26 to 50 of 169 Observability Jobs in London

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 ❯

scalability and reduce manual intervention. Operational Security, SRE & Assurance: Ensure security platforms are resilient, continuously monitored, and designed for 24x7 support and incident response readiness. Embed security telemetry and observability to enable proactive threat detection and automated response. Apply SRE principles to improve reliability, performance, and maintainability of security services. Lead platform health, patching automation, and vulnerability remediation workflows. Define 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 ❯

and Knative to ensure an effective and responsive infrastructure. Infrastructure as a Code (IAAC): Using Terraform and Terragrunt to manage resources across environments. Monitoring Tools: Prometheus, Grafana, and other observability tools to ensure system health and visibility. What You'll Gain Purpose: Use your skills to contribute to global sustainability goals through innovative technology. Collaboration: Be part of a leadership More ❯

Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout all processes. Participate in recruiting, mentoring, and developing a high-performing data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and More ❯

experience in Azure and GCP) Kubernetes (AWS EKS) and container infrastructure IAM and managing cloud identities at-scale Secure development and application of IAC solutions (Terraform, Helm) Cloud-native observability and management tools Development experience in Go, Python and Rust PREFERRED QUALIFICATIONS Bachelor's degree in computer science or a related field and/or candidates with equivalent job experience More ❯

Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout all processes. Participate in recruiting, mentoring, and developing a high-performing data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and More ❯

using modern, agile development practices like code review, TDD, CI/CD and pairing using tools like Git and GitHub. Experience of operationally managing software components once live, including; observability, logging, metrics, error reporting, debugging and live incident management. Experience of working with sensitive personal data. Competitive salary starting from £85,000 Generous Pension Scheme - We invest in your future 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 ❯

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 ❯

Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout all processes. Participate in recruiting, mentoring, and developing a high-performing data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and More ❯

Fabric, leveraging expertise in Azure Data Factory, Databricks, and other Azure services. Advocate for engineering best practices and ensure long-term sustainability of systems. Integrate principles of data quality, observability, and governance throughout all processes. Participate in recruiting, mentoring, and developing a high-performing data organization. Demonstrate pragmatic leadership by aligning multiple product workstreams to achieve a unified, robust, and More ❯

Familiarity with deploying and scaling ML models in the cloud, particularly with AWS and SageMaker Understanding of DevOps processes and tools: CI/CD, Docker, Terraform, and monitoring/observability Bonus: experience with vector databases, semantic search, or event-driven systems like Kafka Additional Information Were a community here that cares as much about your life outside work as how More ❯

and CI/CD workflows (GitLab CI). Write clean, production-grade code in Python (Scala is a bonus). Build infrastructure using Terraform, AWS CloudFormation, or SAM. Drive observability across the platform using Datadog or CloudWatch. Actively mentor Data Engineers and Associates, and lead technical discussions and design sessions. Key requirements: Must-Have: Strong experience with AWS services: Glue More ❯

Deploy machine learning models into performance Collaborate with ML teams to streamline training, deployment, and monitoring Build internal tools and dashboards (e.g., in React or Vue) for analytics and observability Own CI/CD pipelines and drive infrastructure automation What you'll bring 5+ years' experience (Terraform, Helm, etc.) Familiarity with cloud platforms like AWS, GCP, or Azure Bonus: Frontend 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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

Connectors. Certifications (Preferred): Splunk Core Certified Consultant, Architect, and Administrator. Splunk Enterprise Security Implementation Certified. Splunk SOAR Certified Automation Developer and Administrator. Accredited Splunk Cloud Migration Consultant. Cribl Certified Observability Engineer. Relevant security and monitoring certifications such as GIAC Continuous Monitoring and Security Operations (GMON). More ❯