526 to 550 of 687 Observability Jobs in England

Building backend services and APIs that give secure, governed access to LLM capabilities Developing Python-based GenAI components including prompt orchestration and evaluation tooling Integrating LLMs with enterprise systems, observability layers, and security frameworks Designing and maintaining CI/CD pipelines using Azure DevOps Working closely with platform leads, architects, and SRE teams to ensure stable, scalable operations Supporting benchmarking … on exposure to GenAI technologies and Large Language Models Practical understanding of LLM evaluation, prompt handling, and operational complexities A DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred) Confidence working in regulated enterprise environments with tight security controls Experience integrating AI or ML services into real-world applications Knowledge of authentication, secret management … Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery through automation and DevOps maturity High observability and strong evaluation built in from day one Platform teams and application teams genuinely enjoying what you build Clean documentation and an onboarding flow that makes adoption effortless If you More ❯

Building backend services and APIs that give secure, governed access to LLM capabilities Developing Python-based GenAI components including prompt orchestration and evaluation tooling Integrating LLMs with enterprise systems, observability layers, and security frameworks Designing and maintaining CI/CD pipelines using Azure DevOps Working closely with platform leads, architects, and SRE teams to ensure stable, scalable operations Supporting benchmarking … on exposure to GenAI technologies and Large Language Models Practical understanding of LLM evaluation, prompt handling, and operational complexities A DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred) Confidence working in regulated enterprise environments with tight security controls Experience integrating AI or ML services into real-world applications Knowledge of authentication, secret management … Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery through automation and DevOps maturity High observability and strong evaluation built in from day one Platform teams and application teams genuinely enjoying what you build Clean documentation and an onboarding flow that makes adoption effortless If you More ❯

Building backend services and APIs that give secure, governed access to LLM capabilities Developing Python-based GenAI components, including prompt orchestration and evaluation tooling Integrating LLMs with enterprise systems, observability layers, and security frameworks Designing and maintaining CI/CD pipelines using Azure DevOps Working closely with platform leads, architects, and SRE teams to ensure stable, scalable operations Supporting benchmarking … on exposure to GenAI technologies and Large Language Models Practical understanding of LLM evaluation, prompt handling, and operational complexities A DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred) Confidence working in regulated enterprise environments with tight security controls Experience integrating AI or ML services into real-world applications Knowledge of authentication, secret management … Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery through automation and DevOps maturity High observability and strong evaluation built in from day one Platform teams and application teams genuinely enjoying what you build Clean documentation and an onboarding flow that makes adoption effortless Role Details More ❯

Building backend services and APIs that give secure, governed access to LLM capabilities Developing Python-based GenAI components, including prompt orchestration and evaluation tooling Integrating LLMs with enterprise systems, observability layers, and security frameworks Designing and maintaining CI/CD pipelines using Azure DevOps Working closely with platform leads, architects, and SRE teams to ensure stable, scalable operations Supporting benchmarking … on exposure to GenAI technologies and Large Language Models Practical understanding of LLM evaluation, prompt handling, and operational complexities A DevOps-first approach with experience in CI/CD, observability, and automation (Azure DevOps preferred) Confidence working in regulated enterprise environments with tight security controls Experience integrating AI or ML services into real-world applications Knowledge of authentication, secret management … Exposure to RAG patterns and vector search technologies What Success Looks Like: Secure, reusable GenAI components running smoothly in production Faster engineering delivery through automation and DevOps maturity High observability and strong evaluation built in from day one Platform teams and application teams genuinely enjoying what you build Clean documentation and an onboarding flow that makes adoption effortless Role Details More ❯

Proven DevOps experience in Azure environments. Strong knowledge of Azure architecture (App Services, Functions, Key Vault, etc.). Familiarity with Azure Monitor, Application Insights, Log Analytics, and KQL for observability and diagnostics. Experience with IaC, monitoring tools (App Insights, Log Analytics), and automation. Familiarity with .NET Core, React, or modern software delivery pipelines. Passion for reliability, continuous improvement, and secure … Terraform for Azure resource management. Practical knowledge of containerisation and orchestration (Docker, Azure Container Apps, or Kubernetes). Familiarity with Azure Monitor, Application Insights, Log Analytics, and KQL for observability and diagnostics. Strong focus on automation, continuous improvement, and service reliability. Understanding of DevSecOps principles and secure cloud deployment practices. If you have the relevant skills for this role and More ❯

Platform Engineer, you'll be creating, iterating, and solving genuine engineering challenges. You'll collaborate closely with product and engineering teams across the stack to improve developer experience, strengthen observability, and troubleshoot complex distributed systems. A focus on clean, maintainable code, cloud infrastructure, and strong security practices is essential. Senior Platform Engineer - Key Skills & Experience: Solid background in software engineering …/CD pipelines and modern deployment practices Familiarity with infrastructure-as-code tools such as Terraform Strong understanding of security best practices in application and infrastructure design Exposure to observability tools (e.g. Prometheus, Grafana, structured logging) Confident debugging and resolving issues in complex distributed systems Product-oriented mindset with a collaborative approach to improving developer experience Bonus: experience with Kafka More ❯

Platform Engineer, you’ll be creating, iterating, and solving genuine engineering challenges. You’ll collaborate closely with product and engineering teams across the stack to improve developer experience, strengthen observability, and troubleshoot complex distributed systems. A focus on clean, maintainable code, cloud infrastructure, and strong security practices is essential. Senior Platform Engineer – Key Skills & Experience: Solid background in software engineering …/CD pipelines and modern deployment practices Familiarity with infrastructure-as-code tools such as Terraform Strong understanding of security best practices in application and infrastructure design Exposure to observability tools (e.g. Prometheus, Grafana, structured logging) Confident debugging and resolving issues in complex distributed systems Product-oriented mindset with a collaborative approach to improving developer experience Bonus: experience with Kafka More ❯

and driven Security Engineer to join our small, focused team building a telemetry pipeline MVP. You'll play a key role in designing and securing our containerized environments, ensuring observability tools and infrastructure are built with security at their core. This role blends deep technical expertise with a hands-on, collaborative approach ideal for someone who thrives in fast-moving … documentation and response playbooks What You Bring Hands-on experience with Kubernetes, OpenShift, and secure production systems Strong GitLab and CI/CD security expertise Familiarity with telemetry and observability stacks Solid grasp of networking, firewalls, and core security principles Knowledge of container security tools (Aqua, Twistlock, Trivy) Understanding of frameworks like NIST or ISO 27001 Excellent analytical and communication More ❯

importantly, drive the blameless post-mortem process to find the root cause and engineer a permanent fix. Partner with development teams to consult on new features, ensuring reliability and observability are designed in from day one. What You'll Need: Deep experience in the Microsoft Azure ecosystem (especially PaaS, App Services). Strong commercial experience with Infrastructure as Code (especially … proven background in an SRE, DevOps, or Software Engineering (with an operations focus) role. Solid scripting/programming skills for automation (e.g., PowerShell, Python, Bash). Expertise with modern observability tools (e.g., Datadog, Application Insights, Log Analytics, Grafana). A collaborative mindset with a strong sense of ownership and a passion for engineering reliability. What's In It For You More ❯

secure, compliant, and high-availability environments for our AI workloads. You’ll lead a small cross-functional team, manage deployment pipelines, automate processes, and enforce defence-grade reliability and observability standards. Key Responsibilities Lead and manage a small team (developers + DevOps engineers) delivering secure, scalable, and high-availability AI systems. Own AWS-based infrastructure : Lambda, EC2, S3, CloudFormation/… Python , JSON , and serverless architectures . Deep understanding of CI/CD (GitHub Actions, Jenkins, or AWS CodePipeline). Proven ability to secure and scale production systems. Monitoring and observability tools (CloudWatch, Grafana, OpenTelemetry). Familiar with data exchange formats (JSON, YAML, Parquet) and API design. Leadership & Delivery 4–8 years in software development and/or DevOps , including 2+ More ❯

years of commercial experience working primarily in an AWS Cloud environment using approaches/tooling like ours (see technical skills), delivering scalable, performant, reliable solutions. Strong data reliability/observability, data governance and information security credentials. What technical skills are required? ETL/ELT & Data Transformation: Amazon Redshift (query tuning, distribution/sort keys, workload management) Data modelling (normalisation, dimensional … data processing, automation, testing) SQL (advanced query writing and optimization) Data Engineering Best Practices: CI/CD for data pipelines (Git, GitHub Actions, etc.) Data quality checks, monitoring, and observability Infrastructure as Code (Terraform etc.) Other Tools & Ecosystem: Experience with logging/monitoring Exposure to data governance, cataloguing, and lineage tools Ability to work with a range of structured, semi More ❯

Great opportunity for Senior Python Engineers to work remotely for a UK based AI scale-up. You'd join a large engineering department and would work within a cross functional product-based team responsible for building cloud-native, event-driven More ❯

Platform Engineer - PERMANENT Location : London Industry : Financial Services Salary : £70,000 - 80,000 + benefits + bonus Hybrid : In office 3 days per week The Platform Engineering team seeks an ambitious Engineer specialising in AWS, Python, Terraform, Git for CI More ❯

Platform Engineer - PERMANENT Location : London Industry : Financial Services Salary : £70,000 - 80,000 + benefits + bonus Hybrid : In office 3 days per week The Platform Engineering team seeks an ambitious Engineer specialising in AWS, Python, Terraform, Git for CI More ❯

Great opportunity for Senior Python Engineers to work remotely for a UK based AI scale-up. You'd join a large engineering department and would work within a cross functional product-based team responsible for building cloud-native, event-driven More ❯

AI Agent Developer - London Hybrid Salary £80,000 Are you passionate about pushing the boundaries of AI? Do you thrive on creating intelligent agents that can think, learn, and act independently? We're looking for a visionary AI Agent Developer More ❯

in implementing good practice with regards to accessibility (Keyboard support, screen readers, form usability) Knowledge of various front-end architectural patterns E2E Testing experience (Cypress/Playwright) Experience with Observability as a practice (logging, GA tagging, TrackJS, App Insights) If you would be interested please apply below! INDMANS More ❯

in implementing good practice with regards to accessibility (Keyboard support, screen readers, form usability) Knowledge of various front-end architectural patterns E2E Testing experience (Cypress/Playwright) Experience with Observability as a practice (logging, GA tagging, TrackJS, App Insights) If you would be interested please apply below! INDMANS More ❯

/20), with a focus on performance and concurrency Deep understanding of systems programming, including memory models, CPU architecture, and OS internals Experience with kernel bypass technologies Familiarity with observability tools, debugging in live environments, and production incident response Background in high-performance computing, trading systems, or large-scale distributed systems is a plus. Interested in building the backbone of More ❯

modern warehouse and experience with dbt. Building audiences at scale, including identity resolution and edge-case handling. Rigorous testing/QA mindset and production hygiene (version control, code review, observability). Understanding of privacy & consent in the UK/EU (GDPR, PECR) and operationalising suppression rules. More ❯

modern warehouse and experience with dbt. Building audiences at scale, including identity resolution and edge-case handling. Rigorous testing/QA mindset and production hygiene (version control, code review, observability). Understanding of privacy & consent in the UK/EU (GDPR, PECR) and operationalising suppression rules. More ❯

to a diverse customer base. They are committed to leveraging technology to maintain and improve their operational excellence Description * Own SolarWinds monitoring alerting, and reporting; integrate with Splunk for observability * Manage Cisco and Meraki licensing, support, and life cycle (incl. CX Cloud Collector) * Maintain accurate documentation for IP address plans, DNS/DHCP/forwarding, and structured cabling * Administer NetApp More ❯

to a diverse customer base. They are committed to leveraging technology to maintain and improve their operational excellence Description * Own SolarWinds monitoring alerting, and reporting; integrate with Splunk for observability * Manage Cisco and Meraki licensing, support, and lifecycle (incl. CX Cloud Collector) * Maintain accurate documentation for IP address plans, DNS/DHCP/forwarding, and structured cabling * Administer NetApp support More ❯

and your industry knowledge. Role Requirements Essential Criteria Experience of operating platforms in a controlled environment with strict change control. Experience in managing and working with Kubernetes environments and observability tools. Experience with Azure monitoring, logging, and observability tools. Preference to work as part of a team rather than individually. Expert Microsoft Azure and CAF knowledge. Microsoft Azure administration skills More ❯

and your industry knowledge. Role Requirements Essential Criteria Experience of operating platforms in a controlled environment with strict change control. Experience in managing and working with Kubernetes environments and observability tools. Experience with Azure monitoring, logging, and observability tools. Preference to work as part of a team rather than individually. Expert Microsoft Azure and CAF knowledge. Microsoft Azure administration skills More ❯