1 to 25 of 29 Permanent Observability Jobs in the Thames Valley

processes 🧠 What We’re Looking For: Proven experience in DevOps roles within agile environments Strong scripting skills (Python, Bash, etc.) Hands-on experience with containerization (Docker, Kubernetes) Familiarity with observability tools (Prometheus, Grafana, ELK) Excellent problem-solving and communication skills ✅ Bonus Points: Experience with security and compliance in cloud environments Knowledge of serverless architecture Previous work in fintech, e-commerce More ❯

team development Unblock delivery challenges with pragmatic technical decision-making Champion engineering best practices, including TDD, CI/CD, code reviews, pair programming, and GitOps Promote sustainable approaches to observability, SRE, and DevSecOps in production systems Act as a trusted point of contact for both internal and client-facing technical discussions Key Skills & Experience Proficiency in Java, Python, Go, JavaScript More ❯

and services. What You'll Be Doing: Architecting and evolving AWS infrastructure Deploying and managing Kubernetes clusters (Helm, Docker) Automating CI/CD pipelines and infrastructure with Terraform Building observability solutions (CloudWatch, ELK, Grafana) Driving performance, security, and cost-efficiency Mentoring junior engineers and influencing DevOps strategy What You'll Bring: Strong AWS and Infrastructure as Code experience Deep knowledge More ❯

with DevOps teams to integrate Elastic into CI/CD, automation, and cloud environments. Manage client expectations and ensure effective stakeholder communication. Stay up to date with Elastic and observability best practices. Tech Skills: Extensive hands-on experience with the Elastic Stack (Elasticsearch, Kibana, Logstash, Beats, etc.) . Familiarity with DevOps practices and tools (CI/CD, automation, infrastructure-as More ❯

in the team Contribute to solution architecture and strategic technical direction Build, integrate, and maintain REST APIs and backend services Champion best practices in software quality, CI/CD, observability, and DevOps Collaborate with cross-functional teams including Product, QA, and DevOps Optionally take on people management responsibilities for engineers Stay updated with emerging backend and cloud technologies Key Skills More ❯

Apache Airflow for orchestrating complex data workflows and ensuring reliable execution. Understanding of cloud security and governance practices including IAM, KMS, and data access policies. Experience with monitoring and observability tools such as CloudWatch. Experience working in Agile/Scrum environments, participating in sprint planning, retrospectives, and backlog grooming. Good to Have : Exposure to Azure data services such as Azure More ❯

pipelines, monitoring, and infrastructure provisioning. Collaborate with developers and engineers to streamline deployments and workflows. Manage AWS services effectively and efficiently. Promote best practices in Infrastructure as Code (IaC), observability, and DevSecOps. Experience & Skills Required Active SC Clearance – mandatory requirement. Strong hands-on experience with AWS services. Proficiency in Terraform and IaC principles. Solid understanding of CI/CD pipelines More ❯

automation, scalability, and high reliability. A strong working knowledge of Microsoft Azure is essential. The role involves daily coding, technical leadership across orchestration, CI/CD pipelines, cloud services, observability, and security-working alongside site reliability, onboarding, architecture, and delivery functions. You're expected to scale impact through others by upskilling team members, hiring where needed, and championing platform engineering More ❯

automation, scalability, and high reliability. A strong working knowledge of Microsoft Azure is essential. The role involves daily coding, technical leadership across orchestration, CI/CD pipelines, cloud services, observability, and security-working alongside site reliability, onboarding, architecture, and delivery functions. You're expected to scale impact through others by upskilling team members, hiring where needed, and championing platform engineering More ❯

day-to-day and strategic decision making.You will be a hands-on and customer focused engineering servant-leader. You will be comfortable moving across orchestration, automation, pipelines, cloud services, observability and security domains (even if you are not an expert in them all). A non-negotiable is experience and familiarity with Microsoft Azure.You will play your part in operating More ❯

support for operational issues and ensure platform reliability. Continuous Improvement & Automation Automate workflows to reduce manual intervention and increase efficiency. Contribute to infrastructure-as-code and DevOps pipelines. Monitoring, Observability & Security Develop proactive monitoring strategies and support security best practices. Participate in incident response, threat simulation, and operational runbooks. Troubleshooting & Collaboration Provide 3rd line support, collaborating with 1st and 2nd More ❯

neuroscience, and clinical datasets Build a unified feature store to serve ML training and downstream biological analysis Develop scalable storage, ingestion, and validation systems with a focus on robustness, observability, and versioning Collaborate with ML researchers and biologists to translate raw data into actionable insights and high-quality training data Scale distributed systems using Kubernetes, Terraform, and orchestration tools such More ❯

or strong interest in learning) cloud-native tooling: AWS (especially CloudWatch) Artifact Management (e.g., Artifactory, CodeArtifact) Infrastructure as Code with Terraform Monitor test metrics, troubleshoot failures, and improve system observability and debuggability. More ❯

to deepen your expertise in these areas. Nice-to-Have Experience (or Areas You’ll Grow Into) Working with distributed systems or IoT-style devices. Building internal tools or observability dashboards. Firmware, device protocols, or embedded development exposure. Systems performance optimisation or memory/latency tuning. Python frameworks like FastAPI or similar. Any work in telemetry, edge computing, or robotics. More ❯

to deepen your expertise in these areas. Nice-to-Have Experience (or Areas You’ll Grow Into) Working with distributed systems or IoT-style devices. Building internal tools or observability dashboards. Firmware, device protocols, or embedded development exposure. Systems performance optimisation or memory/latency tuning. Python frameworks like FastAPI or similar. Any work in telemetry, edge computing, or robotics. More ❯

to deepen your expertise in these areas. Nice-to-Have Experience (or Areas You’ll Grow Into) Working with distributed systems or IoT-style devices. Building internal tools or observability dashboards. Firmware, device protocols, or embedded development exposure. Systems performance optimisation or memory/latency tuning. Python frameworks like FastAPI or similar. Any work in telemetry, edge computing, or robotics. More ❯

to deepen your expertise in these areas. Nice-to-Have Experience (or Areas You’ll Grow Into) Working with distributed systems or IoT-style devices. Building internal tools or observability dashboards. Firmware, device protocols, or embedded development exposure. Systems performance optimisation or memory/latency tuning. Python frameworks like FastAPI or similar. Any work in telemetry, edge computing, or robotics. More ❯

to deepen your expertise in these areas. Nice-to-Have Experience (or Areas You’ll Grow Into) Working with distributed systems or IoT-style devices. Building internal tools or observability dashboards. Firmware, device protocols, or embedded development exposure. Systems performance optimisation or memory/latency tuning. Python frameworks like FastAPI or similar. Any work in telemetry, edge computing, or robotics. More ❯

to deepen your expertise in these areas. Nice-to-Have Experience (or Areas You’ll Grow Into) Working with distributed systems or IoT-style devices. Building internal tools or observability dashboards. Firmware, device protocols, or embedded development exposure. Systems performance optimisation or memory/latency tuning. Python frameworks like FastAPI or similar. Any work in telemetry, edge computing, or robotics. More ❯

for a DevOps Engineer with strong site reliability principles to join our Platform team. You’ll focus on maintaining and improving production reliability, automating operational tasks, and enhancing our observability stack. You’ll work closely with SREs, support engineers, release managers, and incident managers to ensure our systems meet SLIs, SLOs, and SLA targets. Key Responsibilities Maintain and optimise production … Proficient with AWS services relevant to production workloads (EKS, EC2, RDS/Aurora, S3, IAM). Infrastructure as Code with Terraform and configuration management with Ansible. Strong experience with observability tools (Grafana, Prometheus, Loki, Tempo). Understanding of SRE concepts (SLIs, SLOs, error budgets, capacity planning). Comfortable working in incident and problem management processes. Strong GitOps mindset for managing More ❯

practices in software development and deployment Implement best practice coding in relation to Development coding standards Provides direction and technical context for more junior developers Fosters a culture of observability across the engineering team. Helps teams across engineering use operational data to improve stability and performance of their applications. Maintain documentation and release notes Awareness of application security considerations Leads More ❯

automation, and container orchestration. You will be instrumental in shaping enterprise-ready cloud solutions by applying deep technical expertise in AWS alongside knowledge of multi-cloud environments, identity management, observability, and cost optimisation. Key Responsibilities Design and implement secure, scalable AWS cloud architectures Drive Infrastructure as Code (IaC) adoption using Terraform and CloudFormation Build, optimise, and automate CI/CD … GitHub Actions, and related tools Deploy and manage containerised solutions with Docker, Kubernetes, and Helm Implement strong security and access controls using IAM, Vault, and Secrets Manager Enhance platform observability using Prometheus, Grafana, and ELK Stack Collaborate with cross-functional teams to deliver robust, high-availability solutions Key Skills & Experience Extensive hands-on experience with AWS (Azure knowledge beneficial) Expertise … in Terraform, CloudFormation, and automation tooling Strong containerisation skills with Kubernetes, Docker, and related platforms Proven background in cloud security, IAM, and governance Solid understanding of monitoring and observability stacks Ability to influence architecture decisions and align solutions to best practices Desired Certifications AWS Certified Solutions Architect – Associate/Professional AWS Certified Security – Specialty HashiCorp Certified: Terraform Associate Kubernetes Certified More ❯

performing team of ML engineers. Combine ML with physics-based risk models (flooding, tropical cyclones, wildfires) to deliver grounded, high-impact solutions. Establish gold-standard practices for evaluation, deployment, observability, and maintainability in ML model development. Turn complex technical challenges into clear business outcomes for colleagues and customers. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics More ❯

in biotech, pharma, or AI-driven drug discovery Experience in both large organisations (with structured processes and metrics) and smaller/startup environments (delivering with limited resources) Knowledge of observability and reliability practices for product platforms Security or compliance experience Why Join? Be part of a world-class AI-first research environment shaping the future of drug discovery Work on More ❯

ETL, events, iPaaS). Define data contracts , lineage, and data quality SLAs ; implement RBAC and security controls. Lead data migration , cutover , and legacy decommissioning/archival . Stand up observability (SLO/SLI, monitoring, runbooks) and support run operations. Enable visualisation frameworks for decision-making. Partner with Enterprise Architecture to align to target state and standards. Support agentic/AI More ❯