801 to 825 of 3,237 Observability Jobs in the UK

Support and maintain existing simulation and training systems, as well as existing deployment and virtualisation tools. Apply SRE practices to improve system reliability, including observability (metrics, logs, tracing), incident response, and root cause analysis. What We Are Looking For: This is not a pure cloud or greenfield platform role. … failures Pragmatic and delivery-focused, with a bias toward keeping systems running. Strong collaborator across engineering disciplines Adopts an SRE mindset, focusing on reliability, observability, and continuous improvement of running systems. Key Technical Proficiencies: Expert working knowledge of Kubernetes, Helm, Teraform, Ansible, and Docker. Understanding of Distributed Systems in production. ...

hands-on: model tier selection (Haiku vs. Sonnet vs. Opus), prompt caching, and token budgeting against containment-rate targets Diagnose AI agent performance using observability tooling (agent spans, and CloudWatch) that correlates contact flow logs, conversation transcripts, AI agent spans, tool executions, and token usage to isolate latency, cost … Functions, Kinesis) Infrastructure as code proficiency with AWS CDK or Terraform, including multi-account deployment patterns Experience shipping and supporting production systems, testing discipline, observability instrumentation, and incident debugging. ...

cloud landing zones) Manage incident response for critical infrastructure events; lead post-mortems and remediation Collaborate with infrastructure teams to build monitoring, alerting, and observability stacks that surface security signals Required Experience & Skills Over 5 years of experience in network engineering, infrastructure architecture, or systems engineering roles Proven hands … technical and non-technical stakeholders Experience with infrastructure-as-code tools (Terraform, CloudFormation, ARM) and configuration management (Ansible, etc.) Proficiency with network monitoring and observability tools (e.g., Splunk, Datadog, New Relic, Elasticsearch, Prometheus, RSA NetWitness, Tenable) Strong incident response and troubleshooting background; comfort operating in high-pressure environments Experience mentoring ...

configuration, ongoing maintenance, upgrade and retirement of the AI models in use by the team, working with ML Infrastructure Engineers on gateway, serving and observability Monitor AI usage and cost across our applications, identify edge cases and failure modes, and improve system behaviour and reliability Work with teams across Sales … LangChain/LangGraph, provider agent SDKs or similar), and an informed view of when to use them and when not Experience with evaluation and observability tooling such as MLflow, LangSmith or Arize Experience configuring agentic coding assistants for a team, with shared instructions, skills and workflows Solid grounding in machine ...

whole, with a clear path to shaping platform-level decisions at Staff level. Embed DataOps best practices across the team: CI/CD, testing, observability, data drift monitoring, and incident response using tools like Grafana and Datadog. Collaborate with ML engineers and data scientists to productionise models and agentic tooling … systems and an eagerness to build expertise in stream processing technologies such as Apache Flink, Kafka, or Spark. (Nice to have: ClickHouse.) Familiarity with observability tooling such as Grafana or Datadog, and a good instinct for keeping systems healthy and well-monitored. Active engagement with the evolving AI/ ...

reach sanctioned targets.* Build CI/CD pipelines with integrated supply-chain security: SBOMs, image signing, artefact provenance, and automated policy gates.* Deliver comprehensive observability - logs, metrics, distributed traces, and cost telemetry - across long-running, non-deterministic agent workloads.* Build evidence-capture pipelines: immutable audit trails, artefact retention, and reproducible … egress control, network policy, and segmentation in cloud-native environments.* Strong CI/CD engineering skills and experience embedding security controls into delivery pipelines.* Observability expertise across logging, tracing, and metrics, including designing for auditability and evidence retention.* A security-first mindset with the judgement to balance researcher velocity against ...

where appropriate. Write evaluations, instrument agent behaviour, and ensure failure modes are visible and recoverable, using automated functional and non-functional tests, trace-level observability, red-team scenarios and measures for quality, groundedness, latency and cost. Build the interfaces through which finance users review, approve, override and evidence agent actions … agent frameworks, including embeddings, vector or graph retrieval, prompt and configuration management, and integration with enterprise data or services. Practical experience with evaluation, observability and LLMOps or AgentOps, including versioning, monitoring, release and rollback, and analysis of quality, latency and cost. Understanding of secure enterprise integration and sensitive-data handling ...

reach sanctioned targets. Build CI/CD pipelines with integrated supply-chain security: SBOMs, image signing, artefact provenance, and automated policy gates. Deliver comprehensive observability - logs, metrics, distributed traces, and cost telemetry - across long-running, non-deterministic agent workloads. Build evidence-capture pipelines: immutable audit trails, artefact retention, and reproducible … egress control, network policy, and segmentation in cloud-native environments. Strong CI/CD engineering skills and experience embedding security controls into delivery pipelines. Observability expertise across logging, tracing, and metrics, including designing for auditability and evidence retention. A security-first mindset with the judgement to balance researcher velocity against ...

data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated ...

data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated ...

reach sanctioned targets. Build CI/CD pipelines with integrated supply-chain security: SBOMs, image signing, artefact provenance, and automated policy gates. Deliver comprehensive observability - logs, metrics, distributed traces, and cost telemetry - across long-running, non-deterministic agent workloads. Build evidence-capture pipelines: immutable audit trails, artefact retention, and reproducible … egress control, network policy, and segmentation in cloud-native environments. Strong CI/CD engineering skills and experience embedding security controls into delivery pipelines. Observability expertise across logging, tracing, and metrics, including designing for auditability and evidence retention. A security-first mindset with the judgement to balance researcher velocity against ...

data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated ...

data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector Experience Regulated ...

reach sanctioned targets. Build CI/CD pipelines with integrated supply-chain security: SBOMs, image signing, artefact provenance, and automated policy gates. Deliver comprehensive observability - logs, metrics, distributed traces, and cost telemetry - across long-running, non-deterministic agent workloads. Build evidence-capture pipelines: immutable audit trails, artefact retention, and reproducible … egress control, network policy, and segmentation in cloud-native environments. Strong CI/CD engineering skills and experience embedding security controls into delivery pipelines. Observability expertise across logging, tracing, and metrics, including designing for auditability and evidence retention. A security-first mindset with the judgement to balance researcher velocity against ...

/or AWS CDK Experience with RDS or DynamoDB Knowledge of CI/CD, Git-based workflows and DevOps practices Experience with monitoring and observability tools such as Grafana, Prometheus and CloudWatch Exposure to unit and integration testing Robert Half Ltd acts as an employment business for temporary positions ...

security, architecture, data engineering, and product teams to convert operational problems into reusable graph-powered capabilities. Own technical design reviews, coding standards, model validation, observability, performance tuning, security controls, documentation, and production-readiness gates. Mentor data scientists and engineers while remaining accountable for prototypes, reference implementations, critical code, troubleshooting … vocabularies. GenAI and GraphRAG: LLM-based extraction, retrieval orchestration, agent/tool integration, prompt design, evaluation, grounding, guardrails, explainability, and evidence traceability. MLOps and observability: Experiment tracking, model versioning, deployment, monitoring, drift and quality checks, auditability, access controls, secrets management, and cost/performance management. Security Knowledge Graph Engineering Expectations ...

Windows Server administration MS SQL Server (standalone and AWS RDS) Active Directory/identity integration IIS and .NET application hosting PowerShell scripting and automation Observability & Operations Monitoring and alerting platforms (Datadog, CloudWatch, etc.) Logging and incident response tooling Qualifications What We’re Looking For Extensive experience in DevOps, Cloud Engineering … production Experience with AWS Systems Manager (SSM) for patching and automation Exposure to containerisation (Docker/Kubernetes) Experience with Datadog or OpenTelemetry-based observability Understanding of FinOps and cloud cost optimisation What Makes You Successful You prioritise automation, reliability, and repeatability in everything you build You take ownership of systems ...

across LLM platforms, orchestration frameworks, vector stores, and agentic workbenches; design multi-model routing strategies to avoid single-provider lock-in Embed AI governance, observability, and guardrail design as first-class architectural concerns — audit logging, human-in-the-loop escalation, adversarial testing, and compliance controls — not retrofitted after deployment Commerce … retrieval architectures and embedding pipelines in production (semantic search, RAG) Experience designing AI governance frameworks: auditability, HITL, red teaming, compliance controls AgentOps/LLMOps: observability, tracing, and model evaluation in production Commerce stack integration: OMS, PIM, DAM, CRM, payments, and fulfilment systems Proficiency in Python, agent frameworks, vector databases, APIs ...

Digital Services work across a modern technology landscape that includes .NET Core, ASP.NET MVC, REST APIs, React, Next.js, design systems and reusable component development, observability and OpenTelemetry, Microsoft Azure, Infrastructure as Code (IaC), and Headless CMS platforms. The technologies used will vary across teams and services, providing opportunities to apply … across a modern technology ecosystem including: .NET Core and ASP.NET MVC REST APIs and integrations React and Next.js Design systems and reusable component development Observability, monitoring, and OpenTelemetry Infrastructure as Code (IaC) Headless CMS platforms Candidates are not expected to have experience across all technologies listed but should be able ...

third‐party systems. Collaborating closely with other technical leads, platform engineers, QA, and product teams, you will follow best practices in software design, observability, security, and DevOps principles. You will also contribute to L3 support activities, ensuring the stability and reliability of production systems. This role demands a proactive, curious ...

services such as Microsoft Copilot, Azure AI Foundry, Copilot Studio, AI Agents, RAG services, and Agentic AI platforms. Establish development standards, governance, security controls, observability, and best practices. Collaborate with Database Engineering, Cloud, Security, Architecture, and AI teams. Mentor engineers and provide technical leadership for AI and automation initiatives. SKILLS ...

easy thing for humans and agents alike. Define, document and continuously evolve the engineering standards that apply across Defaqto Technology — code review, testing, branching, observability, security by design, documentation and definition of done. Hold the line on quality in a way teams welcome: coaching, pairing and reviewing rather than policing. … licensing, lineage, provenance and auditability enforced in the technology rather than asserted in a policy document. Sound distributed systems and cloud architecture judgement — resilience, observability, performance, cost and operability, not just diagrams. Excellent influencing and communication skills: you build consensus across teams and can hold your own with product, commercial ...

/CD and continuous training pipelines to accelerate the path from experiment to supported production deployment. In this role, you will implement comprehensive model observability, data versioning, and drift monitoring while ensuring robust security and governance controls. Additionally, you will partner closely with product, data science, and core infrastructure teams … building, operating, and automating production ML pipelines covering experiment tracking, model registries, artifact versioning, dataset management, and deployment workflows. Deep hands‐on experience implementing observability for ML systems, including monitoring inference availability, latency, throughput, GPU/resource utilization, and data or model drift. Strong background in reliability engineering, including defining ...

decisions. Desirable Skills Docker and Kubernetes. PostgreSQL, Redis or Elasticsearch. GraphQL. RabbitMQ or other messaging technologies. CI/CD pipelines and modern DevOps practices. Observability tooling such as Grafana, OpenTelemetry or Prometheus. Experience using AI-assisted development tools within the software development lifecycle. What's on Offer Hybrid working ...

model training, deployment, and monitoringUnderstanding of and experience with modern software development practices and tools (e.g. Agile, version control, automated testing, CI/CD, observability)Understanding of cloud platforms (e. g., AWS, Azure, GCP) and containerization technologies (e. g., Docker, Kubernetes)Flow Traders does not accept unsolicited resumes from ...