1 to 25 of 47 Observability Jobs in the South East

debugging, and RCA documentation. Cloud & DevOps: Exposure to AWS, GCP, or Azure, plus CI/CD pipelines, Docker/Kubernetes, and IaC tools. Ops mindset: Proficiency with monitoring/observability tools (Prometheus, Grafana, ELK, Splunk). Security awareness: Knowledge of secure coding practices and OWASP considerations in Java applications. Financial acumen: Able to manage budgets and optimise spend on tools More ❯

with CI/CD pipelines and tooling. Solid knowledge of Linux, networking, and cloud security best practices. Experience with scripting languages (Python, Bash, Go). Knowledge of monitoring/observability tools (Prometheus, Grafana, Stackdriver). Nice to Have: Google Professional Cloud DevOps Engineer or Architect certification. Experience with multi-cloud or hybrid cloud environments. Knowledge of service mesh technologies (Istio More ❯

S3, Aurora, and ElasticCache Proficient with CI/CD tools such as GitLab , GitHub Actions, or CircleCI Strong testing capabilities using JUnit , RestAssured , or similar frameworks Proactive with monitoring, observability, and system health Desirable Skills: Exposure to monitoring platforms like Datadog, Grafana, Prometheus , or PagerDuty Familiarity with Python scripting Experience with Kubernetes and deployment tools such as Helm Why Join More ❯

Java, Python, or similar). Hands-on experience building and maintaining CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, or similar). Strong understanding of monitoring, logging, and observability tools (e.g., AppInsights, ELK, Prometheus, Grafana). Solid knowledge of test-driven development and experience embedding TDD in automated delivery workflows. Experience working directly within software development teams to support 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 ❯

Collaborate with Agile teams to automate deployment, monitoring, and infrastructure management. Ensure platform and business application reliability and performance against strict SLAs and KPIs. Implement and maintain cloud-native observability stacks (Prometheus, Grafana, Loki, Tempo). Develop and maintain Infrastructure as Code (IaC) using tools like Kustomize or Helm. Manage CI/CD pipelines using Tekton and ArgoCD. Support and More ❯

Collaborate with Agile teams to automate deployment, monitoring, and infrastructure management. Ensure platform and business application reliability and performance against strict SLAs and KPIs. Implement and maintain cloud-native observability stacks (Prometheus, Grafana, Loki, Tempo). Develop and maintain Infrastructure as Code (IaC) using tools like Kustomize or Helm. Manage CI/CD pipelines using Tekton and ArgoCD. Support and More ❯

. Lead migration projects and modernisation of legacy systems. Ensure compliance with security and regulatory standards in sensitive industries. Provide senior-level support, troubleshooting, and performance monitoring with modern observability tools. Mentor and support junior engineers, collaborating with global teams. Required: Proven full-stack development expertise Node.js, TypeScript, JavaScript, and C#, .NET. Hands-on experience with cloud platforms (Azure preferred More ❯

version control , automated testing , and modular design Supporting the development of a lakehouse architecture using Apache Iceberg Collaborating with product and business teams to deliver data-driven solutions Embedding observability and quality checks into data workflows Participating in code reviews, pair programming, and architectural discussions Gaining domain knowledge in financial data and sharing insights with the team What They're More ❯

across mission-critical systems. Your mission includes: Architecting and maintaining AWS cloud environments Managing Kubernetes clusters (plus Docker & Helm) Building CI/CD pipelines and automated deployment tools Driving observability with tools like CloudWatch, ELK, and Grafana Mentoring junior engineers and shaping DevOps best practices Ensuring security, compliance, and disaster recovery readiness What You Bring You're a tech-savvy More ❯

numpy, scipy, stats). Experience with at least one additional strongly typed programming language (C#, C++, Rust, Java, etc.). Strong background in Azure cloud application development, including security, observability, storage, and database resources. Solid understanding of data engineering tools and technologies (Databricks, PySpark, Lakehouses, Kafka). Advanced mathematics and quantitative analysis skills, ideally with hands-on experience in probabilistic More ❯

numpy, scipy, stats). Experience with at least one additional strongly typed programming language (C#, C++, Rust, Java, etc.). Strong background in Azure cloud application development, including security, observability, storage, and database resources. Solid understanding of data engineering tools and technologies (Databricks, PySpark, Lakehouses, Kafka). Advanced mathematics and quantitative analysis skills, ideally with hands-on experience in probabilistic More ❯

to for guidance. Your day-to-day will include: ??? Designing and delivering Linux-based infrastructures for enterprise clients. ? Driving automation with Terraform, Ansible, and Git . ?? Enhancing monitoring/observability with Zabbix and other tools. ?? Acting as a consultant and advisor - translating client needs into technical reality. ?? Mentoring junior engineers and fostering a collaborative learning culture. ?? Collaborating across cloud (AWS More ❯

to for guidance. Your day-to-day will include: ??? Designing and delivering Linux-based infrastructures for enterprise clients. ? Driving automation with Terraform, Ansible, and Git . ?? Enhancing monitoring/observability with Zabbix and other tools. ?? Acting as a consultant and advisor - translating client needs into technical reality. ?? Mentoring junior engineers and fostering a collaborative learning culture. ?? Collaborating across cloud (AWS More ❯

AWS Public Cloud infrastructure and implementation of IaC using Terraform. The role will work closely with the SRE and Engineering teams to ensure that the Cloud environment has sufficient observability and is appropriately managed.Skills and experience required: Strong technical operational skills in supporting AWS Cloud Hosted environments, and at least 3 years in an Infrastructure support role Strong understanding of More ❯

AWS Public Cloud infrastructure and implementation of IaC using Terraform. The role will work closely with the SRE and Engineering teams to ensure that the Cloud environment has sufficient observability and is appropriately managed.Skills and experience required: Strong technical operational skills in supporting AWS Cloud Hosted environments, and at least 3 years in an Infrastructure support role Strong understanding of More ❯

environments. Relevant Skills: Experience working in Agile environments Strong understanding of Site Reliability Engineering (SRE) principles Familiarity with Azure DevOps for CI/CD and pipeline management Knowledge of observability tools: Prometheus, Grafana, Loki, Tempo Experience with Infrastructure as Code: Helm, Kustomize Hands-on experience with Tekton and ArgoCD Ability to support and troubleshoot OpenShift Operators (ServiceMesh, ODF, ACS, ACM 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 ❯

backend services/databases. Experience with TDD and testing frameworks such as Jest and Pact. Knowledge of CI/CD pipelines (ideally GitHub Actions). Hands-on experience with observability/monitoring tools (e.g., DataDog). A proactive, problem-solving mindset with the ability to work both independently and collaboratively. Senior Software Engineer Location: London (Hybrid 2 Days a week More ❯

for a sharp-minded Site Reliability Engineer to join our cloud-native mission in Azure. If you thrive in Agile teams, live for automation, and know your way around observability stacks and CI/CD pipelines - this is your playground. What you'll be doing: Automating deployment, monitoring & infrastructure with precision Owning platform reliability, performance & SLAs Building IaC with Helm More ❯

availability, secure deployments, and efficient agent orchestration using AKS. You will create and maintain CI/CD pipelines for Azure services, Semantic Kernel agents, manage Kubernetes clusters, and integrate observability tools to monitor system health and performance. You'll also ensure alignment with enterprise-grade security practices, including zero trust principles, identity-aware routing, and integration with Azure API Management More ❯

production. Deploy, maintain, and optimise machine learning services within a cloud environment (AWS). Recommend and implement prompt management tools and provide expertise in prompt engineering. Introduce and manage observability, monitoring, and evaluation frameworks for ML and AI services. Enable auto-evaluation of prompts and models against domain-specific requirements. Build Python-based microservices, data pipelines, and serverless functions. Collaborate More ❯

designed infrastructure that scales without slowing anyone down. Tame complex LLM infrastructure (real-time usage, flaky providers, token routing - the lot). Raise the quality bar across the board: observability, auth, reliability, and more. This isn't a role for passengers. It's for engineers who love ambiguity, thrive under pressure, and see infrastructure as a multiplier. What We're More ❯

concerns and driving service excellence. Communicate effectively with internal and external stakeholders, providing insights and updates on service health and operational performance. Continuous Improvement Lead initiatives to increase automation, observability, and operational resilience. Stay abreast of industry trends, emerging technologies, and best practices, fostering a culture of continuous learning within the team. Requirements Proven experience in IT Service Operations, ideally More ❯

teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship More ❯