76 to 100 of 299 Observability Jobs in the UK excluding London

Skills Java 17+ and Spring Boot microservices REST API development SQL and data modelling (ideally PostgreSQL) AWS and OpenShift CI/CD and modern DevOps practices Cloud monitoring and observability tools Infrastructure as Code Desirable Skills Front-end development with React, HTML/CSS, and accessibility awareness AWS services such as Lambda, S3, Aurora, API Gateway, CDK, CloudFormation Testing frameworks 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 ❯

influencing at all levels. A mindset focused on long-term sustainability and strategic technical thinking. Bonus Points For Fintech or regulated environment experience, particularly investment platforms. Familiarity with modern observability stacks and incident response processes. Experience with security-first architecture and data protection best practices. Why Join? Well-Backed & Ambitious: Backed by a globally recognised financial group with significant investment More ❯

influencing at all levels. A mindset focused on long-term sustainability and strategic technical thinking. Bonus Points For Fintech or regulated environment experience, particularly investment platforms. Familiarity with modern observability stacks and incident response processes. Experience with security-first architecture and data protection best practices. Why Join? Well-Backed & Ambitious: Backed by a globally recognised financial group with significant investment More ❯

influencing at all levels. A mindset focused on long-term sustainability and strategic technical thinking. Bonus Points For Fintech or regulated environment experience, particularly investment platforms. Familiarity with modern observability stacks and incident response processes. Experience with security-first architecture and data protection best practices. Why Join? Well-Backed & Ambitious: Backed by a globally recognised financial group with significant investment More ❯

Ansible, Puppet, Chef, or Chocolatey for application-level configuration management. Writing scripts and pipelines to support lift-and-shift deployments and prepare environments for future use. Supporting monitoring and observability using tools like Splunk, Cloudability, Wiz, AWS Systems Manager, and CloudFormation. Collaborating with cloud infrastructure and OT stakeholders to ensure on-premise workloads are mirrored effectively in AWS. Contributing to More ❯

Engineers to understand problems, analyse requirements & deliver solutions that enhance engineering productivity Write code for low latency, highly available and scalable solutions Contribute to delivering initiatives to improve system observability, incident response processes and operational efficiency Continually update technical knowledge and skills using internal training as well taking time to self-develop utilising external sources Champion a culture of continuous More ❯

learning, knowledge sharing and continuous improvement. You have a passion for DevOps and Platform as a Service. Understanding of security and compliance requirements related to platform infrastructure. Experience with observability practices and tooling, incident management processes and driving operational excellence. Diversity, Equity and Inclusion If you're excited about this role but your experience doesn't align perfectly, we encourage More ❯

Experience with major public cloud platforms , including Google Cloud Platform (GCP) , AWS , and Azure Strong understanding of networking technologies , such as LAN, WAN, firewalls , and related infrastructure Proficient with observability and monitoring tools , e.g Grafana, SolarWinds, Prometheus, AWS CloudWatch, Splunk Familiarity with DevOps practices , including CI/CD pipelines , is beneficial If you would be interested in having a further 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 ❯

product teams to define and deliver integration solutions - Troubleshoot and resolve issues such as data inconsistencies, auth errors, and performance bottlenecks - Monitor integration performance and implement logging, alerting, and observability - Document architecture, workflows, and integration processes - Contribute to continuous improvement of integration tools and practices What You Bring: - Proven experience building backend services using Node.js, Python, Java, or similar - Strong More ❯

with infrastructure teams to ensure system reliability and operational efficiency Integrate monitoring and logging solutions (e.g., Prometheus, Grafana, ELK) Define strategies for disaster recovery, scaling, and infrastructure resilience Improve observability by enhancing visibility into performance and error metrics Skills and Experience Required 10+ years of backend development experience, including 5+ years in an architectural or engineering leadership role Proven experience More ❯

HIPAA). Background in customer-centric or product-driven industries such as digital , eCommerce , or SaaS . Experience with infrastructure-as-code tools like Terraform and expertise in data observability and monitoring practices. More ❯

shared mono repos and deploying containerised FastAPI micro services on Kubernetes (AKS preferred). - Strong general grounding in software engineering best practices : CI/CD, automated testing, code reviews, observability and performance profiling. - ️ Experience using multi modal AI (document layout, vision language models, building agents). - Experience building quick prototypes (e.g. Streamlit, Dash) to validate ideas rapidly. - MLOps tooling (e.g. More ❯

Source control management tools (e.g. Perforce, Git) Configuration management tools (e.g. Chef, Ansible, Terraform, Packer) Secrets management tools (e.g Vault) Virtualization environments and tools (e.g. VMs, vSphere) Data and Observability tools (e.g. Splunk, Grafana, New Relic, Open Telemetry) Growth-oriented mindset About Electronic Arts We're proud to have an extensive portfolio of games and experiences, locations around the world 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 ❯

changes quickly and safely. We live and breathe this approach ourselves: we release new versions of Gearset multiple times a day and we continually invest in improving our own observability and infrastructure tools. This means we can identify and react to issues quickly and delight our users by getting improvements to them as fast as possible. As a product-driven More ❯

changes quickly and safely. We live and breathe this approach ourselves: we release new versions of Gearset multiple times a day and we continually invest in improving our own observability and infrastructure tools. This means we can identify and react to issues quickly and delight our users by getting improvements to them as fast as possible. As a product-driven More ❯

and compliance standards Extensive experience in data engineering, including leadership in complex, enterprise-scale environments Proven ability to deploy data products through development stages into production, with monitoring and observability tools Deep technical expertise in PySpark, SQL, Java, Spark, Databricks, dbt, AWS, and Azure Familiarity with European jurisdictions and global reporting requirements Experience with orchestration and CI/CD tools More ❯

technologies (listed below) is advantageous: Kotlin Cloud Technologies (Kubernetes, Open Shift) Messaging Technologies (Kafka, Solace, TIBCO) Database/Data Store/Data Query Technologies (SQL Server, Trino, Mongo, S3) Observability Technologies (OpenTelemetry, Elastic Stack/ELK, Grafana) This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required. More ❯

Collaborate with back-end engineers to integrate APIs effectively, influence API design, and ensure reliable data flow, error handling, and system resilience. Maintain and enhance production standards by embedding observability, monitoring, and performance optimization in all deliverables. Promote a DevOps culture where engineers own and operate their solutions. Partner closely with product managers and designers, providing technical insights during ideation More ❯

of high-impact integration solutions across services and platforms. Collaborate on reusable API assets such as SDKs, templates, shared schemas, and common middleware. Implement robust error handling, logging, and observability across services and endpoints. Promote automation of API tests, documentation, contract validation, and pipeline integration. Collaboration & Engineering Maturity Act as a subject matter expert for APIs across squads and tribes 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 ❯

software design principles, and an ability to apply them familiarity with modern software development approaches such as automated testing, test driven development (TDD), continuous integration, pair programming, code review, observability and version control understanding of common web security risks such as OWASP Top 10, and the corresponding mitigations enjoy researching and learning new programming tools and techniques and sharing their More ❯