51 to 75 of 143 Observability Jobs in the South East

release metrics, environment promotion models and release health practices. Your experience should cover automated testing, deployment orchestration, blue/green or ring-based deployments, observability and monitoring within modern SaaS environments. This is a highly visible role involving release management, DevOps, platform tooling, governance, coaching and organisational change. ...

release metrics, environment promotion models and release health practices. Your experience should cover automated testing, deployment orchestration, blue/green or ring-based deployments, observability and monitoring within modern SaaS environments. This is a highly visible role involving release management, DevOps, platform tooling, governance, coaching and organisational change. ...

Security: Configure and maintain automated pipelines in GitHub Actions or equivalent, integrate Snyk security scanning and manage delivery activity through JIRA. INDIVIDUAL RESPONSIBILITIES: Observability: Instrument applications using the LGTM stack, or equivalent logging, metrics and tracing tools, to support reliability and rapid incident response. Database Management: Design and optimise PostgreSQL … Snyk. Azure: Proven experience deploying, managing and securing applications on Microsoft Azure. Databases: Confident modelling, querying and tuning PostgreSQL and Microsoft SQL Server databases. Observability: Experience implementing logs, metrics and tracing through the LGTM stack or equivalent technologies such as ELK, Prometheus or OpenTelemetry. CI/CD: Skilled in creating ...

platform strategy. In this role, you'll ensure our development platform and tools let engineers focus on innovation instead of infrastructure. You'll promote observability best practices and automate resolution of recurring issues, working closely with software engineering teams to support security, availability, and performance. Responsibilities include triaging issues, collaborating … implement, and maintain systems for high availability, scalability, and performance. Monitor and improve application reliability through proactive measures and incident response. Develop and maintain observability solutions (metrics, logging, tracing). Participate in on-call rotations and drive root cause analysis for incidents. Collaboration & Continuous Improvement Partner with engineering teams ...

Have: Practical experience managing large-scale Kubernetes clusters; certifications in Kubernetes are a strong bonus Hands-on familiarity with the Grafana Observability Suite, including tools like Loki, Mimir, and Tempo Background in administering or developing with popular monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck Experience using … with tools such as Jenkins, GitLab CI/CD, or CircleCI Strong understanding of containerization (e.g., Docker, Kubernetes) and microservices architecture Skilled in using observability and monitoring tools such as Prometheus, Grafana, ELK stack, or AWS CloudWatch Excellent analytical and troubleshooting abilities, especially within complex distributed systems Proven experience handling ...

/or analytics Client-facing or consulting experience Strong SQL and Python skills Experience with AWS, GCP or Azure Understanding of data quality, governance, observability and dimensional modelling ...

deliver production GenAI and multi-agent systems Build agentic workflows, RAG solutions, tool use and multi-step orchestration Define evaluation strategies and implement AI observability Design secure AWS deployment architectures Build CI/CD pipelines and production-ready AI applications Lead technical discussions with clients and senior stakeholders Mentor engineers ...

networking, RBAC & private endpointsInfrastructure as Code – Pulumi, Terraform or BicepCI/CD – GitHub Actions and/or Azure DevOpsDatabricks workspace administration, Unity Catalog & governanceMonitoring & observability – Azure Monitor, Log Analytics & KQLPython/PySpark and scalable data pipelinesSecurity, access management, automation and platform operationsWe're particularly interested in engineers with experience across ...

governance, quality and operational resilience Build data foundations capable of supporting AI, ML, vector search and advanced analytics Establish strong DataOps, CI/CD, observability and data quality practices Lead and develop a high-performing data engineering function Partner with Product, Engineering, Data Science and senior leadership to turn data ...

Product teams to deliver scalable solutions Contribute to the development of greenfield machine learning products and capabilities Drive best practices across MLOps, monitoring, observability, and model lifecycle management Your Skills & Experience Strong commercial experience within Machine Learning Engineering, Data Science, or MLOps Experience deploying, monitoring, and maintaining machine learning models ...

large-scale products in complex organisations involving multiple teams and stakeholders. Strong understanding of modern mobile engineering practices, including automated testing, CI/CD, observability, performance and production reliability. Bachelor's degree in Computer Science, Engineering or a related discipline, or equivalent professional experience. What Success Looks Like You remain ...

delivery partners. You HaveExperience designing and delivering AI, automation or operational intelligence solutions within complex enterprise environments. Strong understanding of IT operations, cloud platforms, observability, monitoring and service management practices. Knowledge of AI technologies and their practical application to operational challenges. Experience engaging with senior stakeholders and translating business requirements ...

create, debug, and maintain code for components. Remain current in skills by investing time in training resources to improve product availability, reliability, efficiency, observability, and performance. Participate in Production Support rota covering weekdays and week ends. This is a hybrid position. Expectation of days in the office will be confirmed ...

generative AI, machine learning, intelligent automation, or agentic systems. Deep understanding of production-grade and scalable AI system considerations, including scalability, latency, reliability, security, observability, evaluation, lifecycle management, and cost optimization. Experience creating reference architectures, reusable patterns, technical standards, architecture decision records, and engineering guardrails. Experience in creating OKRs, ROIs ...

performant infrastructure that underpins critical public-sector services. Youll combine your background in AWS, DevOps, cloud engineering, and automation with a focus on reliability, observability, and scalability. Youll also work with event driven technologies, identity and access management, and data platforms, ensuring their orchestration solutions are resilient, secure, and future … PostgreSQL, Elasticsearch, and MongoDB Configure and support identity and access management (IdAM) solutions such as Keycloak Monitor system health, performance, and capacity using modern observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) Champion DevSecOps practices, embedding security and compliance into every stage of delivery Automate deployment, scaling, and recovery processes to improve ...

performant infrastructure that underpins critical public-sector services. Youll combine your background in AWS, DevOps, cloud engineering, and automation with a focus on reliability, observability, and scalability. Youll also work with event driven technologies, identity and access management, and data platforms, ensuring their orchestration solutions are resilient, secure, and future … PostgreSQL, Elasticsearch, and MongoDB Configure and support identity and access management (IdAM) solutions such as Keycloak Monitor system health, performance, and capacity using modern observability stacks (Prometheus, Grafana, ELK, OpenTelemetry) Champion DevSecOps practices, embedding security and compliance into every stage of delivery Automate deployment, scaling, and recovery processes to improve ...

efficient application deployment and operational excellence. You'll work across a broad technology stack spanning Azure, Kubernetes, Infrastructure as Code, CI/CD and observability, helping to bridge the gap between infrastructure and software engineering. Key Responsibilities Support, maintain and enhance Azure-based cloud platforms and services. Manage and operate … Infrastructure as Code using Terraform. Collaborate closely with software engineering teams to improve platform adoption and developer enablement. Implement and enhance monitoring, logging and observability capabilities. Support reliability, resilience and operational excellence initiatives. Contribute to engineering standards, reusable platform services and automation frameworks. Investigate and resolve complex platform, deployment ...

Rancher-managed Kubernetes environments. Manage artefact repositories and release workflows using JFrog Artifactory. Develop tooling, automation and integrations using Python. Implement monitoring, alerting and observability solutions using Grafana, Prometheus and OpenTelemetry. Promote engineering best practices, including Conventional Commits and robust release management processes. Troubleshoot platform, infrastructure and deployment issues across … Packer Containerisation & Orchestration Docker Kubernetes Rancher Helm CI/CD & GitOps GitLab CI/CD ArgoCD JFrog Artifactory Conventional Commits Automation & Development Python Monitoring & Observability Grafana Prometheus OpenTelemetry Desirable Experience Experience within secure or government environments. Exposure to platform engineering practices. DevSecOps and security tooling experience. Experience operating large-scale ...

Have: Practical experience managing large-scale Kubernetes clusters; certifications in Kubernetes are a strong bonus Hands-on familiarity with the Grafana Observability Suite, including tools like Loki, Mimir, and Tempo Background in administering or developing with popular monitoring and automation tools such as Splunk, Datadog, PagerDuty, or Rundeck Experience using … with tools such as Jenkins, GitLab CI/CD, or CircleCI Strong understanding of containerization (e.g., Docker, Kubernetes) and microservices architecture Skilled in using observability and monitoring tools such as Prometheus, Grafana, ELK stack, or AWS CloudWatch Excellent analytical and troubleshooting abilities, especially within complex distributed systems Proven experience handling ...

operational excellence by proactively identifying patterns in system failures, operational metrics, and data; designing and implementing systematic improvements to system reliability, performance, and observability Evaluate and lead vendor/technology assessments - leading sessions with external vendors, startups, and internal teams to drive outcomes-oriented evaluation of architectural designs, technical credentials … automation Frameworks on Kubernetes, including authoring reconciliation loops, admission controllers, webhooks, and custom controllers; strong understanding of Kubernetes internals, API machinery, RBAC, multi-tenancy, observability, and operational best practices for production environments. In-depth Google Cloud development experience -architecting, building, deploying, and operating production cloud-native workloads using core ...

demonstrate expertise across: Enterprise backup and recovery Disaster recovery and cyber resilience Security vulnerability management Infrastructure risk remediation Cloud and platform modernisation Observability, monitoring and operational readiness Experience working within highly regulated environments such as financial services, insurance or other governance-led organisations would be advantageous. Reasonable Adjustments: Respect ...

demonstrate expertise across: Enterprise backup and recovery Disaster recovery and cyber resilience Security vulnerability management Infrastructure risk remediation Cloud and platform modernisation Observability, monitoring and operational readiness Experience working within highly regulated environments such as financial services, insurance or other governance-led organisations would be advantageous. Reasonable Adjustments: Respect ...

operating costs in production systems Desirable skills include: Qdrant, Weaviate or pgvector Neo4j, GraphRAG and Cypher MCP server development LangSmith, LangFuse or similar observability platforms Fine-tuning, embedding model selection or open-weight model deployment Experience working with complex document-heavy environments BENEFITS The successful AI/ML Engineer will ...

Strong candidates may also bring experience in: Fine-tuning LLMs for specific personas, communication styles or domain-specific use cases. LangSmith or similar LLM observability and testing platforms. Voice synthesis, voice cloning or emotion-conditioned audio generation. AI applications within digital media, content platforms or other customer-facing environments. Multimodal ...

Azure cloud platforms running reliably, securely and efficiently. Investigating technical issues, identifying root causes and putting long-term solutions in place. Improving monitoring and observability using tools such as Grafana, Prometheus, Azure Monitor and OpenTelemetry . Working with Kubernetes and Azure Kubernetes Service (AKS) to support and improve containerised applications. … production cloud environments. Kubernetes: Experience working with containerised applications, ideally using AKS. Infrastructure as Code: Experience with Terraform, Bicep or ARM templates. Monitoring and Observability: Knowledge of Grafana, Prometheus, Azure Monitor, OpenTelemetry or similar technologies, including building metrics, dashboards and alerts. Scripting and Automation: Good skills in PowerShell, Python, C# ...