8 of 8 Remote/Hybrid Observability Jobs in Bristol

with Docker, Kubernetes, and Docker Compose. Infrastructure as Code: Proficiency with Terraform or equivalent. Evaluation and Monitoring: Experience with evaluation-driven development and LLM observability tooling such as Langsmith, Langfuse, Braintrust, or similar. CI/CD: Comfortable owning pipelines end to end (GitHub Actions, GitLab CI, Jenkins). Database Management ...

essential) Practical understanding of compute, networking, storage, and/or identity management. Experience managing multi-account or multi-tenant environments. Experience deploying and configuring observability tools and platforms. Familiarity with GitOps practices. Experience configuring and using Linux systems. About you The ideal candidate will have a strong balance of technical ...

team’s needs • Be responsible for infrastructure and platform provisioning, configuration, build, deployment, and monitoring using Infrastructe-as-Code • Define and implement what good observability practices look like for clients, track reliability metrics (SLIs/SLOs/error budgets) and participate in incident response where relevant to your specialism • Build … team environments Site Reliability Engineering • Defining and operating against SLIs/SLOs/error budgets • Incident response, on-call practices, and post-incident review • Observability and monitoring: Grafana, Dynatrace, CloudWatch, Prometheus, Datadog, OpenTelemetry General • Scripting (bash/shell) • Testing tooling: Selenium, Cucumber, etc. • Ability to flexibly support a variety ...

client journeys on React and React Native. You'll coach engineers, own delivery, guide architectural decisions, partner with product, and drive observability and high-velocity delivery in a regulated financial services environment. #J-18808-Ljbffr ...

here: areas of responsibility Working within the Platforms team, youll build robust platform services, enabling self-service infrastructure, seamless CI/CD, and strong observability, while also supporting API-first development, system integration, and the adoption of AI/ML capabilities across the organisation. Turning platform strategy into reality through … security, compliance, and best practices into the platform by design. Contributing to platform standards, patterns, and reusable components to drive consistency across teams. Improving observability, monitoring, and alerting capabilities across systems and services. Supporting onboarding of teams to the platform and enabling adoption through documentation and guidance. Continuously identifying opportunities ...

risks early and transparently. Establish engineering guardrails across scope, quality, and non-functional requirements, enabling teams to design optimal solutions within them. Champion observability and operational excellence, ensuring system health, SLOs, and alerting are visible and actively managed. Partner with Tech Leads and Architects on system design and evolution, bringing … architecture, including API design and integration, performance optimisation, security, and microservice or event‐driven patterns. Experience with CI/CD, modern development workflows, and observability practices. Proven track record of leading high‐performing teams in fast‐paced, complex or regulated environments. Passion for mentoring and developing engineers through coaching, feedback ...

Head of Platform Engineering, you'll define and deliver robust platform services, establish the patterns for self-service infrastructure, CI/CD, and observability, and drive the integration of AI/ML capabilities across the organisation. You'll translate platform strategy into a coherent technical roadmap, setting standards that teams … these are sustained as the platform evolves. Defining and maintaining platform standards, patterns, and reusable components that drive consistency across teams. Leading improvements to observability, monitoring, and alerting capabilities across systems and services. Mentoring and developing engineers across the organisation, raising the collective standard of platform engineering practice. Identifying ...

business: run evaluations, evidence the benefits, and train teams on effective use. Build the infrastructure that makes agents trustworthy: sandboxing, permissioning, audit logging, and observability so that what an agent did is efficient, secure, and fully transparent to the engineer who has to stand behind it. Create repeatable development environments … experience implementing agentic AI in real engineering workflows (beyond individual experimentation). Experience designing the guardrails around agentic AI: sandboxing, permissioning, audit logging, or observability for tools operating with elevated access. Deep, hands-on experience of CI/CD, infrastructure as code, containers, and Kubernetes. Experience of building and deploying ...