151 jobs found

Enterprise Application Architect - 2 YR FTC Location: London (Hybrid Working - 2 days a week in the office) Contract: Fixed-Term Contract (2 Years) Salary: Up to 84,600 per annum plus excellent benefits About the Role An established client based in London is seeking an experienced Enterprise Application Architect to help shape and deliver its digital transformation strategy. Working within the Enterprise Architecture function, you will define and govern target-state application architecture, develop strategic roadmaps, and ensure technology investments align with institutional priorities. You will provide architectural leadership across major programmes and operational services, influence senior stakeholders, support application modernisation and portfolio rationalisation initiatives, and act as deputy to the Head of Enterprise Architecture when required. Key Responsibilities Define and maintain enterprise application architecture strategy, standards, principles and governance. Produce TOGAF-aligned architecture artefacts, including principles, roadmaps, gap analyses and transition architectures. Lead application portfolio rationalisation, modernisation and legacy retirement initiatives. Develop and govern target-state application architecture across projects and services. Evaluate emerging technologies, including AI and automation platforms. Define integration architecture strategy and support integration platform evolution. Ensure alignment across business, data, technology and application architecture domains. Embed security-by-design, data integration principles and architecture governance. Support cloud-smart strategies across Azure, hybrid and multi-cloud environments. Provide leadership, mentoring and guidance to architects and technical teams. Influence technology strategy, investment decisions and architectural roadmaps. Essential Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, Systems Analysis or a related discipline, or equivalent experience. TOGAF Enterprise Architecture Practitioner certification. Working knowledge of ArchiMate or a comparable enterprise architecture modelling framework. Essential Experience Extensive experience in Enterprise and Application Architecture within large, complex organisations. Significant experience producing TOGAF-aligned architecture deliverables, including roadmaps, target architectures and transition plans. Strong experience using enterprise architecture tools such as ArchiMate, Sparx Enterprise Architect, Ardoq or similar. Experience applying cloud-smart architecture strategies, with Azure expertise essential and AWS/GCP desirable. Deep understanding of application architecture patterns, lifecycle management and enterprise architecture governance. Experience leading application portfolio rationalisation and transformation programmes. Experience embedding automation-first and AI-enabled approaches across application estates. Experience defining integration architecture strategies and supporting integration platform evolution. Experience aligning application architecture with business, data and technology domains. Experience mentoring architects and operating in a senior or deputy leadership capacity. Understanding of ITSM and ITIL frameworks within managed application environments. Essential Skills Ability to balance long-term architectural strategy with short-term delivery priorities. Strong analytical, planning and enterprise-scale decision-making skills. Excellent written, verbal and stakeholder communication skills. Ability to influence, guide and facilitate decision-making at all levels. Ability to communicate complex technical concepts to technical and non-technical audiences. Strong understanding of IT standards, controls and governance frameworks. Ability to assess and communicate the strategic, operational and financial impact of technology decisions. Ability to solve complex architecture challenges, including application rationalisation, legacy retirement and emerging technology evaluation. Desirable Experience with automation platforms and intelligent automation technologies. Experience evaluating AI and automation platforms within an enterprise architecture context. Personal Attributes Technology and vendor-neutral, with the ability to evaluate solutions objectively. Demonstrates intellectual curiosity, integrity and professional credibility. Passionate about shaping a future-focused application estate and driving digital transformation. Strong leadership and people management capabilities. Recognised as a credible authority in application architecture with the ability to influence senior stakeholders. Additional Information This is an excellent opportunity to join a forward-thinking organisation and play a key role in shaping its future technology landscape through enterprise architecture leadership and digital transformation. Salary: Up to 84,600 per annum Contract: Fixed-Term (24 Months) Location: London / Hybrid Working 2 days a week in the office To apply, please submit your CV and supporting statement outlining your suitability for the role to (url removed) Services advertised are those of an Employment Agency.

Network DNS Architect Location: Wokingham, UK Work Mode: Office based (5 days per week) Contract Type: Contract Duration: 6 months Rate: 510 per day (Inside IR35) We are seeking an experienced Network DNS Architect to design, implement, and manage enterprise-scale DNS infrastructure within a large, complex environment. This role is ideal for a senior networking professional with deep expertise in DNS architecture, network design, and security, ideally with experience working in regulated or secure environments. You will take ownership of DNS strategy across on-premises, cloud, and hybrid infrastructures, ensuring high availability, resilience, and strong security controls. The role requires close collaboration with network, security, and cloud engineering teams, along with the ability to provide technical leadership and mentorship. Key Responsibilities Design and architect scalable and resilient DNS solutions across enterprise environments Define DNS strategy including high availability, redundancy, and disaster recovery Manage and optimise enterprise DNS platforms such as Infoblox, BIND, BlueCat, or Microsoft DNS Implement DNS security controls including DNSSEC, DDoS mitigation, and threat protection Troubleshoot complex DNS and network infrastructure issues Work closely with network, security, and cloud teams on integration and optimisation Produce technical documentation, standards, and operational procedures Provide technical leadership and guidance to engineering teams Required Skills and Experience Strong background in DNS architecture and enterprise network design Deep understanding of DNS protocols (UDP/TCP, recursive and authoritative DNS) Strong IP networking knowledge including TCP/IP, routing, and switching Hands-on experience with enterprise DNS platforms (Infoblox, BIND, BlueCat, or Microsoft DNS) Experience with cloud DNS solutions such as AWS Route 53, Azure DNS, or Google Cloud DNS Knowledge of network security principles and DNS protection mechanisms Experience designing highly available and resilient systems Strong troubleshooting and analytical skills Preferred Experience Security clearance or eligibility for security clearance Certifications such as CCNP, CCIE, Infoblox certification, or cloud certifications Experience in government, utilities, or other regulated sectors Soft Skills Strong stakeholder communication and collaboration skills Ability to work effectively in secure environments Leadership and mentoring capability Strong problem-solving mindset

AI Engineers & Technical AI Leaders Scotland Hybrid AI Engineer Financial Services (Hybrid) Join a leading consulting and technology firm building production-grade AI solutions across banking, risk, fraud and enterprise platforms. The role: - Build AI-enabled platforms and intelligent workflows - Work with LLMs, RAG pipelines and embedding models - Develop scalable backend services and AI integrations - Collaborate across engineering, architecture and business teams - Support AI deployment, governance and operational rollout Tech environment: Python/SQL LLMs (prompt engineering, fine-tuning, RAG) LangChain/LangGraph Agent frameworks Vector databases FastAPI/APIs AWS/Azure/GCP/Databricks CI/CD, MLOps/LLMOps What you'll bring: - Strong software or data engineering foundations - Experience delivering AI or AI-enabled solutions - Exposure to cloud and modern data platforms - Financial Services or regulated industry experience (essential) - Strong communication and stakeholder skills Levels: Engineer to Senior Manager Open to a confidential chat about the market? Apply or get in touch directly.

We're hiring AI Engineers and Technical AI Leaders in Manchester A leading consulting and technology firm is growing its AI capability across financial services and they're looking for engineers who build things that actually make it to production. You'll be working on intelligent platforms, LLM-powered workflows, and RAG pipelines across banking, risk, fraud, and enterprise environments. Think Python, LangChain, vector databases, FastAPI, and cloud platforms like AWS, Azure, and Databricks. What matters most: Solid software or data engineering foundations Hands-on experience delivering AI solutions end to end Exposure to regulated or financial services environments The ability to communicate clearly with both technical and business stakeholders Roles are open across multiple levels from Engineer through to Senior Manager so whether you're looking to grow or to lead, there could be a fit here. Based in Manchester with a hybrid setup. Interested, or just curious about the market? Apply below or send a direct message for a confidential conversation.

AI Engineer - FS consulting London A leading consulting and technology firm is seeking AI Engineers and Technical AI Leaders to join their team in London on a hybrid basis. The business delivers production-grade AI solutions across banking, risk, fraud and enterprise platforms, and is growing its engineering capability across multiple seniority levels, from Engineer through to Senior Manager. Key Responsibilities In this role you will design and build AI-enabled platforms and intelligent workflows, working with large language models (LLMs), retrieval-augmented generation (RAG) pipelines and embedding models. You will develop scalable backend services and AI integrations, collaborating closely with engineering, architecture and business teams throughout. You will also support AI deployment, governance and operational rollout to ensure solutions are production-ready and compliant. What We're Looking For The ideal candidate will bring strong foundations in software or data engineering, combined with hands-on experience delivering AI or AI-enabled solutions in a professional environment. You should have exposure to cloud platforms and modern data infrastructure, and experience working within Financial Services or another regulated industry is essential. Technical skills relevant to this role include Python and SQL, LLM development techniques such as prompt engineering, fine-tuning and RAG, frameworks including LangChain and LangGraph, agent frameworks, vector databases, FastAPI, and cloud platforms such as AWS, Azure, GCP or Databricks. Familiarity with CI/CD, MLOps and LLMOps practices is also expected. Strong communication skills and the ability to engage effectively with stakeholders across technical and business functions are important at all levels.

AI Solution Architect - FS Consulting A leading consulting and technology firm is seeking experienced AI Solution Architects and Technical AI Leaders to help shape enterprise AI and GenAI strategy for major banking clients. Based in Scotland on a hybrid working model, these roles focus on moving AI beyond proof of concept into secure, production-grade deployment across regulated financial environments. Key Responsibilities Design AI and GenAI architecture strategies and roadmaps that align with enterprise objectives. Build scalable AI/ML and Agentic AI platforms, working across large language models (LLMs), retrieval-augmented generation (RAG), embeddings, and semantic search. Support AI deployment, governance, and integration patterns, and advise clients on platform capability and implementation strategy. Collaborate closely with engineering, data, DevOps, and business teams to deliver end-to-end solutions. Tech Environment Python, LLMs (prompt engineering, fine-tuning, RAG), LangChain/LangGraph, agent frameworks, vector databases, MLOps/LLMOps, AWS, Azure, GCP, Databricks, Kubernetes, and GPU infrastructure. What We're Looking For Proven experience designing enterprise AI or ML architectures, with a strong understanding of cloud and modern data platforms. Demonstrable exposure to scalable AI deployment and integration patterns is essential, as is experience within financial services or another regulated industry. Strong stakeholder engagement and communication skills are required, with the ability to advise at a senior client level. Seniority levels considered range from Manager to Associate Director, and applications from candidates across this spectrum are welcomed.

Overview Provide technical leadership across development teams to ensure the design and delivery of high-quality, scalable, and maintainable software solutions. The role combines hands-on development expertise with leadership responsibilities, translating business requirements into robust technical solutions while driving engineering excellence, delivery consistency, and collaboration across onshore and offshore teams. Responsibilities Technical Leadership & Solution Delivery Lead the design and development of key features, components, and services across the application stack Provide hands-on guidance in building scalable applications using React, Node.js, and TypeScript Own critical technical decisions, ensuring alignment with architectural standards and long-term scalability goals Act as the primary escalation point for complex technical challenges and design issues Solution Design & Requirement Translation Translate business and functional requirements into technical designs and implementation plans Collaborate with product owners, business analysts, and stakeholders to refine requirements and define solution approaches Produce and review technical design documentation, API specifications, and architectural artefacts Engineering Excellence & Governance Define and enforce coding standards, development best practices, and quality benchmarks Conduct code reviews to ensure maintainability, performance, and security compliance Ensure adherence to DevSecOps practices, including CI/CD, automated testing, and secure coding Monitor and improve non-functional requirements such as performance, scalability, reliability, and resilience Team Leadership & Offshore Coordination Guide and mentor offshore and distributed development teams, ensuring alignment to delivery standards Allocate tasks, oversee progress, and provide regular technical direction to team members Facilitate knowledge transfer, technical upskilling, and team capability development Ensure effective coordination between onshore and offshore teams, managing dependencies and delivery risks Collaboration & Stakeholder Engagement Work closely with architects, QA teams, DevOps engineers, and business stakeholders Participate in and contribute to design reviews, sprint planning, and governance forums Communicate technical decisions, risks, and progress clearly to both technical and non-technical audiences Delivery & Agile Execution Support Agile delivery processes including backlog refinement, sprint planning, estimation, and retrospectives Ensure timely and predictable delivery of features aligned with sprint and programme objectives Identify risks and proactively implement mitigation strategies Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent experience Essential skills Core Technologies Front-end: React.js, HTML5, CSS3, JavaScript (ES6+), TypeScript Back-end: Node.js (Express.js/NestJS) API Development: RESTful services, microservices architecture Databases: SQL (PostgreSQL/MySQL) and NoSQL (MongoDB) Architecture & Design Strong understanding of software architecture patterns (microservices, layered architecture, event-driven systems) Experience with scalable and cloud-native solution design Knowledge of system integration patterns and API design principles DevOps & Cloud Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins) Familiarity with cloud platforms (Azure/AWS/GCP) Exposure to containerisation (Docker) and orchestration (Kubernetes) Engineering Practices Strong grounding in clean code principles and design patterns (SOLID, DRY) Experience with test automation, code quality tools, and static analysis Understanding of security best practices and compliance requirements Experience Overall experience with strong hands-on development background Proven experience in technical leadership or senior development roles Experience delivering enterprise-scale applications in Agile environments Exposure to distributed delivery models (onshore/offshore teams) Non-Functional Expectations Strong leadership, mentoring, and team management capabilities Excellent communication and stakeholder engagement skills Ability to balance technical depth with delivery and business priorities Proactive problem-solving and decision-making mindset High level of accountability and ownership Expected Outcomes & Success Measures Solution Quality & Delivery Delivery of high-quality, scalable, and production-ready solutions aligned with business requirements Strong alignment between functional requirements and technical implementation Reduction in defects and improved system stability Team Performance & Coordination Efficient coordination between onshore and offshore teams, resulting in predictable delivery outcomes Improved team productivity, technical capability, and adherence to standards Engineering Excellence Consistent enforcement of coding standards, architecture principles, and best practices Measurable improvements in code quality, test coverage, and deployment reliability Stakeholder Value Positive stakeholder feedback on solution quality, responsiveness, and collaboration Contribution to successful delivery of programme and release milestones Benefits Collaborative working environment - we stand shoulder to shoulder with our clients and our peers through good times and challenges We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses Competitive company benefits Always working as one team, our people are not afraid to think big and challenge the status quo As a Disability Confident Committed Employer we have committed to: Ensure our recruitment process is inclusive and accessible Communicating and promoting vacancies Offering an interview to disabled people who meet the minimum criteria for the job Anticipating and providing reasonable adjustments as required Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people "We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age". We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Principal IAM Engineer is the senior technical authority for identity services, responsible for designing, implementing, and governing enterprise-wide IAM capabilities across workforce, partner, and customer identities. This role combines deep hands-on engineering with architecture and leadership, driving the modernization of authentication, authorization, identity lifecycle, and privileged access controls across our cloud and on-prem environments. Responsibilities: Own the end to end technical delivery of IAM services, including identity lifecycle management, authentication, authorization, SSO, and privileged access controls, ensuring they are secure, scalable, and highly available. Lead design sessions, collaborating with Entrprise Architecture, and implementation of IAM integrations for SaaS, on prem, and AWS cloud platforms, including federation (SAML, OIDC, OAuth), MFA, and Passwordless capabilities. Serve as the primary escalation point for complex IAM engineering issues; perform root cause analysis and drive long term remediation and hardening of IAM platforms and related services. Partner with security architecture, infrastructure, application, and HR/IT teams to align IAM solutions with enterprise security strategy, compliance obligations, and business objectives. Define IAM engineering standards, patterns, and reference architectures; guide other engineers in implementing secure onboarding patterns for applications into IGA, PAM, and SSO platforms. Lead modernization initiatives. Contribute to audits, risk assessments, and regulatory reviews by providing technical evidence, designing compensating controls, and closing identified IAM control gaps. Mentor and coach IAM engineers and analysts, promoting engineering excellence, documentation discipline, and a culture of continuous learning and improvement. What You'll Bring 10+ years of experience in information security or infrastructure engineering, with at least 5 years of hands-on-keyboard experience with core IAM platforms. Deep expertise with the majority of our IAM stack Strong hands-on experience with Microsoft Entra ID and Active Directory as foundational directory services, and extensive experience implementing federation protocols (SAML, OIDC, OAuth2). Proven track record designing and implementing IAM solutions in hybrid multi-cloud environments, including the automation of provisioning, access reviews, and RBAC/ABAC models. Experience with secrets management solutions. Proficiency in at least one scripting or programming language (such as PowerShell, Python, or Java) to automate tasks and build custom connectors for our IAM tools. Excellent communication skills with the ability to translate complex technical concepts related to our IAM ecosystem for both technical and non-technical stakeholders. Exceptional sense of ownership and the ability to work with a limited set of requirements. Highly advanced ability to breakdown work to deliver value incrementally. Experience leading large-scale IAM programs. Prior responsibility as a technical lead or architect for IAM, including mentoring teams and influencing roadmaps beyond direct reporting lines. Demonstrated ability to balance security, usability, and operational efficiency, with a strong bias toward automation and measurable risk reduction. Define and lead the implementation of the organization's security strategy, with a focus on Cloud Security, Identity Access Management, and all other aspects of Cybersecurity Oversee the deployment of IAM solutions across both on-premise and cloud environments, ensuring they meet the highest standards of security. Lead the most complex security assessments, including threat modeling, red teaming, and cloud security reviews. Collaborate with executive leadership to ensure that security initiatives align with the organization's strategic goals and risk appetite. Act as the technical lead for large-scale security projects, coordinating cross-functional teams to ensure successful delivery. Architect and implement solutions across workforce IAM, PAM, and customer IAM ecosystems. Provide thought leadership in adopting passwordless authentication, passkeys, adaptive MFA, and AI-driven access orchestration strategies Engineer integrations with Agentic AI tools for intelligent decisioning, policy enforcement, and autonomous identity lifecycle operations. Develop and implement automated provisioning/deprovisioning workflows Ensure integration of IAM with cloud platforms (Azure, AWS, GCP) and SaaS applications. Mentor and develop the skills of senior security engineers, fostering a culture of continuous improvement and innovation. Technical Experience Must-Have: Privileged Access management (CyberArk) Authentication/AuthN (Okta) Federated Identity (EntraID) Cloud Identity (AWS, GCP, Azure) Automation (terraform, codex, claude) Application SSO (OIDC, SAML) Identity Governance (Sailpoint, Okta, Veza) Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures-and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. What You'll Do The Principal Site Reliability Engineer (SRE) is a senior technical leader responsible for shaping how reliability, automation, and operational excellence are engineered across the organisation. Operating across domains including traditional infrastructure, cloud engineering, network operations, identity, observability, security, AI-driven operations, and automated data workflows, the role focuses on designing scalable systems, reusable engineering patterns, and standardised controls that reduce operational toil, improve resilience, and embed reliability, governance, and compliance directly into delivery pipelines and operational platforms. This role will drive organisational change towards automation-first, measurable, and repeatable practices. A key part of the role is building and evolving reusable CI/CD and Terraform modules, engineering guardrails, observability patterns, and automation frameworks that can be adopted across multiple teams and domains without requiring each team to solve the same problems independently. The Principal SRE also plays an important enablement role beyond deeply technical teams, helping less technical areas of the business adopt structured, governed, and scalable ways of working. This includes translating complex engineering practices into practical standards, improving how governance is implemented through engineering controls rather than manual oversight, and driving operational maturity across a broad and diverse technology landscape. The ideal candidate is a systems thinker who understands how services, networks, identity, data flows, and operational processes fail in real-world conditions, and can apply that understanding to build automation-first, reliability-focused operating models that scale across both technical and non-technical functions. Key Responsibilities Cross-Domain Reliability Engineering Design and evolve reliability patterns across cloud, network, identity, and security domains. Identify systemic risks and failure modes across platforms and services, and define engineering solutions to mitigate them. Ensure operational activities are embedded into delivery models through automation, CI/CD integration, and event-driven workflows. Automation & Toil Reduction at Scale Lead the design of automation frameworks that eliminate manual operational tasks across multiple domains. Translate incident learnings and operational inefficiencies into scalable automation and preventative controls. Drive adoption of automation-first principles, reducing dependency on human-driven processes. Contribute to AI-driven operational use cases, including event correlation, anomaly detection, noise reduction, operational insights, and automated remediation. Ensure AIOps capabilities are grounded in reliable telemetry, clear control boundaries, and measurable operational outcomes. Observability & 24/7 Operational Excellence Define standards for telemetry, monitoring, alerting, and operational visibility across all critical systems. Ensure services are observable, measurable, and support proactive detection of issues. Improve operational readiness, incident response effectiveness, and time-to-recovery through engineering solutions. CI/CD & Platform Integration Contribute to the design of CI/CD patterns that embed reliability, security, and operational controls into pipelines. Ensure infrastructure, network, identity, and security configurations are managed through code and validated automatically. Support integration of platform services into delivery pipelines to enable consistent, repeatable deployments. Security & Identity Integration Contribute to secure-by-design patterns, including least privilege, identity-based access, and short-lived credentials. Support integration of security controls (e.g. secrets management, authentication, policy enforcement) into engineering workflows. Ensure security and compliance requirements are met through engineering controls rather than manual processes. Network & Infrastructure Reliability Support the design of resilient network architectures and segmentation aligned with Zero Trust principles. Ensure network configurations and controls are automated, validated, and observable. Contribute to infrastructure design patterns that improve availability, scalability, and fault tolerance. Design and improve operational patterns for network reliability, segmentation, visibility, and change validation. Support automation and standardisation of network controls and operational procedures to reduce manual intervention and configuration drift. Technical Leadership & Enablement Provide technical leadership across teams, influencing standards, architecture, and engineering practices. Mentor engineers on reliability engineering, automation, and systems thinking. Drive consistency through reusable patterns, frameworks, and documentation. Strategic Influence & Continuous Improvement Contribute to reliability engineering strategy and roadmap across the organisation. Communicate technical concepts, risks, and recommendations to senior stakeholders and leadership. Lead initiatives that improve reliability maturity, engineering efficiency, and operational scalability. Support less technical teams and functions in adopting structured, automated, and measurable operational practices. Act as a bridge between engineering capability and organisational change, helping scale good practice beyond core platform teams. Automated Data Workflows Design and improve automated data workflows that support operational reporting, observability, governance, and decision-making. Ensure operational data pipelines are reliable, timely, and aligned to engineering and business needs. Reusable Engineering Frameworks Build and evolve reusable modules, patterns, and frameworks for CI/CD, Terraform, and operational automation. Embed governance, validation, and reliability controls into these shared engineering assets by default. Governance by Engineering Translate governance requirements into practical engineering controls, automated checks, and repeatable standards. Help teams adopt compliant and supportable operating models without relying on manual policing or process-heavy interventions. What You'll Bring Required Qualifications 10+ years of experience in Site Reliability Engineering, Platform Engineering, or related fields. Strong hands-on experience across multiple domains, including: Cloud platforms (AWS, Azure) CI/CD and Infrastructure-as-Code (e.g. Terraform) Observability tools (e.g. Datadog, Splunk) Automation and scripting (e.g. Python) Experience designing and implementing scalable automation and reliability solutions. Deep understanding of distributed systems, failure modes, and resilience patterns. Experience integrating operational and security controls into engineering workflows. Strong stakeholder engagement and technical communication skills. Preferred Qualifications Experience with identity and access management systems (e.g. Entra ID, Vault). Experience with network architecture and security controls (e.g. firewalls, segmentation). Familiarity with Zero Trust principles and security engineering practices. Experience working in large, federated organisations with diverse technology stacks. Exposure to compliance and regulatory requirements (e.g. PCI, HIPAA, SOX). Additional info Hybrid or on-site work model. Operates as a senior individual contributor with broad cross-organisational influence. Expected to balance hands-on technical leadership with strategic direction. Occasional travel may be required for team or stakeholder engagement. Boston Consulting Group is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity / expression, national origin, disability, protected veteran status, or any other characteristic protected under national, provincial, or local law, where applicable, and those with criminal histories will be considered in a manner consistent with applicable state and local laws. BCG is an E - Verify Employer. Click here for more information on E-Verify.

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: London Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13117 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

AI Solution Architect - Senior Manager/Associate Director Capital Markets Location: Edinburgh Working pattern: Hybrid Salary: Compensation aligned to experience and seniority Ref: J13118 Senior AI Solution Architects are required to support the design, implementation and scaling of advanced AI solutions within financial services and capital markets environments. This role would suit an experienced professional with a strong background in AI, cloud and data architecture, with experience designing enterprise AI solutions and translating business requirements into scalable technical architectures. You will play a key role in shaping AI architecture strategy, leading technical teams and supporting organisations as they move from strategy and experimentation through to enterprise deployment. You will work closely with AI Engineers, Data Scientists, Enterprise Architects, MLOps teams, business stakeholders and senior leadership to design, deliver and scale AI solutions that drive measurable business outcomes. Key responsibilities: Translating business objectives into AI architecture strategies, roadmaps and scalable solution designs Designing and implementing end to end AI and ML architectures across enterprise environments Defining scalable, performant and cost optimised deployment patterns across cloud, containerised and GPU enabled environments Supporting AI implementation programmes from proof of concept through to enterprise deployment and optimisation Evaluating and selecting technologies across open source and commercial platforms Designing and integrating AI solutions into existing enterprise systems and applications Working with AI Engineers, Data Scientists and technical teams to support AI delivery and scaling initiatives Supporting AI governance, security, risk and regulatory considerations throughout the delivery lifecycle Supporting architecture governance, technical review boards and design authorities Building relationships with technical and business stakeholders across large scale transformation programmes Producing solution design documentation, implementation plans and technical proposals Providing technical leadership and mentoring within multidisciplinary teams Experience Required: Experience designing AI, ML or modern data architectures within enterprise environments Strong understanding of cloud platforms such as AWS, Azure, GCP, Databricks or similar technologies Experience architecting scalable AI and ML solutions across serverless, containerised or GPU enabled environments Experience with LLMs, prompt engineering, embeddings, semantic search and RAG patterns Exposure to vector databases and agent frameworks such as LangChain, LangGraph or similar technologies Understanding of MLOps, LLMOps and model lifecycle management principles Experience designing APIs and integrating AI solutions into enterprise environments Strong understanding of modern data architectures and platform design principles Experience presenting architectural designs to technical and business stakeholders Financial services experience within capital markets or broader banking environments This is a strong opportunity for an AI architecture professional who wants to work on high impact AI and data transformation programmes within complex financial services environments. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

IT Security Manager An exciting opportunity has arisen for an experienced, hands-on IT Security Manager to lead a small in-house security team and drive the ongoing evolution of a modern cyber security function. This role is ideal for a senior or lead Security Engineer ready to step into management, combining technical expertise with team leadership and strategic influence. Role The IT Security Manager will take ownership of the organisation's cyber security posture across systems, infrastructure, and cloud environments. Acting as a trusted advisor to senior stakeholders, the role blends hands-on technical involvement with leadership and strategic oversight. Key Responsibilities Lead, mentor, and develop a high-performing cyber security team Own and deliver the IT security strategy, policies, and best practices Oversee day-to-day security operations (SIEM, EDR, incident response, vulnerability management) Ensure compliance with frameworks such as ISO 27001, NIST, CIS Controls and GDPR Manage risk assessments, remediation planning, and continuous improvement initiatives Secure cloud and hybrid environments ( Azure/AWS ) Act as the escalation point for complex security incidents and threats Collaborate with engineering and infrastructure teams to embed Secure by Design principles Manage third-party security vendors and services Lead audits, compliance activities, and incident response planning Drive security awareness and foster a strong security culture across the business Key Skills & Experience Proven experience in a cyber security leadership or senior-level role Strong hands-on background in security operations and engineering Experience with tools such as SIEM (Splunk), EDR, and vulnerability scanning platforms Solid understanding of cloud security (Azure, AWS) and enterprise IT environments Knowledge of identity & access management (IAM, MFA, RBAC, PAM) Experience with risk management and ISO 27001 compliance Understanding of incident response, threat detection, and DevSecOps practices Excellent communication skills with the ability to translate technical risk into business terms Desirable Certifications such as CISSP, CISM, CCSP, CRISC or CEH Cloud certifications (AZ-500, AWS Security Specialty) Exposure to Splunk ES

About us Iken is an independent software company based in central Bristol. We have an excellent reputation for both our efficiency and productivity boosting products and our approach to client care. The Iken team is made up of people who aspire to high performance and continuous improvement of themselves and the business - and that's what we're looking for from you. Our company values are at the heart of what all our employees do, and we want to work with people with whom these values resonate. Within your role you will be expected to work inter-dependently, taking responsibility for your own success and that of the company - whilst being part of a high challenge and high support company culture with a busy social life and corporate social responsibility agenda. About the role As a Web Developer at Iken, you'll be part of a multidisciplinary delivery team responsible for developing and enhancing our knowledge management application. Working within an Agile environment, you'll collaborate closely with the wider Delivery team to design, build and maintain high-quality software solutions. You'll contribute throughout the development lifecycle, from shaping technical solutions and planning through to implementation, testing, deployment and ongoing improvement. You will work across a modern Microsoft technology stack, building scalable web applications, APIs and services while helping to influence how we design, develop, and deliver our products. We encourage developers to explore new technologies, including AI-assisted development tools and automation, where they can deliver genuine value for our customers and teams. Key Responsibilities Working under the guidance of the Team Leader and Senior Developers to contribute to the production of specifications for strategic projects and new features to Iken's knowledge management and case management software Actively contributing to sprint planning by defining tasks need to implement features and scope tasks to ensure achievable sprint goals Delivering quality code to agreed coding standards, according to specifications and ready for the test team to test Demonstrating delivered functional or non-functional capabilities to the wider company and responding to queries Ensuring the architecture of the application is appropriate, deployment pipelines and build automation is functioning and non-functional requirements are met Keeping up to date with developments in software engineering practices, including AI-assisted development tools and automation techniques, to improve quality, productivity and delivery outcomes. Evaluate and responsibly utilise AI-assisted development tools where appropriate to improve development efficiency, code quality, testing and documentation. Contribute to scoping and planning of all development work as required Deliver stable, quality code to meet functional and non-functional requirements Maintain coding standards and best practice - in areas including source control, documentation and unit testing where appropriate Actively participate in daily scrums and other sprint meetings Proactively investigate and resolve bugs to maintain a stable codebase. This may include identifying and implementing work arounds as well as long term fixes. Support other team members, including participating in peer reviews Share good practice, technical knowledge and product knowledge to the wider delivery team, including developers, testers and product. What we're looking for: Proficient in: C#, JavaScript (including NodeJS), SQL Knowledge of Angular framework incl. the development of Angular applications Experience in developing and maintaining accessible, reusable front end web sites/applications in CSS, HTML, JavaScript, to meet WCAG AA requirements ASP.Net core (C#) including building and maintaining websites/ microservices / RESTful APIs Exposure to API development and integration, including Google & Microsoft Cloud APIs Knowledge of developing within the Microsoft Azure stack Experience in an Agile SCRUM environment incl. iterative development, design reviews, example mapping, peer/code reviews and unit testing Proficient in use of development tools including Azure DevOps, the Visual Studio suite, GIT Experience with authentication and security, including OAuth, JSON Web Tokens Experience of threading, async and task handling Optional/Desirable Experience using AI-assisted development tools such as GitHub Copilot, Claude Code, Codex, Cursor or similar tools as part of a professional software development workflow. Understanding of the opportunities of generative AI in software development, and the requirements for maximising the benefit Exposure to integrating AI-powered services, LLMs or agent-based workflows into web applications. What you'll get: Flexible and hybrid working arrangements 24 days annual leave (excl. Bank holidays), increasing each year of service Health and Wellbeing platform Cycle to Work scheme 6% Employer Contribution Pension

Senior Engineer - .NET / Angular Engineer Bedfordshire - Hybrid - 2 days in Office per week 60k - 80k plus Benefit Permanent role The opportunity: Our client are reshaping the way their industry is run. They have been building a new agile tech platform to make their industry run easier to administer, more responsive to change, and more customer-centric. As they grow their in-house team, they are looking for a senior level software engineer who wants to help us take ownership of our core systems and deliver high-quality software that makes a real impact. This is a brilliant time to join. They have moved away from an outsourced model and established our own internal engineering capability. You'll join the founding team working alongside our Head of Software Engineering and Lead Engineer. There's huge scope to influence how things are built and how we work together. The tech you'll work with: C# and .NET Core Angular for front-end SQL Databases Azure Cloud Power Platform & Dynamics They don't expect you to be an expert in everything, but expect this role to be more front-end focused with Angular and C#. If you're also curious about back-end and Power Platform, there's a place for you. What you'll be doing: Depending on your level and interests, you could: Build and maintain modern .NET web applications with Angular front ends Collaborate with product managers, designers and data experts to build genuinely useful features Contribute to improving code quality through testing, reviews and CI/CD Help ensure smooth data flow between our portal and Power Platform systems Share your knowledge with others, whether that's mentoring junior devs or learning from others We'd love to hear from you if you: Have strong experience in C#/.NET (and ideally Angular) Enjoy solving problems and working with others to build great products Are curious about the full stack, even if you have a sweet spot Understand the value of agile delivery, testing, and clean code Communicate clearly, especially with non-tech stakeholders Bonus points for: Knowledge of Power Platform or Dynamics 365 Experience with Azure DevOps, CI/CD, trunk-based development Awareness of security best practices Where and how you'll work: Hybrid: We aim for 2 days a week in the office (Sharnbrook, Bedfordshire), 3 days from home Right to work in the UK is required. We're not able to sponsor at this time Why join us now? They are a small team backed by major industry players in their field. You'll work closely with decision-makers and help shape how we scale. They value people who are proactive and team-first. You won't just be writing code; you'll be helping build a culture and essential product that thousands of people will use every day. If that excites you, we'd love to chat. INDIT Planet Recruitment acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers. Planet Recruitment is an Equal Opportunities Employer. By applying for this role your details will be submitted to Planet Recruitment. Our Candidate Privacy Information Statement explains how we will use your information. Only candidates with the relevant skills and experience will be contacted after application, if you do not hear back from us within 7 days you have unfortunately been unsuccessful in your application. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and abilities to perform the duties of the position.

3rd Line Support Engineer - 40,000- 50,000 We're partnering with a well established organisation in Hampshire that is looking for a 3rd Line Support Engineer to join their internal IT team. This role will suit someone who enjoys a mix of BAU support and project work, with a strong focus on infrastructure and cloud technologies. Responsibilities : Acting as an escalation point for complex technical issues Managing and maintaining servers, networks, and cloud platforms Leading on small to medium IT projects Supporting Azure and Microsoft 365 environments Improving systems, performance, and security Tech environment: Azure / Office 365 Windows Server (2016/2019/2022) Virtualisation (VMware / Hyper-V) Networking (firewalls, switches, VPNs) Backup & disaster recovery solutions What we're looking for: 4+ years' experience in IT support/infrastructure Strong all-round technical knowledge Experience with cloud platforms (Azure preferred) Ability to take ownership of technical issues and projects Package: 40,000- 50,000 Hybrid working (2-3 days from home) Bonus scheme 25-28 days holiday Training and certification support Clear progression into infrastructure/cloud roles If this role isn't quite right, but you're working in IT Support and open to new opportunities, feel free to apply or get in touch. INDAV

Senior Cloud Engineer / Azure / DevOps / Cloud / Cardiff / Hybrid / Permanent Vivo Talent is working with an organisation who have been growing rapidly over the last 9-months and are now looking for a Senior Cloud Engineer to join their team delivering a large-scale Azure transformation. This is an excellent opportunity for a hands-on Azure specialist who thrives on designing, building and modernising cloud environments. You'll play a key role in helping organisation re-platform and re-provision critical infrastructure while driving cloud adoption through automation, DevOps practices and Infrastructure as Code. What You'll Be Doing Designing, implementing and optimising Azure cloud infrastructure. Leading cloud migration, re-platforming and re-provisioning initiatives. Building and maintaining Infrastructure as Code using Bicep and/or Terraform. Developing and improving Azure DevOps CI/CD pipelines. Supporting containerisation strategies using Docker and Kubernetes technologies. Automating deployment processes and operational workflows. Essential Skills & Experience Strong hands-on experience with Microsoft Azure. Experience building and managing Azure DevOps pipelines. Strong Infrastructure as Code experience using Bicep and/or Terraform. Experience with containerisation technologies such as Docker and Kubernetes. Strong automation and scripting skills. If you're an Azure specialist with a passion for cloud engineering, automation and modern platform technologies, we'd love to hear from you. Senior Cloud Engineer / Azure / DevOps / Cloud / Cardiff / Hybrid / Permanent Senior Cloud Engineer / Azure / DevOps / Cloud / Cardiff / Hybrid / Permanent Senior Cloud Engineer / Azure / DevOps / Cloud / Cardiff / Hybrid / Permanent

Senior Data Engineer (Contract) Duration: 6 Months (Possibility for extension) Location: London/Hybrid (3 days per week on site) Rate: A highly competitive Umbrella Day Rate is available for suitable candidates Role Profile We are seeking a highly skilled Senior Data Engineer with strong expertise in Python and Databricks to design, build, and optimise scalable data pipelines and platforms. You will play a key role in enabling data-driven decision-making by delivering reliable, efficient, and high-quality data solutions. Key Responsibilities Design, develop, and maintain scalable data pipelines using Python and Databricks Build and optimise ETL/ELT workflows leveraging Databricks (Spark, Delta Lake) Develop robust data models and data architectures on Lakehouse platforms Implement and manage data workflows within the Databricks ecosystem Ensure high data quality, governance, and reliability across pipelines Optimise performance of large-scale distributed data processing Collaborate with data scientists and analysts to support analytics and ML Implement monitoring, logging, and alerting for data systems Mentor junior engineers and drive engineering best practices Skills & Experience Extensive experience in data engineering Strong programming expertise in Python Hands-on experience with Databricks (workflows, notebooks, jobs, Delta Lake) Strong experience with Apache Spark / PySpark Experience building scalable ETL pipelines Proficiency in SQL and relational databases Experience with cloud platforms (AWS / Azure / GCP) Experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) Familiarity with orchestration tools (e.g., Airflow, Databricks Workflows) Strong understanding of data modelling and lakehouse architecture Databricks certifications (e.g., Databricks Certified Data Engineer) Experience with streaming data pipelines (Kafka, Structured Streaming) Experience with CI/CD and DevOps practices Knowledge of Delta Lake features (time travel, CDC, optimisation) Experience with containerisation (Docker, Kubernetes) Exposure to ML pipelines on Databricks Candidates will need to show evidence of the above in their CV in order to be considered. If you feel you have the skills and experience and want to hear more about this role 'apply now' to declare your interest in this opportunity with our client. Your application will be observed by our dedicated team. We will respond to all successful applicants ASAP however, please be advised that we will always look to contact you further from this time should we need further applicants or if other opportunities arise relevant to your skillset. Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. As part of our standard hiring process to manage risk, please note background screening checks will be conducted on all hires before commencing employment. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.