1,151 to 1,175 of 3,228 Observability Jobs in the UK

Working closely with infrastructure, networking, architecture, and security teams Enabling Data Engineers to build and deploy scalable data solutions efficiently Driving platform improvements, monitoring, observability, and automation initiatives Supporting release management, CI/CD practices, and infrastructure-as-code frameworks Investigating performance issues, troubleshooting technical challenges, and implementing sustainable solutions … platform architecture, scalability, performance optimisation, and operational support Understanding of CI/CD, Azure DevOps, Git, and deployment automation Experience with monitoring, logging, observability, and incident management processes Knowledge of infrastructure-as-code approaches such as Terraform Scripting experience using technologies such as Python or PowerShell Ability to troubleshoot issues ...

services and modern lakehouse architectures.This is a hands-on engineering role. You'll be troubleshooting performance issues, validating recovery strategies, automating operational processes, improving observability and helping shape the future of our database estate.You will act as the team's database SME, working closely with Platform Engineers, Data Engineers … recovery and disaster recovery capabilitiesOwn restore testing and recovery readiness across critical platformsSupport high availability solutions and service resilience initiativesImplement proactive monitoring, alerting and observability for database servicesParticipate in incident response, problem management and post-incident reviewsDrive continual improvement through automation, root cause analysis and operational learningReduce operational toil through ...

that improve performance, developer experience, cost efficiency, or operational maturity. Owning and evolving core platform components, including CI/CD, testing strategies, environment management, observability, and infrastructure as code. Acting as the technical escalation point for complex, cross‐cutting platform issues and guiding teams toward robust, scalable solutions. Driving Snowflake … performance and cost optimisation, informed by real workloads and modelling patterns. Implementing and maturing data SLAs/SLOs, data observability, lineage, and quality frameworks to ensure trusted analytics at scale. Collaborating with data product and engineering teams to enable safe, scalable ingestion and well‐defined data contracts. Influencing how teams ...

with your team to identify comprehensive service level indicators and partner with stakeholders to establish reasonable service level objectives and error budgetsDesign and implement observability frameworks and alerting strategies, including white and black box monitoring, service level objective-based alerting, and telemetry collection to ensure proactive detection and responseServe … implementing resiliency best practicesFluency in at least one programming language such as Python, Java/Spring Boot, or .NETProficient knowledge and experience in observability, including white and black box monitoring, service level objective alerting, and telemetry collection across large-scale production environmentsProficiency with continuous integration and continuous delivery practices ...

guide developers, establishing best practices for data engineering on Azure and DatabricksParticipate in technical decision-making and review designs for scalability and maintainabilityImplement observability for critical pipelines and maintain quality assurance standardsEngage directly with stakeholders to ensure alignment on strategic platform initiativesRequirementsMinimum 8+ years of experience in data engineering, including … demonstrated SQL performance optimization experienceDeep understanding of Azure Data Platform services and cloud-native engineering patternsProven experience implementing data governance, quality management and observability frameworksAbility to manage complex data pipelines for batch and streaming use cases in mission-critical environmentsStrong communication and leadership skills to work with distributed teams ...

hands‐on role in ensuring it is reliable, scalable, and observable. You will help establish and mature SRE practices, focusing on: Monitoring and observability Reliability testing and capacity planning Toil reduction We offer a hybrid working arrangement with one day per week in our Milton Keynes office. Key Responsibilities: Support … Build dashboards, alerts, and runbooks to improve visibility Automate repetitive tasks to reduce operational toil Collaborate with cross-functional teams to enhance reliability and observability Support performance testing and capacity planning Proactively identify and prioritise reliability improvements Experience & Skills Required: Hands‐on experience with Azure Monitoring (Application Insights, Alerts, Action ...

deliver secure, resilient and scalable services for millions of customers. We're looking for a Site Reliability Engineer Lead to help strengthen reliability, observability and operational excellence across our Azure and Google Cloud Platform (GCP) environments. You'll lead a team of Site Reliability Engineers, helping to establish engineering standards … supports learning, collaboration and continuous improvement. Partner with Product Owners, Engineering Leads and platform teams to balance reliability, operational resilience and feature delivery. Use observability data, platform metrics and service insights to identify improvement opportunities and reduce operational risk. Lead incident and problem management activities, promoting effective root cause analysis ...

hands-on role in ensuring it is reliable, scalable, and observable. You will help establish and mature SRE practices, focusing on: Monitoring and observability Incident response Post-incident review Reliability testing and capacity planning Toil reduction Enabling development velocity We offer a hybrid working arrangement with one day per week … Build dashboards, alerts, and runbooks to improve visibility Automate repetitive tasks to reduce operational toil Collaborate with cross-functional teams to enhance reliability and observability Support performance testing and capacity planning Proactively identify and prioritise reliability improvements Experience & Skills Required: Hands-on experience with Azure Monitoring (Application Insights, Alerts, Action ...

design and development of React-based micro-frontend applications and shared UI frameworks. Own and drive system design and architecture decisions (scalability, resiliency, observability, security, and maintainability). Design and build container-based, scalable backend services using Python (Fast API) and modern API patterns. Develops secure and high-quality production … skills Design and development of React-based micro-frontend applications and shared UI frameworks. Experience in system design and architecture decisions (scalability, resiliency, observability, security, and maintainability). Design and build container-based, scalable backend services using Python (FastAPI) and modern API patterns. Build and integrate services with ...

pairing and code review. Help define and evolve the target state architecture for the platform: service boundaries, data models, integration patterns, and reliability/observability standards. Use AI tooling (e.g.Claude and similar) as a force multiplier to accelerate discovery, prototyping, and implementation, while maintaining a high bar for code quality … room for the right tool for specific problems. Data: Postgres as a core relational store. APIs: gRPC and HTTP‐based services. Tooling: GitOps, IaC, observability tooling. You don’t need prior experience with every technology above, but you should be comfortable learning and working across this kind of stack. What ...

ongoing operation with limited supervisionHands-on experience with cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelinesSolid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offsExperience mentoring engineers through code … integrationContribute to technical designs, participate in design reviews, and identify risks, constraints, trade-offs, and alternative approachesMaintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on-call supportApply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue ...

Jinja2 Integrating network automation into CI/CD pipelines for reliable, repeatable deployments Creating APIs and self‐service tooling for engineering teams Implementing observability and telemetry solutions for performance and reliability Partnering with network, platform and security teams to deliver resilient, scalable systems Contributing to incident response and production reliability … Ansible, Terraform and Jinja2; also must have experience leveraging AI tools, such as Claude Code Familiarity with Docker and Kubernetes Exposure to monitoring, observability or telemetry in distributed systems Pragmatic problem solver who can operate in ambiguity and take ownership Comfortable working in collaborative, fast‐paced engineering teams Deep understanding ...

ensure quality is engineered into our products and platforms from the outset. You will work closely with engineering teams to improve system testability, automation, observability, and release confidence, while driving the adoption of modern engineering practices that enable the rapid delivery of secure, reliable and scalable software.As a senior member … Selenium, C#, Java, Azure DevOps, CI/CD pipelines, Postman, performance testing tools, and monitoring platforms.Working closely with the engineering community to improve testability, observability, and quality throughout the software development lifecycle.Mentoring and supporting Quality Engineers and wider engineering teams, helping to build capability and promote shared ownership of qualityWe ...

health monitoring Collaborate with compute, networking, and application teams to ensure storage solutions meet performance and reliability requirements Implement and improve storage-related observability, alerting, and incident response processes Evaluate and integrate new storage technologies, including cloud-based storage services (AWS S3, EBS, EFS, GCP Cloud Storage, Filestore, etc.) Ensure … language (Go, Rust, etc.) for automation and tooling development Experience with modern software development practices: version control, agile development, CI/CD Experience with observability in distributed systems (e.g., Elasticsearch, Logstash, Kibana, Datadog, Prometheus, Grafana) Experience working with cloud storage services across various cloud providers (AWS and GCP) Bachelor ...

ensure quality is engineered into our products and platforms from the outset. You will work closely with engineering teams to improve system testability, automation, observability, and release confidence, while driving the adoption of modern engineering practices that enable the rapid delivery of secure, reliable and scalable software. As a senior … C#, Java, Azure DevOps, CI/CD pipelines, Postman, performance testing tools, and monitoring platforms. Working closely with the engineering community to improve testability, observability, and quality throughout the software development lifecycle. Mentoring and supporting Quality Engineers and wider engineering teams, helping to build capability and promote shared ownership ...

solutions that solve real-world business challenges. You will bring deep expertise across modern full-stack technologies, distributed systems, cloud-native architectures, and observability, combined with hands-on experience developing enterprise-grade AI applications. You will design, build, and deploy intelligent AI agents, copilots, and automation solutions using Anthropic Claude … orchestration, evaluation loops, and human-in-the-loop controls. Enterprise integration: Integrate AI solutions with enterprise systems, APIs, data platforms, document repositories, workflow tools, observability platforms, and identity and access management services. Production engineering: Ensure AI solutions meet enterprise standards for reliability, scalability, latency, maintainability, cost control, logging, monitoring ...

effective monitoring coverage. Define platform standards, monitoring policies and best practices. Maintain technical documentation, architecture diagrams and support procedures. Contribute to the monitoring and observability roadmap and identify opportunities for platform modernisation. Provide technical mentoring and knowledge sharing across engineering and operational teams. Significant hands-on experience administering and supporting … APIs, JSON, XML and integration technologies. Understanding of monitoring across AWS, Azure and Google Cloud. Experience with container and Kubernetes monitoring. Knowledge of enterprise observability frameworks and modern SRE practices. Tivoli Netcool OMNIbus SMEDue to the volume of applications received for positions, it will not be possible to respond ...

Establish automated testing across backend and frontend applications, including unit, contract and end-to-end testing. Work with the platform engineering team on deployment, observability, logging, tracing and operational readiness. Act as the technical owner for the application and integration layer, making and documenting key architectural decisions. Provide technical guidance … such as Lambda, ECS, API Gateway, S3, CloudFront, Cognito and IAM. Experience designing and operating distributed or event-driven systems. A strong understanding of observability, testing and CI/CD practices. Experience working with data platforms or stores such as MongoDB, OpenSearch or Databricks. Experience integrating internal systems and third ...

adherence to resiliency and security expectations Familiarity with working in a large distributed system across a range of technologies including compute, databases, messaging, observability, and telemetry Knowledge of incident, change, and problem management processes and the controls that govern them Understanding of data-driven decision making and a drive … working in a follow-the-sun or globally distributed on-call support model Familiarity with large-scale cloud migration or modernization initiatives Exposure to observability and telemetry tooling in complex distributed environments #J-18808-Ljbffr ...

Modern C# stack : Distributed C# and .NET microservices Cloud & orchestration : Hosted on Azure using Kubernetes Architecture : Event-driven, supporting products used at significant scale Observability : Grafana, Azure Application Insights, logs, traces, and metrics AI tooling : Claude and other AI tools used throughout the engineering workflow — design exploration, code generation … want engineers who tinker — experimenting with new tools, agents, and workflows, and sharing what works Guardrails as we accelerate : Automated tests, SLOs, alerting, observability, and deployment safeguards around everything we ship Own it beyond the pull request : Design for idempotency, retries, out-of-order events, and failure modes, and know ...

usability, and self-service for engineering consumers Create and maintain delivery workflows that standardize engineering practices and reduce operational toil across the platform Improve observability and operational readiness through monitoring, logging, tracing, alerting, runbook development, and on-call practices Partner with security and risk stakeholders to implement secure-by-default … Familiarity with infrastructure-as-code and automation practices, including tools such as Terraform, Helm, Kustomize, Argo CD, Flux, or continuous integration systems Experience with observability stacks and site reliability engineering practices, including service level indicators and objectives, incident response, and post-incident reviews Exposure to regulated environments and implementing security ...

rely heavily on experimentation to validate ideas and guide decisions. Technical Excellence: You will help maintain a high bar for code quality, testing, observability, and system reliability. You’ll contribute to architectural discussions, improve developer experience, and proactively address technical debt where needed. Team Contribution: You will mentor and support … working relationships across Product, Design, QA, Analytics, and Engineering teams while actively participating in team ceremonies and technical discussions. Technical Impact: Improve the stability, observability, and maintainability of our systems through better monitoring, resilient code, and thoughtful testing practices. Growth & Ownership: Gain confidence working across our platform and infrastructure while ...

tenant environments for enterprise customers. Developer Velocity: Architect CI/CD pipelines (GitHub Actions, Docker) that allow our team to ship safely and quickly. Observability & Reliability: Instrument the stack with OpenTelemetry and Datadog to ensure we detect issues before our users do. AI Performance Tuning: Tune autoscaling and network routing … Haves: Experience with ECS, container orchestration, and distributed task queues (Celery/SQS). Strong Python skills. Familiarity with the Datadog/Grafana observability stack. A background in offensive security, CTFs, or AI/ML infrastructure. What We Offer Competitive Salary + Significant Equity: We want you to have true ...

administration experience. Knowledge of cloud platforms and infrastructure. Experience with Terraform, Ansible, Helm or similar tools. Strong problem-solving skills. Exposure to monitoring and observability tools. Desirable Kubernetes networking and security experience. Knowledge of TLS/SSL, SSH and VPNs. Experience supporting SaaS or cloud-native environments. ...

shorter path each time. Setting the standard for how a benchmark enters the framework, and building the checks that enforce it. Scheduling and observability, so cluster capacity isn't left idle while evaluation jobs queue. Reproducible results across trials, so a release decision rests on numbers that hold. Whatever stack … benchmarks, and started fixing what slows the framework down. By 6 months one part of it is yours, for example scaling the runs, observability, or a group of related benchmarks, and a release will have gone out on your numbers. By 12 months you'll know the design and trade ...