1 to 25 of 47 Observability Jobs in the East of England

lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science ...

lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks like Prometheus or OpenTelemetry Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace Exposure to Azure or GCP Passion for financial services Requirements: Degree in Computer Science ...

raise engineering standards for quality and reliability in customer-facing systems. Non-functional Practice: Own non-functional excellence for enterprise customers: performance, reliability, observability, and incident management. Champion security best practices (e.g., vulnerability management, data protection, RBAC, audit logging) and ensure changes support SLAs/SLOs appropriate for SaaS products ...

functionally with frontend engineers (React) to deliver seamless end-to-end functionality and an exceptional client experience. Own system reliability in production — implementing monitoring, observability, testing frameworks, and proactive performance optimisation. Identify bottlenecks, technical debt, and architectural risks early, and take initiative to design pragmatic, scalable solutions. Champion engineering best ...

functionally with frontend engineers (React) to deliver seamless end-to-end functionality and an exceptional client experience. Own system reliability in production — implementing monitoring, observability, testing frameworks, and proactive performance optimisation. Identify bottlenecks, technical debt, and architectural risks early, and take initiative to design pragmatic, scalable solutions. Champion engineering best ...

standards and governance Strengthening CI/CD pipelines and reducing manual deployment overhead Ensuring platforms are scalable, resilient, and ready for mass usage Embedding observability and proactive reliability practices Integrating QA effectively into the DevOps lifecycle This is a hands-on leadership role requiring both strategic direction and technical depth. ...

performance optimisation for rendering large datasets in the browser. Familiarity with SRE-style practices : SLIs/SLOs, capacity planning, incident response Experience with observability tooling (metrics, tracing, logging) How we work Pragmatic, production-oriented engineering Strong preference for incremental improvement over large rewrites Decisions driven by data: latency, throughput, error ...

product, and analytics through clear communication and stakeholder collaboration. Anticipate future data needs, balancing long-term vision with pragmatic delivery. Own reliability, performance, and observability of critical data systems, including SLO definition and operational resilience. Mentor and develop senior data engineers through architecture reviews, technical coaching, and knowledge sharing. Champion ...

/CD (Azure), and post-release monitoring. Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows. Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues. Collaborate closely with frontend, product, and customer-facing teams to deliver ...

/CD (Azure), and post-release monitoring. Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows. Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues. Collaborate closely with frontend, product, and customer-facing teams to deliver ...

/CD (Azure), and post-release monitoring. Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows. Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues. Collaborate closely with frontend, product, and customer-facing teams to deliver ...

/CD (Azure), and post-release monitoring. Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows. Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues. Collaborate closely with frontend, product, and customer-facing teams to deliver ...

/CD (Azure), and post-release monitoring. Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows. Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues. Collaborate closely with frontend, product, and customer-facing teams to deliver ...

with React Solid understanding of cloud-native engineering on AWS Experience with microservices, messaging patterns and distributed systems A commitment to clean code, testing, observability and operational excellence A proactive and motivated mindset — someone who wants to build, ship and iterate quickly Interest in AI-powered products and a drive ...

with React Solid understanding of cloud-native engineering on AWS Experience with microservices, messaging patterns and distributed systems A commitment to clean code, testing, observability and operational excellence A proactive and motivated mindset — someone who wants to build, ship and iterate quickly Interest in AI-powered products and a drive ...

mentor and develop engineers. Desirable Experience Experience with Snowflake. Experience with Apache Iceberg. Experience with infrastructure-as-code (Terraform preferred). Experience embedding observability and monitoring in data systems. Previous experience building and leading data teams in a scale-up environment. Benefits What's in it for you: Shape ...

patterns for consistent environments Define and standardise CI/CD pipelines in Azure DevOps Implement secure delivery practices including automated security scanning Build strong observability foundations (monitoring, logging, alerts) Improve operational readiness, incident response and disaster recovery Coach teams on DevOps best practice and platform standards What we're looking ...

including production support Working with data-heavy systems where correctness and reliability matter Integrating with third-party APIs and external systems Improving performance, observability, and resilience Contributing to system design and architectural decisions Helping set and uphold engineering best practices, and acting as a senior presence in the team What ...

including production support Working with data-heavy systems where correctness and reliability matter Integrating with third-party APIs and external systems Improving performance, observability, and resilience Contributing to system design and architectural decisions Helping set and uphold engineering best practices, and acting as a senior presence in the team What ...

propose and implement safe, aggressive extraction strategies Ensure high-quality, reliable code with comprehensive unit, integration, and end-to-end tests Maintain documentation, observability solutions, and performance monitoring across the platform What They're Looking For Technical Skills: Strong experience in Django or Ruby (with willingness to learn the other ...

using LLMs and GenAI technologies, including prompt engineering, model integration, RAG patterns, agentic workflows, and guardrails. Ability to define and measure quality, accuracy, and observability metrics for GenAI features in production. • Machine Learning & Data Science Knowledge: Solid understanding of machine learning concepts, model deployment, and inference APIs. Ability to evaluate ...

using LLMs and GenAI technologies, including prompt engineering, model integration, RAG patterns, agentic workflows, and guardrails. Ability to define and measure quality, accuracy, and observability metrics for GenAI features in production. • Machine Learning & Data Science Knowledge: Solid understanding of machine learning concepts, model deployment, and inference APIs. Ability to evaluate ...

using LLMs and GenAI technologies, including prompt engineering, model integration, RAG patterns, agentic workflows, and guardrails. Ability to define and measure quality, accuracy, and observability metrics for GenAI features in production. • Machine Learning & Data Science Knowledge: Solid understanding of machine learning concepts, model deployment, and inference APIs. Ability to evaluate ...

synchronization across development, testing, and production stages. Optimize data pipelines for performance, resource utilization, and cost efficiency while ensuring high reliability and scalability. Establish observability frameworks with CloudWatch, Grafana, or Datadog for proactive monitoring and troubleshooting. Collaborate with cross-functional teams to enhance deployment strategies, resolve technical issues, and implement … Terraform). Proficiency in CI/CD tools such as Jenkins, GitHub Actions, or similar. Strong scripting skills in Python for automation, logging, and observability integrations. Expertise in SQL, especially Redshift, and in managing large-scale data processing frameworks like Spark and EMR. Hands-on experience with containerization (Docker, Kubernetes ...

within the agent framework. Inference & Performance: Optimize LLM integration, latency, and cost efficiency. State & Reliability: Strengthen Redis-backed persistence and ensure system consistency. Evaluation & Observability: Build regression frameworks and implement monitoring and tracing. What We're Looking For Strong Python engineering experience with production-grade systems Hands-on with ...