451 to 475 of 2,090 Observability Jobs in the UK

team, shaping opportunities into funded, well-scoped workstreams Balances speed of iteration with the team's engineering, Responsible AI, and control standards (guardrails, evaluation, observability) Feeds reusable patterns, skills, and learnings back into the team's platform so each engagement compounds Contributes to the team's GenAI education and knowledge ...

organisation, retrospectives, written documentation (RFCs, DACIs), and cross‐functional partnerships. Qualifications Strong production engineering experience: built, deployed and operated complex systems in production with observability, reliability, performance optimisation and operational realities. Hands‐on LLM/ML systems experience: fine‐tuning models, building inference pipelines, optimisation for latency/cost, evaluation ...

communication skills, with the ability to explain technical topics clearly to engineers, product teams and business stakeholders. Proven ownership of production services, including reliability, observability, incident response and continuous improvement. Track record of mentoring engineers and improving team engineering capability. Strong proficiency in C#/.NET, JavaScript or TypeScript, React ...

REST, and GraphQL. Experience developing cloud-native applications on AWS; applying testing, DevSecOps, CI/CD (GitHub Actions), and Secure SDLC practices; working with observability and analytics tools such as Splunk and Mixpanel Experience using AI-assisted development tools such as GitHub Copilot, Amazon Bedrock, and agentic AI workflows. Work ...

quality Write well-tested, maintainable code and contribute to a culture of high engineering standards through code review, documentation and technical discussion Improve system observability, reliability and performance — instrument, monitor and optimise the systems you build Make pragmatic technical decisions that balance speed of delivery with long‐term maintainability Collaborate ...

user experiences. ThousandEyes is deeply integrated across the Cisco technology portfolio, delivering AI‐powered assurance insights within Cisco’s Networking, Security, Collaboration, and Observability portfolios. Our distributed Site Reliability Engineering team of approximately nine engineers owns the availability, latency, performance, efficiency, monitoring, emergency response, and capacity planning of the platform ...

models for production and research use cases. Conduct architecture and design reviews to uphold best practices in system design and scalability. Develop monitoring and observability solutions to ensure system health and performance. Lead projects end-to-end, from requirements gathering to implementation, in a cross-functional environment. Ideally ...

using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure ...

with Product, Architecture, Operations, and Business leadership to define roadmaps, priorities, and investment plans Champion engineering best practices including DevOps, CI/CD, automation, observability, resilience, and secure development principles Build and maintain a high-performance engineering culture focused on accountability, collaboration, innovation, and continuous learning Ensure platform stability, availability ...

services . Work with self-hosted inference and model-serving technologies where appropriate, including tools such as vLLM, SGLang and Ollama . Design evaluation, observability and monitoring frameworks to assess model performance, system health, reliability and business impact. Optimise AI solutions for performance, scalability, security and cost-efficiency. Identify where ...

layer. Define and operate the evaluation layer — golden datasets, regression suites, agent-level metrics and human review workflows for non-deterministic outputs. Own the observability and tracing stack (Langfuse, CloudWatch) and the runtime quality, latency and cost envelope of the platform. Team leadership and capability build Lead the in-house ...

solution landscape. Select appropriate knowledge, retrieval and data-access strategies for different AI use cases. Implement evaluation frameworks, guardrails, monitoring and observability for AI solutions. Ensure solutions are developed in line with security, privacy, compliance and data governance requirements. Establish deployment standards, CI/CD practices and reusable engineering patterns. ...

foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations. Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability. Collaborate directly with users: Partner with ...

reviews and ensure adherence to engineering standards. Establish best practices for: Clean code and maintainability; Testing strategy (unit, integration, E2E); CI/CD pipelines; Observability and monitoring; Security and performance optimisation. Ensure scalability, reliability, and long‐term technical sustainability of a high‐throughput, event‐driven platform. Reduce technical debt through ...

high-performance applications, employing cutting edge algorithms, software design and technologies to do so. You enjoy collaborating with other engineers through pair programming. Observability Web services, REST, HTTP Containers, cloud Testing, reliability, monitoring Strong knowledge in building and owning application end-to-end, from inception to maintenance, to retirement Designing ...

8+ years of software engineering experience, including architecture and production ownership of distributed services, APIs, or transaction-processing platforms that require high reliability, security, observability, and operational readiness. Strong cloud-native engineering experience on AWS, GCP, Azure or comparable public cloud environments, with the ability to make pragmatic architecture decisions ...

that train, serve, and secure our AI models. That includes data pipelines, some of the largest Kubernetes clusters in the world, and the databases, observability, and developer tooling that every other team at Anthropic depends on. As a Staff Software Engineer on the Infrastructure team, you'll scope and lead ...

design principles, covering identity and access management, data protection, compliance and secure development practices. Proven experience with CI/CD pipelines, environment lifecycle management, observability, monitoring, telemetry and performance optimisation. Excellent stakeholder management, communication and technical documentation skills, with the ability to engage effectively across both technical and business audiences. ...

availability systems handling high message volumes and time‐critical processing.* Ensure systems meet non‐functional requirements, including latency, throughput, resiliency, fault tolerance, security, and observability* Contribute to system and solution architecture, participating in design reviews and providing pragmatic input on scalability and operability.* Work closely with Product ...

Engineering Fundamentals: Bring rigour to how we model, test, deploy and operate data platforms: dimensional and medallion modelling, CI/CD, infrastructure as code, observability, cost management and data quality by design. 2. Leading Teams of Engineers Lead from the Front: Build and lead high-performing delivery teams, setting direction ...

clearly articulating technical challenges, proposed solutions, delivery risks, project timelines and key milestones. Engineering Standards & Operational Excellence: Champion best practices across software engineering, testing, observability, security, model evaluation and responsible AI, ensuring AI services are reliable, scalable and maintainable in production. About You 4+ years' experience in AI Engineering, Machine ...

. Preferred qualifications, capabilities, and skills In‐depth knowledge of the financial services industry and their IT systems Practical cloud native experience Experience with observability tooling and practices (structured logging, metrics, distributed tracing) and incident/problem management. Work Style/Ways of Workin g Strong communication skills, ownership mindset ...

Crossplane, CRDs) Maintain high standards across testing (unit, integration, contract) and code quality Apply strong security practices across backend and frontend systems Build meaningful observability (tracing, logging, SLOs) focused on real user impact Take a cost aware approach to scaling and resource usage Participate in an on call rotation once ...

production AI solutions. Partner with data science teams to translate complex forecasting models and machine learning algorithms into production‐ready, scalable architectures. Design robust observability and evaluation frameworks for GenAI systems, including system guardrails, continuous monitoring, and optimisation mechanisms. Your Skills Experienced background in software architecture, highlighted by a dedicated ...

Strong understanding of mobile CI/CD pipelines, release management and deployment automation. Experience using GitHub and modern source control workflows. Knowledge of mobile observability, alerting, monitoring and performance optimisation. Ability to provide technical leadership, influence engineering decisions and support multiple teams in delivering high‐quality mobile solutions. Desirable Skills ...