17 jobs found

Overview Solus, part of the Aviva family, is growing our Technology capability and we're looking for a talented Performance and Monitoring Engineer to help us strengthen the stability, reliability and performance of our systems. If you're passionate about monitoring, observability and using data to proactively improve service health, this is a great opportunity to make a real impact across a large, modern technology estate. Responsibilities You'll be our subject matter expert for monitoring and performance, responsible for designing, implementing and maintaining the tools and dashboards that give us real-time visibility of our infrastructure, applications and cloud services. Your focus will include: Owning and optimising platforms such as LogicMonitor, Azure Monitor, App Insights and Log Analytics Building meaningful dashboards, alerts, telemetry pipelines and performance insights Identifying risks, trends and early indicators to prevent incidents before they happen Carrying out deep-dive investigations into performance issues and recommending improvements Working with Platform, Operations, Security and Product teams to ensure systems are reliable, available and scalable Automating responses and integrations to improve speed, accuracy and consistency Supporting major changes, deployments and post-incident reviews with data-driven evidence Qualifications Strong experience with monitoring and observability tools (LogicMonitor, Azure Monitor, App Insights, Log Analytics, Defender for Cloud) Excellent understanding of cloud performance, IaaS/PaaS, networking fundamentals, API performance and capacity modelling Skilled in dashboards, log queries (KQL), custom metrics and performance analysis Ability to diagnose complex issues across infrastructure, networks, applications or databases Confident scripting and automation skills (PowerShell, Azure Automation, Graph API) Clear communicator who can simplify technical detail for both technical and non-technical teams Desirable qualifications Microsoft certifications (AZ-900, AZ-104, AZ-305, AZ-500) or similar Experience with LogicMonitor admin, Grafana or other observability tools Familiarity with SRE concepts (SLIs, SLOs, error budgets) Understanding of ITIL processes Who are Solus? Solus, who are owned by Aviva, are one of the UK leaders in vehicle repairs, returning cars to the road in just 11 days on average and a 4.6/5 star customer rating. With an award-winning apprenticeship programme and winners of other recognised industry awards Solus are proud to be shaping the future of vehicle repair. Why Join Solus? We have so much to offer when it comes to being a Solus colleague: Competitive salary based on location, skills, experience, and qualifications. Bonus opportunity tied to your performance and the overall success of Solus. Company pension scheme with employer contributions. 33 days' holiday (including bank holidays), with the option to buy or sell up to 5 days. Save money with up to 40% discount on Aviva products and other retailer discounts. Share in Aviva's success through the Aviva Save As You Earn scheme. Supportive policies including parental and carer's leave. Wellbeing focus with tools like Group Income Protection and 24/7 GP access. At Solus, we value inclusivity and welcome all applicants. If you're excited but don't tick every box, we encourage you to apply-your unique skills might be just what we need. We guarantee an interview for disabled applicants meeting the minimum criteria-just email us after applying to let us know. Ready to join us? Apply online today, and our team will be in touch within 14 days.

Senior Full Stack Developer 12-Month Fixed-Term Contract | Hybrid Working (2 Days per Week in London) Salary £54,000 - £61,000 pa plus generous pension and holidays A prestigious client is seeking an experienced Senior Full Stack Developer to join a high-performing technology team delivering innovative AI and automation solutions at scale. This is an exciting opportunity to work on a modern, cloud-native platform using cutting-edge technologies across Back End services, integrations, and user-facing applications. You'll play a key role in shaping engineering standards, influencing technical direction, and delivering high-quality software within a collaborative Agile environment. The Role As a Senior Full Stack Developer, you will focus primarily on Back End engineering using Go , while also contributing to modern React-based Front End applications. You'll work closely with developers, architects, and product teams to build scalable, secure, and observable solutions deployed through Kubernetes-based infrastructure. This is a hands-on senior engineering role ideal for someone who enjoys solving complex technical challenges, mentoring others, and driving best practice across software delivery. Key Responsibilities Design, develop and maintain scalable Back End services in Go Build modern Front End applications using React Develop APIs, integrations and event-driven services Contribute to CI/CD pipelines and cloud-native deployments Review code and champion engineering best practices Improve application performance, observability and reliability Collaborate within Agile delivery teams across multiple projects Support technical decision-making and continuous improvement Skills & Experience We are looking for candidates with strong commercial experience in: Go/Golang Back End development Full stack software engineering within Agile environments REST APIs, integrations and distributed systems React and modern Front End development CI/CD, Git and cloud-based delivery practices Docker and Kubernetes Code reviews, testing and engineering governance Experience with any of the following would be highly advantageous: Microsoft Azure Python GitOps tooling (Argo CD/Flux) Observability tooling (Prometheus, Grafana, OpenTelemetry) AI/LLM-enabled applications Event-driven architectures and messaging platforms What's on Offer Opportunity to work on cutting-edge AI and cloud-native technologies Hybrid working model with flexibility Collaborative, forward-thinking engineering environment High-profile programme of work with real organisational impact £54,000 - £61,000 salary and benefits package If you are a passionate senior engineer looking for your next challenge within a modern technology environment, we would love to hear from you. Please send your CV to Laura at (see below) Services advertised are those of an employment agency.

AI Application/Big Data Engineer 6-Month contract - Inside IR35 - market rate London based - hybrid working - up to 3 days a week onsite Finance sector - must have previous experience Role Overview Senior AI / Data Engineer responsible for designing, building, and optimizing AI-driven data pipelines and integrations to enable a QAS-powered response suggestion capability embedded in Salesforce Service Cloud. The role focuses on scalable data processing, LLM integration, and continuous model improvement using production telemetry. Responsibilities Design and implement Salesforce QAS integration architecture Build and optimize data pipelines supporting AI inference and feedback loops Develop backend services / APIs enabling response suggestion workflows Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings Enable continuous model tuning via: telemetry data quality scoring usage analytics Work with structured and unstructured data sources: Microsoft Graph (SharePoint / Teams) Implement asynchronous processing pipelines (SQS, EventBridge) Ensure data reliability, scalability, and performance Contribute to: design documentation runbooks technical decision-making Support: SIT/UAT phases production readiness hypercare and rollout to additional entities Required Experience & Skills Core 5-10 years of experience in Data Engineering / AI Engineering Strong experience in: Python / JVM-based backend development REST APIs / microservices Experience with cloud-native architectures on AWS Data & AI Hands-on with: Amazon Bedrock (or equivalent LLM platforms) data pipelines (batch + streaming) embeddings / retrieval architectures Experience using: Snowflake (data platform integration, CDC concepts) PostgreSQL (RDS) AWS Stack S3, RDS, SQS, EventBridge Containerized workloads (EKS/ECS) Engineering Practices Strong understanding of: distributed systems performance optimization observability (e.g. Langfuse, logging/metrics) Nice-to-Have Experience with: Salesforce Service Cloud integrations NLP / GenAI applications in customer service Exposure to: Amplitude or product analytics tools Knowledge of regulated environments (banking / capital markets) Soft Skills Ability to work in cross-functional distributed teams Strong ownership mindset (design production) Clear communication with business and technical stakeholders 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.

About This Role We are looking for an experienced contractor to support the design, delivery, and operation of enterprise cloud-native services. The role will focus on Kubernetes-based platforms running on Microsoft Azure, including service mesh, application deployment, observability, security, and production support. Key responsibilities: Build, configure, and support Kubernetes environments on Azure, including AKS. Deploy and manage Spring Boot applications in containerized environments. Work with Istio or similar service mesh technologies for traffic management, security, and observability. Support CI/CD pipelines and infrastructure-as-code practices. Troubleshoot platform, networking, deployment, and application runtime issues. Collaborate with enterprise architecture, security, and operations teams to meet governance and compliance requirements. Contribute to documentation, operational runbooks, and knowledge transfer. Required experience: Strong hands-on experience with Kubernetes and Azure cloud services. Experience with Istio, ingress, service discovery, and cloud-native networking. Good understanding of Spring Boot application deployment and runtime considerations. Familiarity with enterprise IT environments, including change control, security standards, incident management, and stakeholder governance. Experience with CI/CD tooling, container registries, monitoring, logging, and secrets management. Ability to work independently and communicate effectively with both technical and non-technical stakeholders. Desirable experience: Terraform, Helm, GitOps, Azure DevOps, or GitHub Actions. Observability tools such as Prometheus, Grafana, OpenTelemetry, or Azure Monitor. Financial services or other regulated enterprise environments.

Integration Developer 12-Month FTC Hybrid - 2 Days per Week in London A prestigious London-based organisation is seeking an experienced Integration Developer to join a modern engineering team delivering enterprise-scale, event-driven integration platforms. This is an exciting opportunity to work with cutting-edge integration and streaming technologies within a complex environment undergoing significant digital transformation. This hands-on backend role focuses on designing, building, and maintaining integrations across enterprise and SaaS systems using modern cloud-native and streaming technologies. Key Responsibilities Develop event-driven integrations and backend services Build connectors, event-processing services, and data pipelines Design scalable integration patterns, schemas, and event flows Develop CDC pipelines and resilient messaging solutions Improve observability through logging, metrics, and tracing Deploy containerised services using Docker and Kubernetes Contribute to architecture, code reviews, and engineering standards Collaborate with developers, data engineers, and stakeholders Technology Stack Kafka / Redpanda Docker & Kubernetes Microsoft Azure REST APIs & webhooks CI/CD & Infrastructure as Code OpenTelemetry, Prometheus & Grafana Required Skills Strong software engineering background Experience building integration or event-driven platforms Kafka, Redpanda, or similar streaming technologies Enterprise system integrations and API design Agile development experience Strong communication and collaboration skills Desirable Skills Go and/or Python CDC pipeline development Azure cloud experience Observability tooling (Prometheus, Grafana, OpenTelemetry) Experience within regulated environments What's on Offer Hybrid working - 2 days per week in London Salary up to 60,900 Generous pension and holiday allowance Flexible working environment Modern cloud-native technology stack To progress matters. Please send your CV to Laura at (url removed). Services advertised are those of an Employment Agency.

Adecco 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. Are you passionate about transforming enterprise data into meaningful insights? Do you thrive in innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 Months (extension options) Location: Fully Remote Rate: Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/or RDF/OWL) to meet semantic and inference requirements. Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Ontology Engineering & Reasoning: Create and maintain formal ontologies and taxonomies while governing their versioning and lifecycle. Implement logical inference for agent decision-making and ensure workflow integrity. Establish standards for semantic consistency and data quality checks. Hybrid Semantic Layer (Graph + Logic): Design a hybrid semantic layer that combines graph context with business logic for enhanced search and knowledge contextualization. Model RACI/RBAC as graph edges/nodes, embedding compliance rules for auditability. APIs, Patterns & Collaboration: Define clean API layers for semantic enrichment and retrieval; deliver reference implementations. Collaborate with platform engineers for agent connectivity and tool discovery patterns. Partner with data, platform, and security teams for governance and observability. Quality, Performance & Governance: Set performance budgets to ensure efficient query execution and prevent issues. Establish lineage and governance artefacts like semantic catalogues and audit trails. Document standards and mentor engineers in adopting graph and semantic patterns. What You Bring: A bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, or a related field. 7-12 years of experience in graph databases, semantic modelling, and ontology engineering. Expertise in query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp of RBAC/RACI, data governance, lineage, and security controls. Ability to design clean APIs for semantic enrichment and retrieval. Familiarity with AWS services (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Preferred Qualifications: Experience with ontology tooling (Prot g , SHACL/SWRL) and reasoning engines. Prior delivery of enterprise knowledge graphs supporting workflows and audit trails. Exposure to vector retrieval and how graph context informs data re-ranking. Knowledge of observability tools like OpenTelemetry, Prometheus, and Grafana. Why Join Us? This is your opportunity to be at the forefront of data innovation in the energy sector! If you are eager to make a significant impact and collaborate with talented professionals, we want to hear from you! Apply now and embark on a journey to redefine how data drives decision-making in our client's organisation. Let's build a smarter future together! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. Join our client and help shape the future of data engineering! We can't wait to welcome you aboard! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. 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.

Adecco 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. Are you passionate about transforming enterprise data into meaningful insights? Do you thrive in innovative environments where you can shape the future of data architecture? If so, our client is looking for you! Join us as a Semantic Graph & Ontology Architect and play a pivotal role in developing a Smart Data Fabric that unifies various data sources like Snowflake, SharePoint, and ERP systems, all while enhancing AI capabilities through a sophisticated semantic, graph-native foundation. Role: Semantic Graph & Ontology Architect Duration: 6 months (extension options) Location: Fully Remote Rate: £ Competitive (outside ir35) How You'll Make an Impact: As a hands-on leader, you will: Graph & Semantic Architecture: Design scalable graph schemas (LPG and/or RDF/OWL) to meet semantic and inference requirements. Author and optimise queries using Cypher, Gremlin, and SPARQL for seamless data traversal and reasoning. Define canonical entity models and mapping layers to integrate diverse data sources. Ontology Engineering & Reasoning: Create and maintain formal ontologies and taxonomies while governing their versioning and life cycle. Implement logical inference for agent decision-making and ensure workflow integrity. Establish standards for semantic consistency and data quality checks. Hybrid Semantic Layer (Graph + Logic): Design a hybrid semantic layer that combines graph context with business logic for enhanced search and knowledge contextualization. Model RACI/RBAC as graph edges/nodes, embedding compliance rules for auditability. APIs, Patterns & Collaboration: Define clean API layers for semantic enrichment and retrieval; deliver reference implementations. Collaborate with platform engineers for agent connectivity and tool discovery patterns. Partner with data, platform, and security teams for governance and observability. Quality, Performance & Governance: Set performance budgets to ensure efficient query execution and prevent issues. Establish lineage and governance artefacts like semantic catalogues and audit trails. Document standards and mentor engineers in adopting graph and semantic patterns. What You Bring: A bachelor's or master's degree in computer science, Data Science, Mathematics, Engineering, or a related field. 7-12 years of experience in graph databases, semantic modelling, and ontology engineering. Expertise in query languages like Cypher, Gremlin, and SPARQL, with a strong understanding of LPG vs RDF/OWL tradeoffs. Hands-on experience with Neo4j, AWS Neptune, TigerGraph, or Stardog in a production environment. Proficiency in mapping enterprise data (Snowflake, MongoDB, SharePoint, ERP) into graph and ontology layers. A solid grasp of RBAC/RACI, data governance, lineage, and security controls. Ability to design clean APIs for semantic enrichment and retrieval. Familiarity with AWS services (IAM, VPC, S3, EKS/ECS/Lambda) in collaboration with platform teams. Preferred Qualifications: Experience with ontology tooling (Protégé, SHACL/SWRL) and reasoning engines. Prior delivery of enterprise knowledge graphs supporting workflows and audit trails. Exposure to vector retrieval and how graph context informs data re-ranking. Knowledge of observability tools like OpenTelemetry, Prometheus, and Grafana. Why Join Us? This is your opportunity to be at the forefront of data innovation in the energy sector! If you are eager to make a significant impact and collaborate with talented professionals, we want to hear from you! Apply now and embark on a journey to redefine how data drives decision-making in our client's organisation. Let's build a smarter future together! How to Apply: If you're excited about this opportunity and believe you're a great fit, please answer screening questions during application and submit your CV. Join our client and help shape the future of data engineering! We can't wait to welcome you aboard! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. 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.

Telemetry and Observability Engineer (Inside IR-35) London / Hybrid (3 days on-site) I'm working with a global organisation building next-generation cloud-native and observability platforms at enterprise scale, and they're looking for a strong Senior Observability Engineer to join the team. This is a high-impact role focused on scalable telemetry pipelines, monitoring, alerting, reliability engineering, and embedding observability across complex distributed systems and Kubernetes environments. Key experience needed: Observability / SRE / Platform Engineering background OpenTelemetry , Prometheus, Grafana, Splunk, Elastic, Loki, or Jaeger Kubernetes, microservices, and cloud-native platforms Python, Go, or Java Terraform, Helm, and IaC SLIs, SLOs, alerting, and reliability engineering Financial services or regulated environment experience is a bonus. Great opportunity to work with cutting-edge technology, influence engineering standards, and help shape observability at enterprise scale. Interested? Drop me a message or send over your CV. Oscar Associates (UK) Limited is acting as an Employment Business in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Platform Engineer 12-Month Fixed-Term Contract Hybrid Working (2 Days per Week in London) salary 54,000- 60900pa A prestigious client seeks an experienced Platform Engineer to join a high-impact engineering team delivering a modern cloud-native platform that underpins AI and automation services across a large-scale enterprise environment. An exciting opportunity working on a greenfield Kubernetes platform built using modern engineering practices across Azure, GitOps, service mesh, observability and event-driven architecture. The Role You will be responsible for building, operating and improving a shared Kubernetes platform used by application, AI and integration engineering teams. Hands-on role covering infrastructure as code, Kubernetes operations, CI/CD, networking, observability and platform reliability. Working closely with architects and engineering teams shaping the future of the platform while helping maintain high standards across automation, security, scalability and operational excellence. Key Responsibilities Build and operate Azure Kubernetes Service (AKS) environments Manage cloud infrastructure using Terraform and ARM Templates Support GitOps-based CI/CD and deployment pipelines Operate observability tooling including Grafana and OpenTelemetry Maintain platform networking, service mesh and API gateway layers Support event streaming infrastructure and platform reliability Participate in incident response and platform operations Contribute to platform engineering standards and best practices Skills & Experience Candidates to have strong experience across: Kubernetes platform engineering and cloud-native infrastructure Microsoft Azure and Azure Kubernetes Service (AKS) Terraform and Infrastructure as Code Docker, CI/CD and GitOps workflows Linux, Bash scripting and platform automation Observability tooling including Grafana and Prometheus Kubernetes networking, security and service mesh technologies Experience with the following would be highly beneficial: Cilium Istio / Service Mesh ArgoCD or Flux OpenTelemetry Kafka or Redpanda Python automation tooling Policy as Code / Kubernetes security tooling To progress matters please send your CV Laura at (url removed) Services advertised are those of an agency.

6-Month Fixed-Term Contract Remote 75,000 pro rata We are partnering with a leading network infrastructure provider undergoing a significant fibre network expansion programme and are seeking an experienced Network Monitoring Engineer to support the successful delivery of this initiative. This is a hands-on engineering role where you'll be responsible for designing, implementing, and commissioning monitoring and observability solutions across newly deployed fibre infrastructure and network equipment. Working closely with Network Operations and Core Network teams, you'll ensure full visibility of critical services from day one through modern monitoring technologies, streaming telemetry, and AI-driven analytics. Key Responsibilities Monitoring & Observability Design and implement end-to-end monitoring solutions across new fibre infrastructure deployments. Build and maintain streaming telemetry pipelines to provide real-time network visibility. Configure, optimise, and manage VictoriaMetrics environments, including ingestion, retention, and performance tuning. Deploy and support Nagios-based monitoring solutions, alerting workflows, and service health checks. Implement AI-driven analytics and anomaly detection capabilities to improve fault identification and operational efficiency. Develop and maintain Grafana dashboards and visualisation platforms to provide actionable operational insights. Network Infrastructure & Engineering Commission monitoring solutions across fibre nodes, OLTs, and Layer 1-3 network devices. Work collaboratively with Core Network teams to ensure monitoring aligns with evolving network architecture. Establish baseline performance metrics and SLA-driven alerting thresholds. Continuously improve monitoring platforms, tooling, and operational processes. Documentation & Knowledge Transfer Produce high-quality technical documentation and operational procedures. Create runbooks, escalation processes, and support documentation. Facilitate knowledge transfer to Network Operations and Engineering teams. Provide regular project updates and contribute to project reviews and planning activities. Required Experience & Skills Proven experience in a senior Network Monitoring or Network Engineering position within an ISP, managed services, telecommunications, or large-scale infrastructure environment. Strong hands-on experience with VictoriaMetrics in production environments. Solid experience configuring and administering Nagios monitoring platforms. Practical experience with streaming telemetry technologies including gNMI, gRPC, Telegraf, and gNMIc. Exposure to AI/ML-driven monitoring, analytics, or anomaly detection solutions. Strong understanding of networking fundamentals including TCP/IP, BGP, OSPF, VLANs, and optical networking technologies. Ability to work autonomously and deliver against project deadlines and milestones. Excellent documentation, communication, and stakeholder management skills. Strong attention to detail with a focus on reliability, resilience, and operational excellence. Desirable Skills Experience supporting FTTH or dark fibre network deployments. Scripting and automation experience, ideally using Python. Familiarity with Grafana, Prometheus, or similar observability platforms. Knowledge of SNMP, NetFlow/IPFIX, and syslog-based monitoring environments. What's on Offer Opportunity to play a key role in a major network infrastructure programme. Exposure to modern observability, telemetry, and AI-driven monitoring technologies. Collaborative engineering environment with significant project ownership. Competitive contract package and immediate project impact. Modis International Ltd acts as an employment agency for permanent recruitment and an employment business for the supply of temporary workers in the UK. Modis Europe Ltd provide a variety of international solutions that connect clients to the best talent in the world. For all positions based in Switzerland, Modis Europe Ltd works with its licensed Swiss partner Accurity GmbH to ensure that candidate applications are handled in accordance with Swiss law. Both Modis International Ltd and Modis Europe Ltd are Equal Opportunities Employers. By applying for this role your details will be submitted to Modis International Ltd and/ or Modis Europe Ltd. Our Candidate Privacy Information Statement which explains how we will use your information is available on the Modis website.

Senior Full Stack Developer 12-Month Fixed-Term Contract Hybrid Working (2 Days per Week in London) Salary 54,000 - 61,000 pa plus generous pension and holidays A prestigious client is seeking an experienced Senior Full Stack Developer to join a high-performing technology team delivering innovative AI and automation solutions at scale. This is an exciting opportunity to work on a modern, cloud-native platform using cutting-edge technologies across backend services, integrations, and user-facing applications. You'll play a key role in shaping engineering standards, influencing technical direction, and delivering high-quality software within a collaborative Agile environment. The Role As a Senior Full Stack Developer, you will focus primarily on backend engineering using Go , while also contributing to modern React-based frontend applications. You'll work closely with developers, architects, and product teams to build scalable, secure, and observable solutions deployed through Kubernetes-based infrastructure. This is a hands-on senior engineering role ideal for someone who enjoys solving complex technical challenges, mentoring others, and driving best practice across software delivery. Key Responsibilities Design, develop and maintain scalable backend services in Go Build modern frontend applications using React Develop APIs, integrations and event-driven services Contribute to CI/CD pipelines and cloud-native deployments Review code and champion engineering best practices Improve application performance, observability and reliability Collaborate within Agile delivery teams across multiple projects Support technical decision-making and continuous improvement Skills & Experience We are looking for candidates with strong commercial experience in: Go / Golang backend development Full stack software engineering within Agile environments REST APIs, integrations and distributed systems React and modern frontend development CI/CD, Git and cloud-based delivery practices Docker and Kubernetes Code reviews, testing and engineering governance Experience with any of the following would be highly advantageous: Microsoft Azure Python GitOps tooling (Argo CD / Flux) Observability tooling (Prometheus, Grafana, OpenTelemetry) AI/LLM-enabled applications Event-driven architectures and messaging platforms What's on Offer Opportunity to work on cutting-edge AI and cloud-native technologies Hybrid working model with flexibility Collaborative, forward-thinking engineering environment High-profile programme of work with real organisational impact 54,000 - 61,000 salary and benefits package If you are a passionate senior engineer looking for your next challenge within a modern technology environment, we would love to hear from you. Please send your CV to Laura at (url removed) Services advertised are those of an employment agency.

NMS Recruit are seeking an experienced Embedded Systems Help Desk Engineer to join global energy consultancy based in the Cheshire. This is an exciting opportunity to join a rapidly growing business. You will be required to work 50/50 split between site and home and sponsorship is available. This is an exciting opportunity for a talented Embedded Systems Reliability Engineer with proficiency in modern C++ (C+ or newer).Responsibilities Investigate and resolve complex bugs across embedded and desktop systems, implementing fixes and systemic quality improvements Develop and maintain tools for automated testing, diagnostics and release validation using Python and Bash Enhance and maintain CI/CD pipelines for embedded firmware (Buildroot/make) and desktop applications (CMake/Qt), integrating quality gates and static analysis Define, monitor and drive improvements against key reliability metrics (e.g. crash frequency, memory stability, startup success) Improve diagnostic visibility through structured logging, crash data capture and telemetry via MQTT Collaborate with hardware, software and test engineers to embed quality and reliability throughout the development lifecycle Experience Degree in Software Engineering, Computer Science, Electronics or equivalent working experience Proficiency in modern C++ (C+ or newer) for embedded and cross-platform desktop development Strong scripting experience in Python and Bash for tooling and test automation Experience with CMake, make, and CI/CD systems (e.g., GitLab CI, Azure Pipelines) Familiarity with Docker for embedded software builds and containerised testing Confident in debugging across firmware, OS and application layers Deep understanding of Embedded Linux (Buildroot), system configuration and device-level development Familiarity with MQTT and messaging protocols used in distributed systems Experience with Qt and GUI development for Windows and Linux environments Working knowledge of observability concepts, incident response and long-term reliability strategies Exposure to hardware-in-the-loop (HIL) testing and embedded diagnostics Benefits Up to £60,000 DOE Career development opportunities Holidays: 25 days of annual leave (FTE), plus bank holidays, with an extra day for every three years completed (up to a maximum of 30 days). Ability to buy an additional 5 days Pension contributions of 8% from the employer Group Life Insurance, Income Protection, and Critical Illness cover Private Medical Insurance Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, NMS Recruit will be acting within your interest and will contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please get in touch with us here.

Role Title: Network Engineer 6 months Rate: 506 Hybrid -3 days on site in London Role Summary UK ITS AS (ENET) Engineer will be a member of the team that is responsible for the support and management of the of the infrastructure that supports the Bank's electronic business (known within other banks as Electronic Trading or Pre-Trade). This will be achieved by leveraging the technical expertise of other teams within UK ITS. Team members will work closely with core Infrastructure teams, development and the business responding to requests, fault reports, often being required to resolve issues quickly, under pressure and sometimes out of hours. In addition to business as usual activity there are a great number of infrastructure projects and tasks that must be completed. Role Description Deliver and support low latency connectivity and monitoring solutions for the Global Markets business, aligned with front-office trading and regulatory needs. Apply SRE principles to improve availability, latency, performance, and capacity planning across trading infrastructure. Collaborate with network and platform engineers to design reliable, self-healing systems and reduce manual intervention through automation. Own and execute the Global Markets connectivity roadmap, from project delivery through to operational handoff and lifecycle management. Partner with business stakeholders and platform owners to ensure infrastructure and observability tooling meets evolving trading requirements. Monitor and manage capacity and performance of global connectivity systems, working with regional teams to aggregate local intelligence. Develop and maintain automated alerting, health checks, and dashboards, supporting proactive detection of issues and system degradation. Lead lab-based testing and benchmarking initiatives for new connectivity solutions, ensuring readiness for production deployment. Produce operational and performance KPIs, SLO/SLI metrics, and executive summaries to support senior decision-making. Requirements Strong background in low latency network engineering, including TCP/IP, multicast, traffic shaping, and performance analysis. Proven experience with packet capture and analysis tools (Wireshark, tcpdump, Corvil/PICO); ability to build custom decoders is highly advantageous. Familiarity with SRE tools and practices, including infrastructure as code (IaC), CI/CD pipelines, error budgets, and reliability-focused SLIs/SLOs. Strong working knowledge of messaging middleware (Solace, 29West, Tibco, LBM, or equivalent) in performance-sensitive environments. Proficient in scripting and automation using Python, Bash, or PowerShell to streamline monitoring, alerting, and recovery workflows. Knowledge of FIX, market data, and order routing protocols in a trading environment. Exposure to observability platforms such as ITRS Geneos, Prometheus, Grafana, or custom telemetry stacks. Comfortable working across Linux systems, hybrid infrastructure, and global production environments. Excellent communication and reporting skills, with ability to translate technical data into actionable business insights.

AVP Infrastructure Cloud Support - AWS, Terraform, Python, DevOps, SRE - Permanent Job purpose This role is supporting the AWS Public cloud infrastructure and implementation of Infrastructure as Code using Terraform. The role will work closely with the SRE and Engineering teams to ensure that the Cloud environment has sufficient observability and is appropriately managed. What you will be doing: Responsible for ensuring the Production service is prioritized, with all service incidents, problems and requests for cloud hosted services responded to and actioned. Responsible for maintaining the reliability and security of the Cloud Hosted environments. Improve Observability and Telemetry in the Cloud Hosted environments utilizing SRE methodology to give SLA, SLO and SLIs. Ensure risks within the Cloud hosted environment are documented and regularly reviewed. Identified operational risk issues are captured with appropriate actions tracked to agreed timelines. Define and implement standards and procedures to adhere to current best practice and drive continual service improvement. Responsible for ensuring Security standards are implemented and maintained in the Cloud hosted environment. Including delivery of upgrades and security updates to minimise risk and ensure stability for all cloud hosted services. Responsible for maintaining service resilience for all cloud hosted services, including backup and disaster recovery processes. Where necessary plan and conduct quarterly DR tests for all cloud hosted services ensuring any findings are captured and addressed promptly. What we're looking for: Must have strong technical operational skills in supporting AWS Cloud Hosted environments and at least 3 years in an Infrastructure support role. Strong understanding of Infrastructure as Code technologies, ideally including Terraform and Ansible. Operational risk and control management processes, including an understanding of Security best practice and how to apply this safely within a Production environment. Asset management and life cycle (EOS/EOL) process management. Planning and leading disaster recovery fail-overs of IT systems and services. Preferably experience of working in a regulated financial services/banking organization. Able to understand and use AWS including an understanding of AWS services, security and networking. Knowledge of at least 1 programming language, preferably Python. Knowledge of CI/CD specifically relating to Cloud Hosted environments. Including an understanding of some of the Infrastructure as Code tools GIT, Terraform, Ansible, Jenkins. Permanent Role - Hybrid working (Central London based) - Candidate must be eligible to work in the UK By applying to this job you are sending us your CV, which may contain personal information. Please refer to our Privacy Notice to understand how we process this information. In short, in order to supply you with work finding services, we will hold and process your personal data, and only with your express permission we will share this personal data with a client (or a third party working on behalf of the client) by email or by upload to the Client/third parties vendor management system. By giving us permission to send your CV to a client, this constitutes permission to share the personal data that would be necessary to consider your application, interview you (Phone/video/face to face) and if successful hire you. Scope AT acts as an employment agency for Permanent Recruitment and an employment business for the supply of temporary workers. By applying for this job you accept the Terms and Conditions, Data Protection Policy, Privacy Notice and Disclaimers which can be found at our website.

Job title: DevOps Engineer Client: FinTech Salary: £90,000-£115,000 + Bonus Location: London Skills: Linux, Python, Ansible, Terraform, CI/CD, Observability, Azure, AWS The role: My client is seeking an experienced DevOps Engineer to join their team. The role covers a broad scope of technologies and responsibilities: Linux Ansible Kubernetes Python Terraform CI/CD & Groovy AWS & Azure Desirable skills: Observability Kafka (very highly desirable) - ELK/Tempo/OpenTelemetry/Prometheus/Jaeger VMware Network Automation Windows/TeamCity Nexus/Artifactory Molecule/Junit/PyTest/Gremlin/Chaos-Test/LitmusChaos Redis Please apply ASAP for more information.

NMS Recruit are seeking an experienced Embedded Systems Reliability Engineer to join global energy consultancy based in the Cheshire. This is an exciting opportunity to join a rapidly growing business. You will be required to work 50/50 split between site and home and sponsorship is available. This is an exciting opportunity for a talented Embedded Systems Reliability Engineer with proficiency in modern C++ (C+ or newer).Responsibilities Investigate and resolve complex bugs across embedded and desktop systems, implementing fixes and systemic quality improvements Develop and maintain tools for automated testing, diagnostics and release validation using Python and Bash Enhance and maintain CI/CD pipelines for embedded firmware (Buildroot/make) and desktop applications (CMake/Qt), integrating quality gates and static analysis Define, monitor and drive improvements against key reliability metrics (e.g. crash frequency, memory stability, startup success) Improve diagnostic visibility through structured logging, crash data capture and telemetry via MQTT Collaborate with hardware, software and test engineers to embed quality and reliability throughout the development lifecycle Experience Degree in Software Engineering, Computer Science, Electronics or equivalent working experience Proficiency in modern C++ (C+ or newer) for embedded and cross-platform desktop development Strong scripting experience in Python and Bash for tooling and test automation Experience with CMake, make, and CI/CD systems (e.g., GitLab CI, Azure Pipelines) Familiarity with Docker for embedded software builds and containerised testing Confident in debugging across firmware, OS and application layers Deep understanding of Embedded Linux (Buildroot), system configuration and device-level development Familiarity with MQTT and messaging protocols used in distributed systems Experience with Qt and GUI development for Windows and Linux environments Working knowledge of observability concepts, incident response and long-term reliability strategies Exposure to hardware-in-the-loop (HIL) testing and embedded diagnostics Benefits Up to £60,000 DOE Career development opportunities Holidays: 25 days of annual leave (FTE), plus bank holidays, with an extra day for every three years completed (up to a maximum of 30 days). Ability to buy an additional 5 days Pension contributions of 8% from the employer Group Life Insurance, Income Protection, and Critical Illness cover Private Medical Insurance Important Information: We endeavour to process your personal data in a fair and transparent manner. In applying for this role, NMS Recruit will be acting within your interest and will contact you in relation to the role, either by email, phone or text message. For more information see our Privacy Policy on our website. It is important you are aware of your individual rights and the provisions the company has put in place to protect your data. If you would like further information on the policy or GDPR please get in touch with us here.

Role Title: Security Engineer Start Date: ASAP End Date: 31st Mar 2026 Location: South of Manchester or Glasgow - 3 days on site per week Rate: 600 per day - PAYE via Umbrella Only Role Overview: We are seeking a highly capable Security Engineer to join a focused team developing a telemetry pipeline MVP. This role requires deep technical expertise in containerised environments, observability tooling, and secure infrastructure design. The ideal candidate will ensure that security is embedded across the pipeline architecture, from deployment to data flow, while collaborating closely with DevOps and development teams. Key Responsibilities: Design and implement security controls across containerised environments using Kubernetes and OpenShift Ensure secure configuration and access management within GitLab version control and CI/CD pipelines Integrate and secure telemetry tools including Cribl, Elastic, Splunk, Fluentd, and Syslog Conduct threat modelling, vulnerability assessments, and risk analysis for the telemetry pipeline Collaborate with DevOps engineers to embed security into infrastructure-as-code and deployment workflows Monitor and respond to security events and alerts from observability platforms Maintain documentation of security architecture, policies, and incident response procedures Required Skills & Experience: Strong hands-on experience with Kubernetes and OpenShift in secure production environments Proficiency in GitLab and secure CI/CD pipeline practices Familiarity with telemetry and logging tools: Cribl, Elastic, Splunk, Fluentd, and Syslog Deep understanding of networking protocols, firewalls, VPNs, and security principles Experience with security frameworks (e.g., NIST, ISO 27001) and compliance requirements Knowledge of container security tools (e.g., Aqua, Twistlock, Trivy) and vulnerability scanners Excellent analytical and communication skills Preferred Qualifications: Certifications such as CISSP, CISM, CKS (Certified Kubernetes Security Specialist), or equivalent Experience in building MVPs or working in startup-like environments Familiarity with cloud security (AWS, Azure, GCP)