68 jobs found

A leading Professional Services company is seeking a GCP Platform Provisioning Engineer on a contract basis to work on a project with a leading financial client. You will be needed onsite in Bournemouth 4 times per week. Essential Skills & Experience Strong hands-on experience with Google Cloud Platform (GCP) . Proven experience designing, implementing and managing platform provisioning solutions within GCP environments. Strong experience provisioning and managing cloud infrastructure using Terraform (Infrastructure as Code). Strong Python Scripting and automation experience. Experience with Git and modern DevOps practices. Experience implementing automated infrastructure deployment and CI/CD pipelines. Experience using GitHub Co-Pilot and Claude Code to optimise DevOps and software development workflows. Strong ability to work within a Shell environment (eg Bash). Demonstrated ability to drive and implement automation initiatives. Strong hands-on experience with Kubernetes and containerisation technologies. Overview We are seeking an experienced Google Cloud Platform (GCP) Platform Provisioning Engineer to join a leading global financial services organisation on a major cloud transformation programme. This is an exciting opportunity to become part of a next-generation multi-cloud engineering team responsible for building and evolving an enterprise cloud platform spanning Google Cloud Platform (GCP), AWS, Azure and on-premise environments. The successful candidate will play a key role in designing, developing and managing cloud platform provisioning solutions with a primary focus on GCP , while driving infrastructure automation, Kubernetes platform engineering, and AI-assisted DevOps practices. Key Responsibilities Design, implement and maintain platform provisioning and management solutions primarily within Google Cloud Platform (GCP) , with the ability to work across AWS and Azure environments. Design, provision and maintain scalable cloud infrastructure using Infrastructure as Code (IaC). Build, deploy and manage Kubernetes and containerised platforms to support resilient cloud-native applications. Develop automation solutions using Python and Terraform to streamline infrastructure provisioning and operational processes. Implement and enhance automated deployment pipelines for cloud infrastructure and platform services. Leverage AI-assisted coding tools such as GitHub Co-Pilot and Claude Code to improve development efficiency and code quality. Drive automation initiatives to reduce manual intervention and improve platform consistency and reliability. Manage and troubleshoot cloud infrastructure using Shell Scripting and command-line tools (eg Bash). Collaborate closely with engineering, architecture and platform teams to integrate provisioning solutions across the wider cloud platform. Contribute to the continuous development and evolution of a large-scale enterprise multi-cloud platform. Ensure cloud environments adhere to security, compliance and operational best practices. Identify opportunities to improve platform performance, reliability, scalability and developer experience.

Role Title: Cloud Security Engineer Duration: contract to run until 30/11/2026 Location: Knutsford. Hybrid, 3 days per week onsite Rate: up to £630.20 p/d Umbrella inside IR35  Role purpose/summary We are seeking an experienced and highly motivated Security Cloud Engineer to play a critical role in the design, implementation, automation, and security of our multi-cloud infrastructure. This position is ideal for a cloud professional with a strong security mindset who is passionate about protecting cloud-native environments, driving automation, and supporting secure digital transformation initiatives. As a Security Cloud Engineer, you will help shape the future of our cloud security capability by developing and enhancing secure cloud platforms across AWS, Microsoft Azure, and Google Cloud Platform (GCP). Working closely with engineering, security, DevOps, and operational teams, you will contribute to cloud architecture designs, automate security remediation processes, and provide proactive insights into cloud risks, vulnerabilities, and threat mitigation strategies. You will leverage your expertise in cloud security, infrastructure as code, CI/CD pipelines, containerisation, and governance frameworks to ensure that cloud services are secure, resilient, scalable, and aligned with organisational standards. This role requires a hands-on approach and the ability to translate high-level and low-level designs into practical, secure, and operationally effective solutions. Key Responsibilities Drive continuous improvements and enhancements to cloud infrastructure in alignment with business strategy, budget, and security objectives. Design, build, and maintain secure cloud-native solutions across AWS, Azure, and GCP environments. Collaborate with engineering and DevOps teams to deliver secure, scalable, and highly available cloud services. Support business stakeholders in adopting modern cloud-native architectures and security best practices. Develop and implement automation for security monitoring, incident response, remediation, and operational processes. Ensure cloud platforms comply with organisational security standards, governance requirements, and software development life cycle practices. Identify, assess, and mitigate cloud security risks, vulnerabilities, and compliance gaps. Contribute to cloud architecture reviews, security assessments, and threat modelling activities. Work with security tooling and SIEM platforms to improve visibility, detection, and response capabilities. Support incident, problem, and change management processes while maintaining operational excellence. Develop Infrastructure as Code (IaC) solutions to standardise and automate cloud deployments. Partner with development teams to embed security into CI/CD pipelines and DevSecOps processes. Monitor cloud environments and provide recommendations for optimisation, security posture improvement, and operational efficiency. Technical Skills & Experience Essential Requirements Proven experience as a Cloud Engineer, Cloud Security Engineer, DevSecOps Engineer, or similar role. Professional cloud certifications in AWS, Microsoft Azure, or Google Cloud Platform. Experience translating High-Level Designs (HLDs) and Low-Level Designs (LLDs) into secure technical solutions. Strong Scripting and automation skills using PowerShell, Bash, Python, and/or Java. Experience working within Agile and Scrum delivery environments. Expert knowledge of CI/CD pipelines and DevSecOps practices. Strong understanding of cloud security controls, security frameworks, and compliance requirements. Hands-on experience with SIEM platforms and cloud security tooling. Experience with incident, problem, and change management processes. Working knowledge of Wiz Cloud and Wiz Defend security platforms. Strong containerisation experience, including Docker and Kubernetes. Experience administering and securing both Windows and Red Hat Linux environments. Experience implementing operational automation using Chef or similar configuration management tools. AWS Security Expertise Experience creating and managing CloudFormation templates for infrastructure deployment. Strong understanding of AWS Identity and Access Management (IAM), security policies, security groups, and Key Management Service (KMS). Hands-on experience with AWS networking technologies including VPCs, subnets, routing, and load balancing. Experience securing and supporting ECS, EKS, and AWS Lambda workloads. Knowledge of CloudWatch and CloudTrail for monitoring, logging, and auditing activities. Azure Security Expertise Experience developing ARM templates and Bicep scripts for infrastructure automation. Strong understanding of Azure Resource Manager, Azure Policy, and Azure Blueprints governance frameworks. Experience implementing and managing Azure Active Directory, Managed Identities, and Role-Based Access Control (RBAC). Hands-on experience with Azure DevOps pipelines and release management. Knowledge of Azure Monitor, Log Analytics, Microsoft Defender for Cloud, and compliance monitoring tools. Understanding of Azure networking services, including Virtual Networks (VNETs), Network Security Groups (NSGs), Application Gateway, and Azure Firewall. GCP Security Expertise Experience creating infrastructure automation through Deployment Manager and/or Terraform. Knowledge of GCP IAM, Service Accounts, and Organisation Policies. Experience with Cloud Build, Artifact Registry, and Cloud Deploy services. Understanding of GCP networking, including VPCs, Firewall rules, and cloud load balancing. Experience with Cloud Logging, Cloud Monitoring, and Security Command Center. Familiarity with Google Kubernetes Engine (GKE) and cloud-native container orchestration. What Success Looks Like The successful candidate will demonstrate a proactive and security-first approach to cloud engineering, enabling the organisation to maintain a robust, scalable, and compliant cloud ecosystem. You will be instrumental in improving cloud security posture, driving automation, reducing operational risk, and supporting the delivery of innovative cloud solutions that align with business objectives. Desirable Qualifications & Experience Previous experience working within a financial services or other highly regulated environment. Bachelor's degree or higher qualification in Computer Science, Cyber Security, Information Technology, or a related discipline. CISSP (Certified Information Systems Security Professional) certification. Additional cloud security certifications such as AWS Security Specialty, Microsoft Certified Cybersecurity Architect, or Google Professional Cloud Security Engineer. All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply! If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Senior NetBackup Solution Architect (SC Cleared) London, UK The Opportunity We are seeking an experienced Senior NetBackup Solution Architect to join a specialist Professional Services team delivering complex enterprise data protection and cyber resilience solutions across highly regulated customer environments. This is a customer-facing architecture and consulting role, where you will lead technical engagements from discovery and design through to implementation and knowledge transfer. You will work directly with enterprise customers, acting as a trusted advisor to define backup, recovery, and cyber resilience strategies that align with business and operational objectives. Key Responsibilities Lead technical workshops, architecture discussions, and design engagements with enterprise customers. Design and deliver enterprise-scale backup, recovery, and cyber resilience solutions. Translate business requirements into scalable and supportable technical architectures. Provide expertise across NetBackup environments, including upgrades, migrations, and modernisation projects. Drive solution design and implementation activities alongside internal engineering and project delivery teams. Produce High-Level Designs (HLDs), Low-Level Designs (LLDs), and technical documentation. Deliver executive-level presentations and technical briefings to senior stakeholders. Ensure solutions are aligned with security, governance, compliance, and operational requirements. Act as the technical authority throughout the project life cycle. Essential Skills & Experience Must Have Active SC Clearance 8+ years hands-on experience with Veritas NetBackup Strong experience with: NetBackup Administration NetBackup Upgrades and Migrations NetBackup Appliances Backup and Recovery Architecture Enterprise Data Protection solutions Experience designing highly available and resilient backup platforms. Strong understanding of: Disaster Recovery (DR) Business Continuity Cyber Recovery Ransomware Protection Experience working directly with enterprise customers. Proven solution architecture experience within large-scale environments. Strong stakeholder management and presentation skills. Highly Desirable NetBackup Flex Appliances NetBackup Flex Scale MSDP CloudCatalyst Auto Image Replication (AIR) VMware backup solutions Oracle backup integrations SQL Server backup solutions Tape and Disk-based backup architectures Data domain or enterprise storage platforms Cloud & Infrastructure Experience Experience with one or more of the following: Microsoft Azure Amazon Web Services (AWS) Google Cloud Platform (GCP) VMware vSphere Windows Server Linux (RHEL, CentOS, Ubuntu) Automation & Scripting Experience with: Ansible Puppet PowerShell Python Infrastructure as Code (IaC) Ideal Background We are particularly interested in professionals who have worked as: NetBackup Architect Senior NetBackup Consultant Data Protection Architect Backup & Recovery Architect Enterprise Storage Architect Professional Services Consultant NetBackup Flex Specialist Technical Solution Architect Cyber Recovery Architect What Success Looks Like You'll be the go-to technical authority for enterprise customers, helping them modernise and secure their backup and recovery estates while delivering best-practice architecture and exceptional customer outcomes. If you have deep NetBackup expertise , customer-facing consulting experience, and an active SC clearance , we'd love to hear from you. Apply now or contact us for a confidential discussion. GCS is acting as an Employment Business in relation to this vacancy.

Description Engine by Starling , was born out of Starling : the UK's first and leading digital bank. Today, Starling delivers intuitive, customer-centric tools to help over 4.6 million people and small businesses to be 'good with money'. We believe that great technology has the ability to empower customers to save, spend and manage their money in a new and transformative way. Engine is on a mission to promote this philosophy around the world. Engine is a cloud-native, bank-built SaaS platform. We provide a comprehensive and cloud-native solution to power banks around the world, who share our ambition of building businesses designed to evolve, innovate, and meet growing customer demands. The SaaS technology platform is now available to banks, building societies and credit unions around the world, enabling them to benefit from the modern digital features and efficient back-office processes that has helped Starling to achieve its success. At Engine, we follow five guiding principles: listen, keep it simple, do the right thing, own it, and aim for greatness. Having launched in 2022, we are a rapidly-growing organisation who adopts the same agile mindset as our technology. As such, we embrace change, the reimagination of processes and have cultivated an environment where our colleagues - and partners - can design, build and collaborate openly, with a strong degree of ownership and empowerment to get things done. Hybrid Working Engine is headquartered in London, with offices in Dublin, Sydney, Dubai, Toronto and New York. This role will be based in London. We have a hybrid approach to working at Engine - our preference is that you're located within a commutable distance of London (Liverpool Street) to enable in-person collaboration and interaction with your team. About the Role Engine by Starling, the complete, cloud-native banking platform developed and proven by Starling Bank in the UK, is seeking an experienced Marketing and Partnerships Director to lead our global marketing function as we enter our next phase of growth. You will be the architect of Engine's global positioning and reputation, translating our best-in-class digital banking blueprint into a compelling proposition for financial institutions around the world. Reporting into the executive team, you will own the global marketing strategy across brand, digital, communications and demand-driving activity. You will lead a central marketing strategy and operations team and design/content studio while building and overseeing regional marketing capability in priority markets including the US, Europe, Middle East and ANZ. This is a high-impact role for a senior marketing leader who thrives in fast-moving, scaling environments and can operate seamlessly across brand building, digital channels, communications, marketing and events and close collaboration with commercial and sales leadership. Global Marketing Strategy and Leadership Develop and execute a clear global marketing strategy aligned to Engine's commercial goals and long-term growth ambitions. Evolve Engine's positioning, mission and purpose , ensuring we are the undisputed first choice for transformation programmes. Lead and develop a high-performing central marketing team covering marketing operations, brand, digital, content and design. Build and scale regional marketing teams in priority markets, ensuring consistency of brand and messaging while enabling local market impact. Strategic Partnerships & Co-Marketing Ecosystem Marketing: Develop and execute joint marketing strategies with global system integrators (GSIs), technology alliance partners, and consultancy firms to drive indirect pipeline. Partner Enablement: Create comprehensive marketing toolkits, collateral, and joint value propositions to enable partners to effectively pitch Engine by Starling to their financial institution clients. Joint Demand Generation: Architect and execute co-funded account-based marketing (ABM) campaigns and bespoke roundtables alongside strategic partners targeting Tier 1 and Tier 2 banks. Brand, Positioning and Communications Own Engine's brand strategy, ensuring a strong, differentiated position in the core banking SaaS market. Maintain standards of excellence and ensure the Engine brand commands respect from C-suite stakeholders at banks. Ensure effective corporate communications, PR and thought leadership activity, working closely with the Starling Group Corporate Affairs team and external agencies as needed. Act as a senior brand guardian, ensuring consistency across all touchpoints and channels. Digital, Demand and Growth Oversee the digital ecosystem from the website and targeted and high-intent SEO, to social through LinkedIn and flagship events measuring all activity for efficiency and effectiveness. Partner closely with commercial and sales leadership to support pipeline generation, build account based marketing (ABM) campaigns targeting the right financial institutions. Develop engagement with analysts to position Engine as a trusted technology leader Use data and insight to continuously optimise performance, and engagement. Track results and provide leadership with clear ROI. Collaboration and Influence Work closely with Product, Sales, Commercial and Executive teams to ensure marketing supports product strategy and go-to-market priorities. Serve as a senior marketing voice internally, influencing decision-making and representing marketing at executive level. Manage external partners and agencies to deliver high-quality, scalable output. Requirements 10+ years' experience in senior marketing roles, ideally within B2B SaaS, core banking, digital banking or fintech environments. Strong background across marketing, events and partnerships with the ability to balance brand and performance. Proven track record of building and executing partner marketing programs with GSIs, consulting firms, or major cloud providers (e.g., AWS, Azure, Google Cloud). Proven experience leading and scaling teams in fast-growth, international businesses. Demonstrated success building and managing global marketing strategies across multiple regions. Deep understanding of digital marketing channels and modern marketing operations. Commercially astute, with a track record of close collaboration with sales and revenue teams. Confident leader with excellent stakeholder management, communication and storytelling skills. Interview process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial video interview with Engine's Chief Commercial Officer (45 minutes) A secondary, deeper interview, members of the Starling Marketing team including CMO (60 minutes) Final interview with Engine's CEO (45 minutes) Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information . click apply for full job details

Principal Data Engineer (GCP) Northwest - Hybrid Up to £100,000 VIQU are seeking a Principal Data Engineer to join a leading social enterprise that reinvests profits to create thriving, sustainable communities. Following a full transition to a 100% cloud-based data platform, the Principal Data Engineer will play a key part in shaping and leading the organisation's data engineering capability, with a strong focus on technical leadership, platform design and mentoring engineers within a Google Cloud environment. Key Responsibilities of the Principal Data Engineer: Provide technical leadership, coaching and mentoring to data engineers Define how data engineering projects are approached, delivered and governed Work closely with architects to design and evolve the cloud data platform Ensure robust, scalable and compliant data pipelines across the platform Lead best practices around data ingestion, transformation, quality, security and monitoring Drive automation, CI/CD adoption and continuous improvement Challenge technical decisions and raise engineering standards across the team Key Requirements of the Principal Data Engineer: Extensive experience in Data Engineering, with time spent in a Lead or Principal role Strong background working in a cloud-native data platform Hands-on experience with Google Cloud Platform is highly preferred, with consideration for AWS or Azure alongside some GCP Experience with Terraform, Docker and dbt Strong expertise in Data Lake/Data Warehouse solutions Advanced SQL and Python skills Proven experience optimising complex queries Strong understanding of Data Governance, including lineage, data legislation and PII Experience working within Agile/Scrum and the SDLC Willingness to undergo a DBS check Apply now to speak with VIQU IT in confidence. Or reach out to Katie Dark via the VIQU IT website. Do you know someone great? We'll thank you with up to £1,000 if your referral is successful (terms apply). Principal Data Engineer (GCP) Northwest - Hybrid Up to £100,000

Senior Data Manager 90k - 120k per annum + Bonus and Benefits London, Manchester or Glasgow / Hybrid Are you ready to help organisations transform how they use data and AI? Do you thrive on designing cloud-native platforms, solving complex technical challenges and turning emerging AI technologies into real business value? This is your chance to join a market-leading technology consultancy at the forefront of Data & AI transformation. You'll work with major organisations to design and deliver next-generation data platforms that enable AI, advanced analytics and intelligent automation, while developing your own expertise in one of the fastest-growing areas of technology consulting. If you're passionate about cloud architecture, modern data platforms and AI innovation, this is an opportunity you won't want to miss. What you'll be doing You'll play a key role in helping clients design, build and optimise enterprise-scale data platforms that underpin AI-driven transformation. Your responsibilities will include: Designing and delivering secure, scalable and cost-effective cloud-native data platforms across AWS, Azure and GCP to support analytics, AI and operational workloads. Leading cloud transformation initiatives, migrating legacy environments to modern data platforms including Snowflake, Databricks, BigQuery, Synapse, Redshift and other cloud-native technologies. Building Proof of Concepts (PoCs) and Minimum Viable Products (MVPs) for AI and advanced analytics solutions, ensuring they align with business objectives and deliver measurable value. Automating infrastructure, deployments and data pipelines using Infrastructure-as-Code, DevOps, CI/CD and cloud automation tools including Terraform, ARM Templates and CloudFormation. Advising clients on enterprise data strategy, architecture roadmaps and platform design, engaging senior stakeholders and translating complex technical concepts into clear business outcomes. Applying modern architecture principles including Data Mesh, Data Fabric and cloud-native AI architectures while championing best practice, governance and user-centric design. Contributing to business development through proposals, bids and client presentations, while supporting thought leadership, innovation initiatives and continuous improvement across the wider practice. What we're looking for You'll combine strong technical expertise with consulting experience and the ability to influence stakeholders at every level. We're looking for: Significant experience designing enterprise data platforms, cloud architectures and AI-enabled solutions within a consulting or client-facing environment. Around 10+ years' experience working with modern data technologies and architecture, including at least 6 years designing cloud-based data platforms using AWS, Azure or GCP. Hands-on expertise with technologies such as Snowflake, Databricks, Synapse, BigQuery, Redshift or similar enterprise data platforms. Strong knowledge of Infrastructure-as-Code, DevOps, CI/CD, networking, security and identity management for modern cloud environments. Experience designing ETL/ELT solutions, cloud migrations and modern architecture patterns including Data Mesh and Data Fabric. Excellent stakeholder management, consulting and communication skills, with experience shaping strategy, leading architecture discussions and delivering client value. Eligibility for UK Security Clearance (SC). Desirable: Cloud certifications (minimum intermediate level), AI data architecture expertise, Agile delivery experience, cloud cost optimisation knowledge and experience working within the UK Public Sector, Financial Services, Retail, Telecommunications or Transport sectors. If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Platform Architect, Cloud Data Architect, Enterprise Data Architect, Principal Data Architect, Data Engineering Consultant, Cloud Architect, AI Platform Architect, Data & AI Consultant, Data Solutions Architect, Azure Data Architect, AWS Data Architect, GCP Data Architect, Data Engineering Lead, Solution Architect, Snowflake, Databricks, Synapse, BigQuery, Redshift, AWS, Azure, Google Cloud Platform (GCP), Terraform, CloudFormation, ARM Templates, DevOps, CI/CD, ETL, ELT, Data Mesh, Data Fabric, AI Architecture, Infrastructure-as-Code. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Role Overview We are seeking a Senior Developer with strong expertise in Node.js, TypeScript, PostgreSQL, and Google Cloud Platform (GCP) to build and support scalable cloud-native applications for enterprise environments. Key Responsibilities Design and develop scalable backend services using Node.js and TypeScript. Build RESTful APIs and microservices architectures. Develop and optimize PostgreSQL databases and queries. Deploy and manage applications on Google Cloud Platform (GCP). Collaborate with architects, product owners, QA, and DevOps teams. Perform code reviews and mentor junior developers. Drive performance, security, reliability, and operational excellence. Support CI/CD pipelines and automated deployments. Required Skills Strong hands-on experience with Node.js and TypeScript. Expertise in PostgreSQL database design, performance tuning, and optimization. Experience with GCP services such as Cloud Run, GKE, Cloud Functions, Pub/Sub, Cloud Storage, and IAM. Knowledge of Docker, Kubernetes, and CI/CD practices. Experience designing and implementing REST APIs and microservices. Strong understanding of Agile delivery methodologies.

AWS AI Architect 6-Month contract - Inside IR35 - market rate Guildford based - hybrid working - 3 days a week on site Insurance sector What you'll be doing Design and deliver innovative Agentic AI solutions that address client challenges and create measurable business value. Lead the architecture and implementation of autonomous and multi-agent AI systems using hyperscaler AI platforms, with a strong preference for AWS-native services and patterns. Collaborate with business, technology and delivery teams to integrate AI capabilities into enterprise applications, workflows and operating models. Demonstrate modern AI and Agentic AI solutions to clients, clearly articulating technical capabilities, business outcomes and implementation approaches. Translate high-level solution concepts into actionable architecture, design and delivery guidance for engineering teams. Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques. Evaluate emerging AI technologies, frameworks and industry trends to drive innovation and best practice. Provide technical leadership, mentoring and guidance to project teams, promoting excellence in AI solution delivery. What you'll bring Minimum 6 years' experience in Solution Architecture, including at least 2-3 years focused on AI, Generative AI and Agentic AI solutions. Proven experience designing and delivering production-grade Agentic AI solutions on hyperscaler cloud platforms, with AWS experience strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services). Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments. Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent. Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI. Ability to engage confidently with senior stakeholders, communicate complex AI concepts clearly, and demonstrate business value to clients. Experience within the insurance sector is preferred, with an understanding of industry challenges, processes and regulatory considerations. Strong problem-solving, leadership and consulting skills, with a passion for innovation and continuous learning. Eligibility for SC clearance is highly desirable. Disclaimer: This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change.

Dynatrace Developer 6 months Remote Market rates - Outside IR35 Active SC clearance required - eligible candidates will be considered Role Overview Our client is expanding its Dynatrace Observability Practice and is seeking an experienced Senior Observability Consultant to lead the design and deployment of the Dynatrace platform for a UK client. This is a senior, client-facing role for a hands-on technical leader who can own observability solutions end to end - from architecture and design through implementation to ongoing operation and optimisation - while mentoring more junior consultants and acting as the technical point of contact for customer stakeholders. Key Responsibilities Lead observability solution design and architecture, producing High Level Design (HLD), Low Level Design (LLD) and Technical Design documentation, including network zone, environment group and host group design. Own end-to-end deployment of the Dynatrace platform: OneAgent (infrastructure and full-stack modes), Environment ActiveGate installation, and OpenTelemetry (OTEL) collector/agent deployment and configuration. Design and configure dashboards (standard and custom), alerting profiles/segments, problem notifications and workflows, tagging, process (OS service) monitoring, synthetic monitors and SLOs. Implement Dynatrace log management and custom event modelling: log buckets and retention, log events, custom metrics and metric events, and business events derived from logs. Build automation and integrations using the Dynatrace API and Dynatrace Workflows, including integration with ITSM tooling (ideally ServiceNow) for incident and problem management. Act as the technical lead on client engagements: run kickoffs and requirement-gathering workshops, manage the technical relationship with customer stakeholders, and provide regular status reporting. Support the ongoing operation, health and tuning of deployed environments, and contribute to managed / retained observability support services. Mentor and provide technical guidance to junior consultants, and develop and deliver training and enablement sessions to customer teams. Required Technical Skills & Experience Proven, extensive hands-on experience designing, deploying and operating the Dynatrace Observability platform across enterprise environments. Typically 5+ years in observability, monitoring or APM disciplines, with at least 3 years of deep, hands-on Dynatrace delivery. Strong experience producing observability architecture and design documentation and leading technical implementation within structured, phased programmes. Working knowledge of the Dynatrace API and Workflows for automation, integration and data extraction. Awareness of data-protection considerations in observability tooling, including handling of PII in ingested telemetry and use of data-masking / pipeline controls. Familiarity with the wider observability ecosystem and associated technologies: Cloud platforms: AWS, Microsoft Azure and/or Google Cloud Platform Containers and orchestration: Kubernetes, OpenShift and Docker Operating systems: Linux and Windows Server Telemetry and observability signals: OpenTelemetry (OTEL), application performance monitoring (APM), infrastructure monitoring, log monitoring, real user monitoring (RUM) and synthetic monitoring ITSM integration, Strong ServiceNow knowledge, for incident and problem management CI/CD and automation tooling such as Azure DevOps, GitLab, Jenkins, Ansible or Terraform Scripting for automation and data extraction: Python, Bash and/or PowerShell Core networking concepts: firewalls, ports, proxies, DNS and TLS Strong knowledge of Agentic AI technologies and autonomous operations principles Certifications Hold at least one Dynatrace certification appropriate to the level of the role (e.g. Dynatrace Professional). As a senior member of the practice, a professional-level certification is strongly preferred. Delivery & Consulting Skills Demonstrated ability to lead technical workstreams and take day-to-day ownership of delivery within a structured, phased programme. Strong workshop and kickoff facilitation skills, engaging directly with customer stakeholders to gather requirements and validate configuration. Clear, confident written and verbal communication for customer status reporting and technical documentation. Comfortable coordinating with third-party suppliers (e.g. infrastructure / AMS providers) and working within formal change-control processes. Organised and self-sufficient; able to manage concurrent workstreams across multiple client engagements. Desirable / Nice to Have Prior experience delivering Dynatrace or observability onboarding programmes at scale (hundreds of hosts, dozens of applications). Experience contributing to or supporting managed / retained observability support services post go-live. Familiarity with ServiceNow incident and problem management workflows from the ITSM/ITOM side. Experience mentoring or line-managing consultants and shaping practice capability. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Principal Data Engineer - Secure Digital Platform (SDP) Data and Integration Location: Reading (hybrid working) Duration: Initially Until Feb '27 - but very likely to extend (new programme) (Inside IR35) Active SC Clearance Required Role details: We are looking for SC cleared Data Engineers to support our defence client on a contract basis. This role is focused on the Secure Digital Platform (SDP) Data and Integration, and will be based in Reading with hybrid working arrangements. The initial contract will run until February 2027, with a strong likelihood of extension as this is a long term programme. Key Responsibilities: Design and maintain scalable, secure, and resilient data architectures and platforms. Lead the development of enterprise data pipelines, data integration frameworks, and data products. Establish and enforce data engineering standards, patterns, and best practices. Implement DataOps and DevOps methodologies to enhance deployment efficiency and operational reliability. Collaborate with cross-functional teams to comprehend data requirements and deliver effective solutions. Ensure data quality, integrity, lineage, security, and compliance across all data assets. Provide technical leadership, mentoring, and coaching to data engineering teams. Support cloud migration and modernisation initiatives involving data platforms and services. Job Requirements: Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related discipline. Experience in data engineering, software engineering, or data platform development. Significant experience in designing and implementing enterprise-scale data solutions. Extensive experience with cloud data platforms such as Microsoft Azure, AWS, or Google Cloud. Proficiency in SQL, Python, Spark, and modern data processing frameworks. Experience building and managing ETL/ELT pipelines and streaming data solutions. Practical experience with DataOps, DevOps, CI/CD pipelines, and Infrastructure as Code. Expertise in data modelling, data warehousing, and master data management principles. Strong understanding of data governance, metadata management, and data quality frameworks. Desirable Skills: Professional certifications in AWS, Azure, GCP, or Data Engineering. Experience within aerospace, defence, manufacturing, or highly regulated industries. Knowledge of AI/ML platforms and MLOps practices. Experience with graph databases and knowledge engineering solutions. Experience implementing data mesh or data fabric architectures. Enterprise Architecture experience. Experience leading large-scale data modernisation programmes. Knowledge of defence security standards and classified environments. If you are a talented Data Engineer ready to take on a critical role in a dynamic and challenging environment, we would love to hear from you. Apply now to join our client's skilled team and contribute to their innovative projects.

AI & Machine Learning Consultant - Must have an Active DV Clearance - Hybrid Location: Bristol, London, Manchester or Cambridge Salary: 45,000 - 70,000 (DOE) Join one of the UK's leading Defence & Security practices, working on high impact programmes that support national security and help government organisations unlock value from data, AI and machine learning. You will work alongside clients to solve complex challenges using cutting-edge AI, machine learning and data science techniques. You'll be involved throughout the project lifecycle, from understanding user needs and developing prototypes through to deploying scalable, enterprise-grade solutions. What You'll Be Doing Applying Data Science, Machine Learning and AI techniques to solve complex business and operational challenges. Designing, developing and deploying innovative AI and analytics solutions. Working directly with Defence and Security clients to translate requirements into practical outcomes. Building prototypes, proof-of-concepts and production-ready solutions. Supporting the delivery of large-scale transformation and technology programmes. Contributing to new business opportunities, proposals and client engagements. Mentoring colleagues and supporting the growth of Deloitte's AI and Data Science capabilities. Staying at the forefront of emerging AI, Machine Learning and Data Science technologies. What We're Looking For Active Developed Vetting (DV) Clearance. Experience applying Data Science, Machine Learning or AI within Defence, Security, Government or research environments. Strong understanding of Machine Learning techniques and architectures, including Generative AI, Transformers and neural networks. Python and common Data Science libraries. TensorFlow, PyTorch or similar machine learning frameworks. AWS, Azure or Google Cloud AI and Data Science services. Ability to work effectively with technical and non-technical audiences If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Job Title: Lead Systems Integration Tester Salary : 80,000 - 90,000 DOE Location : Cambridge - Predominantly site with occasional home working We're on the hunt for a Lead Systems Integration Tester to join a growing organisation who enable high-speed connectivity without requiring extensive fibre installation and are used in applications such as fixed wireless access, enterprise networks, and communications infrastructure. They need someone to take ownership of the System Test Integration activities; think the planning, development and execution of the E2E system test plans and test cases to ensure product quality and diagnose any issues across the test environments. Things you'll be involved in: Leading the System Integration Test function within a matrix organisation, with Test Engineers working across multiple Scrum teams. Developing and implementing system integration test strategies, plans and test cases for complex technology products, including interoperability and integration testing with customer and third-party systems. Leading the development of automated system tests for new and existing features, while contributing to the ongoing evolution of the test automation framework. Acting as Product Owner for the Regression Test Scrum Team. Driving continuous improvement in the efficiency, quality and flexibility of system test activities. Contributing to the overall test strategy, processes and ways of working. Collaborating closely with engineering and test teams across the organisation. Managing relationships with external suppliers and third-party testing partners where appropriate. Supporting customer demonstrations, trials and validation activities. Working closely with software, hardware and test leads to ensure successful product delivery. Staying up to date with emerging testing methodologies and technologies within the telecommunications and wireless communications sector. Skills & Experience: (Essential) Programming experience in C/C++, Python or similar languages Proven experience in a senior software or systems test leadership role and experience building, leading and developing high-performing test teams. Strong background in defining and implementing test strategies and experience acting as a Product Owner within a testing environment. Strong understanding of Agile development methodologies and the software development lifecycle (SDLC). Expert knowledge of system integration testing principles and best practices and experience leading test automation initiatives. Knowledge of modern wireless communications technologies; experience with 5G architectures would be advantageous. Ability to think strategically and align testing activities with wider business objectives. Strong organisational skills, with the ability to prioritise effectively in a fast-paced environment. Excellent communication, collaboration and stakeholder management skills. Strong analytical and problem-solving abilities and a proactive, collaborative and adaptable approach. (Desirable) Understanding of analogue and digital electronics, including radio frequency (RF) principles. Strong working knowledge of Linux. Degree (or equivalent) in Computer Science, Software Engineering or a related discipline. Experience leading small to medium-sized software development or testing projects. Familiarity with software engineering best practices, including code reviews, unit testing and modular design. Experience with modern development and CI/CD tools such as Kubernetes, Jira and Jenkins. Experience using Git or other version control systems. Understanding of cloud infrastructure, databases and their impact on system performance. Familiarity with cloud platforms such as AWS, Microsoft Azure or Google Cloud. Knowledge of network management protocols such as SNMP, NETCONF and YANG.

Site Reliability Engineer (GCP & Kubernetes) London (Hybrid, 2 days onsite per week) 6-Month Contract Inside IR35 Competitive Day Rate We are looking for an experienced Site Reliability Engineer (SRE) to join a high-performing technology team responsible for building, securing, and operating cloud-native platforms that support innovative AI-driven applications. This is a key role focused on cloud infrastructure development, platform reliability, security hardening, and operational excellence . You will work closely with software engineers, platform teams, and technical stakeholders to design, deploy, and maintain resilient production systems capable of supporting complex and scalable workloads. You will be responsible for the reliability, performance, scalability, and security of cloud-based applications and infrastructure, ensuring services are delivered efficiently and operate effectively in production environments. Key Responsibilities: Design, build, and maintain cloud infrastructure within Google Cloud Platform (GCP). Deploy, manage, and optimise Kubernetes-based environments and containerised applications. Develop and support backend services and operational tooling using Python. Create and maintain Infrastructure as Code using Terraform. Implement security hardening, monitoring, observability, and reliability best practices across cloud platforms. Troubleshoot and resolve complex production issues, ensuring minimal service disruption. Develop and improve CI/CD pipelines to enable efficient and reliable software delivery. Work closely with development teams to improve platform resilience, scalability, and operational performance. Implement monitoring, alerting, and incident response processes to support production systems. Drive automation initiatives to reduce operational overhead and improve system reliability. We're Looking For: Proven experience as a Site Reliability Engineer, Platform Engineer, Cloud Engineer, or DevOps Engineer . Strong hands-on experience with Google Cloud Platform (GCP) . Experience deploying, operating, and supporting production cloud applications at scale . Strong knowledge of Kubernetes and container orchestration technologies. Commercial experience developing with Python . Experience building and supporting backend services and APIs, ideally using FastAPI . Strong knowledge of Terraform and Infrastructure as Code principles. Experience designing highly available, resilient, and secure cloud environments. Strong troubleshooting and incident management skills within production environments. Experience with CI/CD pipelines, Git, GitHub, and DevOps best practices . Strong understanding of cloud networking concepts, with particular emphasis on GCP networking . Ability to take ownership of production systems and drive continuous improvement initiatives. Desirable: Microsoft Azure experience. Experience deploying and supporting AI/ML applications in production environments. Exposure to Large Language Models (LLMs), NLP, or agent-based systems. Experience with observability and monitoring tools such as Sentry , Prometheus, Grafana, or similar platforms. Strong Docker and multi-container application architecture experience. Experience working within scientific, pharmaceutical, genomics, or bioinformatics environments. Start-up or high-growth technology company experience. Open-source software contributions. Technical leadership, mentoring, or coaching experience. Contract Details: 6-Month Initial Contract Inside IR35 London-based Hybrid Working (2 days onsite per week) Competitive Day Rate Potential extension opportunities The Opportunity This role offers the chance to work on modern cloud-native systems supporting innovative AI-enabled technologies. You'll be part of a collaborative engineering environment where reliability, automation, security, and scalability are key priorities, with the opportunity to make a significant impact on critical production platforms. If you're a Site Reliability Engineer or Platform Engineer with strong GCP, Kubernetes, Terraform, and Python experience, we'd love to hear from you.

Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

ROLE OVERVIEW We are looking for a strategic and execution-focused Journey & Lifecycle Senior Manager to lead customer journey design and lifecycle marketing within the Marketing Operations function at K3 Advisory Group. You will own the Salesforce Marketing Cloud (SFMC) product and customer journey function - designing, building, and optimising automated journeys that nurture leads from MQL through to revenue and support cross-sell and retention objectives. Working closely with the CDP Product Manager, RevOps Manager, and campaign teams, you will ensure K3's customer communications are personalised, data-driven, and commercially effective. COMMERCIAL OBJECTIVES • Direct + influenced multi-channel pipeline coverage & revenue • Improved sales conversion of pipeline to opportunity • ICP-hyper-personalised, scaled outreach with full-funnel coverage • Data integrity, health & sender reputation management • Cross-sell & referrer orchestration • Group + brand lead volumes, opportunity CVR, revenue acceleration - orchestrating customer journeys KEY RESPONSIBILITIES Leadership & Management • Own design, orchestration, governance & optimisation for lifecycle marketing and email/SMS channels • Transforming intelligence outputs from CRM, AI, ICP and behaviour into revenue-generating journeys • Sales pipeline orchestration, driving opportunity-to-revenue conversion Functional Responsibilities • You will take functional ownership across 23 BUs, leading lead nurture, opportunity acceleration, cross-sell, referral partner, buyer, customer, event and sales enablement journeys. • You will own Salesforce Marketing Cloud (SFMC) end-to-end - Journey Builder, Contact Builder, Data Extensions, Automation Studio, Mobile Studio, Email Studio and the personalisation frameworks that sit across them. • You will build and manage a full journey portfolio spanning acquisition (lead, ICP and intent nurture), conversion (sales acceleration, opportunity nurture), growth (cross-sell), partner (referrer and introducer journeys) and retention (client engagement and reactivation). • You will develop the lifecycle marketing roadmap across every business, mapping the path from lead to MQL, SQL, opportunity, cross-sell and advocacy through a clear lifecycle framework, journey architecture and contact strategy. • You will design journey architecture from the ground up - entry logic and triggers, decision trees, exit and suppression logic, and channel orchestration - working closely with the AI Operations Manager and Performance team. • You will set the standard for how SFMC is built and managed, delivering execution standards, governance and reusable assets across Journey Builder, Automation Studio, Data Extensions, triggered sends and dynamic content. • You will operationalise AI-driven personalisation, turning inputs like ICP, intent, propensity, industry, persona and opportunity stage into tailored email content, CTAs, case studies, offers and send timing. • You will orchestrate journeys across email, SMS, website, sales notifications and paid audiences, defining the sequencing, cadence, frequency and escalation paths that keep communications relevant. • You will build K3's cross-sell engine, developing the models, journeys and group revenue programmes that unlock more value from every client relationship. • You will grow K3's partner and referrer channel through dedicated journeys for referrer onboarding, introducer nurturing, referral activation and reporting. • You will optimise journeys for revenue, not just opens - refining entry criteria, messaging, cadence and journey paths to maximise opportunity creation and pipeline generation. • You will own journey analytics and reporting, giving the business a clear view of coverage, engagement, commercial impact and operational health. • You will lead and develop your team, setting clear objectives and driving strong performance. • You will protect the customer experience through strong governance, owning contact frequency, suppression and prioritisation rules, resolving journey conflicts, and stewarding audience governance across the board. • You will stay ahead of evolving sender reputation and deliverability requirements from Microsoft and Google, proactively adapting K3's data integrity and sender practices as the rules governing email placement continue to change. KEY PERFORMANCE MEASURES • Coverage - lifecycle conversion, revenue contribution, engagement performance • Coverage - personalisation coverage, CTR, conversion uplift • Quality - journey effectiveness, automation coverage, conversion performance • Quality - build quality, automation reliability, deployment velocity • Quality - deliverability, unsubscribe rates, complaint rates • Email channel - engagement, conversion • Revenue Ops - direct + influenced contribution across leads, SQLs, opportunities and revenue • Cross-sell / referrer - pipeline, revenue, conversion rate • Revenue optimisation - revenue per journey, pipeline per journey, opportunity conversion rate WHAT WE OFFER • Competitive salary, commensurate with experience and seniority • Performance-related bonus linked to individual and business outcomes • Hybrid and flexible working arrangements • Structured professional development budget and learning opportunities • Pension and healthcare options • Exposure to a broad and diverse portfolio of professional services businesses across K3 Advisory Group • A fast-paced, commercially driven environment with real scope for career progression K3 Advisory Group is an equal opportunities employer. This job specification sets out the principal responsibilities for this role and is not an exhaustive list of duties. Responsibilities may evolve over time in line with the needs of the business.

CyberArk Architect 6 Month contract initially + Extensions Based: Max 3 days p/w Onsite in Reading Rate - £450 - £560 (Flexible) p/d via Umbrella We have a great opportunity with a world leading organisation where you will be provided with all of the support and development to succeed. A progressive organisation where you can really make a difference. We have a great opportunity for a CyberArk Architect on a long term program of work. We're looking for a CyberArk Architect who will play a critical role in designing, implementing, and evolving enterprise-wide Privileged Access Management (PAM) and Identity Security solutions. This role provides technical leadership for CyberArk architecture, ensuring secure management of privileged identities, credentials, secrets, and access across on-premises, cloud, and hybrid environments. The CyberArk Architect partners with security, infrastructure, cloud, and application teams to deliver scalable, resilient, and compliant identity security capabilities that mitigate cyber risk and support business objectives Key Responsibilities: * Design, implement, and maintain CyberArk PAM solutions, including Privileged Access Manager, Privilege Cloud, Endpoint Privilege Manager (EPM), and Secrets Management capabilities. * Define and govern privileged access architecture standards, ensuring alignment with security policies, compliance requirements, and industry best practices. * Lead CyberArk onboarding activities for Servers, databases, applications, cloud platforms, and privileged accounts across enterprise environments. * Develop and maintain CyberArk integrations with identity providers, SIEM platforms, ITSM tools, cloud services, and enterprise applications. * Provide technical leadership and architectural guidance for PAM projects, upgrades, migrations, and transformation initiatives. * Collaborate with security, infrastructure, DevOps, and application teams to implement least-privilege access controls and secure credential management practices. * Conduct architecture reviews, risk assessments, and security design evaluations to identify and mitigate privileged access risks. * Drive automation of privileged access workflows, account onboarding, credential rotation, and compliance reporting. * Monitor CyberArk platform health, performance, and service availability, ensuring optimal operational efficiency and scalability. * Produce architecture documentation, technical standards, solution designs, and executive-level reports for stakeholders and leadership teams. Key Skills & Experience: * Ideally 8-10 years of experience in Cyber Security, with ideally 4 years focused on Privileged Access Management and CyberArk technologies. * Proven experience designing and implementing CyberArk PAM solutions in large-scale enterprise environments. * Strong expertise in CyberArk components, including Digital Vault, CPM, PVWA, PSM, PTA, EPM, Conjur, and Secrets Management solutions. * Experience with cloud platforms such as Microsoft Azure, AWS, and Google Cloud Platform, including privileged access security controls. This is an excellent opportunity on a great project of work, If you are looking for your next exciting opportunity, apply now for your CV to reach me directly, we will respond as soon as possible. LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Senior Cloud Architect - Azure & Google Cloud Platform (GCP) Summer-Browning Associates is currently supporting our central government client, who is seeking a Senior Cloud Architect for an initial 12-month assignment with the option to extend. Location: London Hybrid The ideal candidate will possess an active security clearance and have a strong background in Senior Cloud Architecture, with the following skills and experiences: Proven experience in designing and implementing solutions on Azure & Google Cloud Platform (GCP) Experience leading Cloud security architecture for large-scale cloud hosting (specifically Azure and GCP) in high-threat government Tier 2/3 secure environments. Experience in defining cloud strategies, architecture standards, and governance policies. Ability to lead the automation of infrastructure deployment and configuration using Infrastructure as Code (IAC) tools. Deep understanding of cloud networking, identity, security, resilience, and platform engineering. Proven ability to lead technical design initiatives across multiple domains, including Data, Digital, Security, and other technical areas. Google Professional Cloud Architect certification is highly desirable. To apply, please submit your latest CV for review.

Data Lead - GCP We are looking for an experienced Data Manager to lead a high-performing Data Engineering team building scalable data and reporting platforms used by global stakeholders. In this role, you will guide the development of high-throughput, database-centric applications that process and deliver critical operational data at scale. Working within a cloud-first architecture on Google Cloud Platform (GCP), you will play a key role in designing and delivering modern data solutions using BigQuery and distributed systems. You will lead a geographically distributed team and collaborate with stakeholders across the business to deliver reliable, high-performance data platforms that support a global client base. This role is eligible for hybrid working in the North West or Midlands About the Team The Data Engineering team builds and maintains large-scale data systems designed for performance, reliability, and efficiency. Our platform includes: Google Cloud Platform (GCP) architecture BigQuery data warehousing High-throughput distributed applications Batch data processing pipelines Integration with REST and SOAP APIs Windows and web services Web-based applications and reporting platforms As Lead Engineer, you will drive technical delivery while helping evolve the team s cloud and data capabilities. What You ll Be Doing Leading and mentoring a geographically distributed Data Engineering team Driving the development of cloud-based data and reporting solutions on GCP Owning the delivery of scalable data platforms that support global operations Supporting the adoption of AI tools and automation to enhance engineering workflows Collaborating with stakeholders across multiple departments to prioritise and deliver projects Managing technical risks, issues, and cross-team dependencies Improving engineering practices, processes, and delivery efficiency Ensuring high standards of system performance, scalability, and reliability Skills and Experience Strong experience with Google Cloud Platform (GCP) and BigQuery Deep understanding of cloud architecture and distributed data systems Commercial database development experience using SQL Server, T-SQL, BigQuery or GoogleSQL Experience implementing data platforms, reporting systems, or large-scale data pipelines Experience working with AI tools to improve development workflows Experience designing and implementing cloud-native solutions Experience working with large-scale global data platforms is advantageous

Agentic Technical Lead (Contract) Location: London (On-site) Contract: Contract About the RoleWe're a specialist AI consultancy that partners with CEOs, executive leadership teams, and Family Offices to turn AI ambition into measurable commercial outcomes. Rather than building technology for technology's sake, we focus on delivering practical AI solutions that reduce costs, increase revenue, and create sustainable competitive advantage. Our consultants work on complex, high-impact engagements across multiple industries, helping organisations design and implement AI strategies while avoiding wasted investment, vendor lock-in, and unnecessary operational risk. You'll work directly with senior decision-makers and play a key role in delivering enterprise-grade AI solutions from strategy through to implementation. We're looking for an experienced Agentic Technical Lead to lead the architecture, development, and deployment of advanced agentic AI systems across a portfolio of consulting engagements. The RoleAs an Agentic Technical Lead, you'll provide technical leadership across multiple AI transformation projects, working closely with clients to understand business objectives and translate them into scalable, secure, and production-ready AI solutions. You'll lead technical discovery workshops, define solution architectures, oversee implementation, and ensure successful delivery from proof of concept through to production. Working alongside engineers, data specialists, and business stakeholders, you'll establish technical standards, review solution designs, and drive engineering excellence throughout the delivery lifecycle. This is a hands-on leadership role requiring both deep technical expertise and strong consulting skills. You'll regularly engage with senior executives, communicate technical concepts in a commercially meaningful way, and help shape AI strategies that deliver measurable business value. Key Responsibilities Lead the design, architecture, and delivery of agentic AI solutions for consulting engagements. Translate business challenges into scalable AI architectures and technical roadmaps. Guide multidisciplinary engineering teams through end-to-end solution delivery. Conduct technical discovery sessions with senior stakeholders and executive teams. Review architecture, code quality, and engineering standards to ensure robust delivery. Evaluate AI tools, frameworks, and platforms to recommend the most appropriate technologies. Run proofs of concept and technical experiments to validate solution approaches. Ensure solutions meet requirements for security, scalability, governance, and compliance. Document technical decisions, risks, and outcomes for both technical and executive audiences. Mentor engineers and contribute to the continuous improvement of delivery methodologies and best practices. About YouYou'll combine strong technical capability with a consulting mindset, enjoying the challenge of solving complex business problems through AI. You'll have: Significant experience leading AI, machine learning, or agentic AI projects from concept through production. Strong software engineering skills using languages such as Python or TypeScript. Experience designing cloud-native solutions on AWS, Azure, or Google Cloud Platform. Expertise in systems architecture, APIs, integration patterns, and modern data pipelines. A track record of translating business objectives into practical technical solutions. Experience leading technical teams and coordinating delivery across multiple workstreams. Knowledge of AI governance, security, risk management, and responsible AI practices. Excellent communication skills with experience working directly with executive stakeholders. A degree in Computer Science, Engineering, Mathematics, or a related discipline, or equivalent commercial experience. Why Join Us?This is an opportunity to work on some of the most commercially impactful AI programmes in the market, partnering directly with senior business leaders on strategic transformation initiatives. You'll be part of a collaborative consultancy environment where technical excellence, commercial thinking, and measurable outcomes are equally valued. Every engagement presents new challenges, industries, and opportunities to shape how organisations adopt and scale AI responsibly. If you're passionate about building production-ready agentic AI systems and want to combine deep technical leadership with meaningful business impact, we'd love to hear from you. Eligo Recruitment is acting as an Employment Business in relation to this vacancy. Eligo is proud to be an equal opportunity employer dedicated to fostering diversity and creating an inclusive and equitable environment for employees and applicants. We actively celebrate and embrace differences, including but not limited to race, colour, religion, sex, sexual orientation, gender identity, national origin, veteran status, and disability. We encourage applications from individuals of all backgrounds and experiences and all will be considered for employment without discrimination. At Eligo Recruitment diversity, equity and inclusion is integral to achieving our mission to ensure every workplace reflects the richness of human diversity.