701 to 725 of 2,337 Observability Jobs in London

changes. Establish the foundations required for this system, including a stable Playwright framework, reliable CI integration, EP test environments, test data management, quality observability, and structured test knowledge. Set up meaningful quality gates in CI and PR workflows, including coverage validation, framework conventions, high-risk code checks, and actionable failure ...

intelligent test selection systems that reduce CI time while maintaining code qualityBuild and improve incident response automation, including cluster load shedding, automatic recovery, and observability toolingImprove test infrastructure reliability through flake detection, quarantine systems, and test state managementYou may be a good fit if youHave 10+ years of relevant industry ...

culture — not just building features, but raising the bar on how the team works.You'll own systems end‐to‐end, from architecture through to observability, and you'll operate in a spec‐first development environment that increasingly leverages AI‐assisted workflows. Typical time allocation:roughly 60%building systems and features ...

production-quality software applications. Consistently clear and concise written and verbal communication. Experience working with APIs and microservices systems. Proven experience in ensuring observability, robust testing quality practice and maintaining clean CI/CD pipelines. Any Beneficial/Nice to have skills and experience: Experience working in React JS, with ...

production-quality software applications. Consistently clear and concise written and verbal communication. Experience working with APIs and microservices systems. Proven experience in ensuring observability, robust testing quality practice and maintaining clean CI/CD pipelines. Any Beneficial/Nice to have skills and experience: Experience working in React JS, with ...

tool layer exposing internal APIs, warm sandbox pool, and retrieval over the codebase, tickets, and historical PRs. Own the economics of the pipeline: observability over token usage, task latency, and cost per run; model-tier routing and cost-per-outcome gating. Embed governance into the pipeline - machine-generated audit trails ...

messy, heterogeneous external data, at national scale. In your first 90 days you'd ship multi-tenant authentication, a hardened ingestion layer with the observability we can put an SLA behind, and the benchmarking harness for those accuracy claims. Real production milestones, not onboarding theatre. On AI tooling and ownership ...

career. Building relationships with your customers, partner teams and the engineers on your team. Measuring the quality of your software and systems via instrumentation, observability, and customer usage patterns. Influence your team’s technical decisions by making insightful contributions to team priorities and approach. Leverage AI in your daily work ...

agentic safety at enterprise scale. AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership—training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker. Cloud AI Platforms: Demonstrated deployment of AI workloads ...

security tooling in the same stack. Applications without production Go will not progress. Software engineering fundamentals. Version control, code review, testing, CI/CD, observability, on-call for services you've built. You are an engineer who does security, not a security person who occasionally scripts. Payment cryptography operations. Hands ...

e.g., E2E/Cypress). Backend Excellence: Engineers sophisticated backend solutions involving API versioning, caching strategies, and complex data migration plans. Operational Maturity: Leads observability and SRE practices; defines SLOs, manages incident responses, and conducts blameless post-mortems. Security & Risk: Oversees operational security, including secrets hygiene and dependency risk management ...

Python web frameworks (e.g., FastAPI, Flask, Django). Practical experience with database data flows (e.g., PostgreSQL), cloud/container infrastructure (Docker, Kubernetes), and frontend observability tools (Sentry, Datadog, OpenTelemetry). Strong habits around testing frameworks (unit, integration, end‐to‐end), CI/CD pipelines, and frontend build tooling (Storybook, design ...

Make deliberate trade‐offs between freshness, cost, and complexity — and explain those trade‐offs to the business in terms they care about Data quality & observability Champion analytics engineering best practice across the company: testing, version control, code review, CI, and documentation applied to data the same way engineering applies them ...

agentic safety at enterprise scale* AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker* Cloud AI Platforms: Demonstrated deployment of AI workloads ...

scalability. Strong experience working with large databases or data platforms, including performance tuning and operational management. Strong understanding of production operations, including incident management, observability, and reliability engineering. Ability to influence and guide teams through technical credibility rather than formal authority. Career Stage: ManagerLondon Stock Exchange Group (LSEG) Information: Join ...

application development, agent frameworks, MCP, or building developer tools. Prior ops or on-call experience. Experience with distributed systems, async task processing, or observability tooling (tracing, metrics, logging). Our Offer Work with colleagues that lift you up, challenge you, celebrate you and help you grow. We come from many ...

layers) Ensure that integration points adhere to strict data protection standards across multi-geo environments. Implement frameworks for data lineage, data cataloging, and automated observability to ensure trust and reliability in data pipelines Design and implement integration solutions that connect disparate business systems and data sources to ensure seamless data ...

keeps everyone moving. 🔍 We're Looking for Someone With Strong Technical Fluency: Comfortable with APIs, relational databases like Postgres, MySQL, or ClickHouse, and observability tools like Datadog. You can write Python, navigate a codebase, and work comfortably in GitHub. A Builder Mindset: You enjoy figuring things out yourself. ...

e.g., E2E/Cypress). Backend Excellence: Engineers sophisticated backend solutions involving API versioning, caching strategies, and complex data migration plans. Operational Maturity: Leads observability and SRE practices; defines SLOs, manages incident responses, and conducts blameless post-mortems. Security & Risk: Oversees operational security, including secrets hygiene and dependency risk management ...

Python web frameworks (e.g., FastAPI, Flask, Django). Practical experience with database data flows (e.g., PostgreSQL), cloud/container infrastructure (Docker, Kubernetes), and frontend observability tools (Sentry, Datadog, OpenTelemetry). Strong habits around testing frameworks (unit, integration, end-to-end), CI/CD pipelines, and frontend build tooling (Storybook, design ...

high-throughput streaming or telemetry pipelines (e.g., Kafka, Pulsar, Kinesis, or equivalent). Strong experience designing time-series feature pipelines and operating large-scale observability systems. Experience building and maintaining feature stores and ensuring offline/online feature parity. Hands‐on experience deploying ML models to production, including versioning, monitoring ...

pipelines with tools such as ArgoCD, Jenkins, and Terraform Cloud. Automate deployment workflows, testing, and release processes to improve delivery speed and reliability. Monitoring, Observability & Reliability: Build and enhance monitoring, logging, and alerting systems using CloudWatch, Datadog, and other observability platforms. Contribute to SRE-style initiatives to improve system resilience … orchestration with Kubernetes. Experience building and maintaining CI/CD pipelines. Solid scripting experience using Python, Bash, or similar. Experience with monitoring/observability stacks (CloudWatch, Datadog, etc.). Good understanding of networking fundamentals (DNS). Desirable Skills & Experience: Experience with Istio or other service mesh technologies. Exposure to GitOps ...

pipelines with tools such as ArgoCD, Jenkins, and Terraform Cloud. Automate deployment workflows, testing, and release processes to improve delivery speed and reliability. Monitoring, Observability & Reliability: Build and enhance monitoring, logging, and alerting systems using CloudWatch, Datadog, and other observability platforms. Contribute to SRE-style initiatives to improve system resilience … orchestration with Kubernetes. Experience building and maintaining CI/CD pipelines. Solid scripting experience using Python, Bash, or similar. Experience with monitoring/observability stacks (CloudWatch, Datadog, OpenTelemetry, etc.).Good understanding of networking fundamentals (DNS, routing, VPNs, load balancing, firewalls).Strong version-control discipline using GitHub or similar. Understanding ...

JPMorgan Chase is seeking a Site Reliability Engineer to join the International Consumer Bank. You will enhance reliability and operability of customer-facing digital banking services, building automation, and implementing AI-assisted engineering practices. The ...

ITRS is seeking an experienced Director of Platform Engineering to lead our Analytics SaaS platform, focusing on Kubernetes-based services, cloud-native operations, and reliable service outcomes. You will guide hands-on SaaS engineering, set ...