1 to 25 of 82 Observability Jobs in the South East

automation) Clear understanding of Infrastructure as Code Experience with Helm/Kustomize/Kapitan or similar deployment tools Experience with Grafana/Prometheus/Splunk or similar monitoring/observability technologies Ability to independently deliver solutions and work effectively in cross-functional teams Start date is ASAP for the DevOps Engineer The Senior DevOps Engineer will be responsible for: Working More ❯

automatically deploy updates and fixes into the production environment. Maintenance, troubleshooting: Perform routine application maintenance to ensure the production environment runs smoothly. Develops maintenance requirements and procedures. Monitoring and Observability: Monitors servers, applications and clusters for failures, system crashes and resource usage, etc using tools like Prometheus, Grafana or Elastic Stack (Elastic Search, Logstash and Kibana). FURTHER DUTIES WILL More ❯

automatically deploy updates and fixes into the production environment. Maintenance, troubleshooting: Perform routine application maintenance to ensure the production environment runs smoothly. Develops maintenance requirements and procedures. Monitoring and Observability: Monitors servers, applications and clusters for failures, system crashes and resource usage, etc using tools like Prometheus, Grafana or Elastic Stack (Elastic Search, Logstash and Kibana). FURTHER DUTIES WILL More ❯

Jira, Team City Expert level knowledge of DevOps tools like Bitbucket/GitHub, Sonar Cube, CAST, Team City/Jenkins/Azure DevOps Expert level knowledge of telemetry and observability platforms like ELK stack, Grafana, Kibana, Azure Application Insights, AWS Cloud Watch etc., Scripting languages preferably python, PowerShell Database technologies preferably MS SQL Server, Postgres SQL Infrastructure as code – AWS More ❯

Jira, Team City Expert level knowledge of DevOps tools like Bitbucket/GitHub, Sonar Cube, CAST, Team City/Jenkins/Azure DevOps Expert level knowledge of telemetry and observability platforms like ELK stack, Grafana, Kibana, Azure Application Insights, AWS Cloud Watch etc., Scripting languages preferably python, PowerShell Database technologies preferably MS SQL Server, Postgres SQL Infrastructure as code – AWS More ❯

Jira, Team City Expert level knowledge of DevOps tools like Bitbucket/GitHub, Sonar Cube, CAST, Team City/Jenkins/Azure DevOps Expert level knowledge of telemetry and observability platforms like ELK stack, Grafana, Kibana, Azure Application Insights, AWS Cloud Watch etc., Scripting languages preferably python, PowerShell Database technologies preferably MS SQL Server, Postgres SQL Infrastructure as code – AWS 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 ❯

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 ❯

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 ❯

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 ❯

as-Code (IaC): Terraform, Pulumi Containerization & Orchestration: Docker, Kubernetes (GKE/AKS) Networking & Isolation: VPCs, private endpoints, firewall rules, network policies Data Sandboxing: Synthetic datasets, masking, DLP tooling Monitoring & Observability: Prometheus, Grafana, Cloud Logging More ❯

financial institution with soaring profits - my client is modernising platforms, embracing AI, and driving automation at scale. We're hiring a Lead Site Reliability Engineer (SRE) to drive reliability, observability, and performance across our Azure cloud infrastructure. You'll work in a modern engineering environment where we live by "you build it, you run it", focused on automation, scale, and More ❯

with IAM engineering experience across authentication, authorisation, single sign-on, multi-factor authentication, identity lifecycle management, OAuth2.0, OpenID Connect, SAML and policy management Knowledge of Site Reliability Engineering, automation, observability, incident management, resilience, disaster recovery, high availability, documentation IAM engineering experience, authentication, authorisation, single sign-on, multi-factor authentication, user lifecycle management, hands on CI/CD approaches and technologies 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 ❯

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 ❯

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 ❯

. 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 ❯

models. Desirable: Master's degree or DAMA certification (CDMP).Proven expertise with Workday product and data integrations. Experience across different database architectures (Lakehouse, Relational, Document Store). Familiarity with observability tools, BI platforms (Power BI), or Agile methods. Knowledge of advanced analytics, data science, or NLP techniques. Soft Skills Strong stakeholder management and communication skills, able to bridge technical and More ❯

mindset, from commit to production Collaborate directly with end-users and internal teams to understand needs and deliver value Operate across multi-cloud environments (AWS, GCP, Azure) Drive system observability and reliability with tools like Datadog Help shape our engineering culture by mentoring, sharing knowledge, and encouraging best practices Push boundaries, challenge assumptions, and ensure delivery of meaningful solutions Tech More ❯

real-world problems, particularly in scientific and R&D contexts. Key Responsibilities Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability). Collaborate with cross-functional teams to translate business problems into ML solutions. Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing. Optimise model More ❯

real-world problems, particularly in scientific and R&D contexts. Key Responsibilities Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability). Collaborate with cross-functional teams to translate business problems into ML solutions. Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing. Optimise model More ❯

real-world problems, particularly in scientific and R&D contexts. Key Responsibilities Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability). Collaborate with cross-functional teams to translate business problems into ML solutions. Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing. Optimise model More ❯

real-world problems, particularly in scientific and R&D contexts. Key Responsibilities Design, build, and maintain robust ML pipelines and services using modern engineering practices (CI/CD, testing, observability). Collaborate with cross-functional teams to translate business problems into ML solutions. Develop and deploy models for tasks such as classification, regression, recommendation, and natural language processing. Optimise model More ❯

using GCP-native tools and technologies.* Develop capabilities which allow Platform Engineering teams to operate with a DevOps ethos.* Collaborate with development teams to optimize application performance, reliability, and observability on GCP.* Implement and enforce Service Level Objectives (SLOs) and Error Budgets to ensure a balance between reliability and feature development.* Develop and maintain a comprehensive monitoring and alerting platform More ❯

test solutions and automation frameworks using Python, Terraform, and modern cloud-native practices. Contribute to the platform’s CI/CD pipeline by integrating automated testing, resilience checks, and observability hooks at every stage. Lead initiatives that drive testability, platform resilience, and validation as code across all layers of the ML platform stack. Collaborate with engineering, MLOps, and infrastructure teams More ❯