2,051 to 2,075 of 4,601 Observability Jobs

will own and evolve the technical foundations that underpin product and service delivery, including engineering standards, development frameworks, CI/CD pipelines, testing harnesses, observability, and operational practices. Your focus will be on enabling a fast-moving, AI-first delivery team to consistently deliver high-quality, scalable, and supportable solutions … varied role, you will: own and version technical foundations across all seven harness dimensions (Security, performance, coding style, UI/UX baselines, logging and observability, testing) so that every deliverable inherits secure, observable and tested defaults build and maintain the shared ADO CI/CD pipelines and release governance ...

will also contribute to the production foundations needed to operate AI capabilities reliably, including LLMOps, model access patterns, prompt and agent lifecycle practices, evaluation, observability and secure enterprise integration. This is a hands‐on engineering role where the capabilities you build will be used by other teams across ASOS, helping … latency monitoring, alerting, scaling considerations and operational readiness Applying CI/CD and software engineering best practices to AI platform and agentic components Embedding observability by default, ensuring AI systems are measurable, debuggable and auditable through logs, metrics and traces Working with Cloud Infrastructure and Security teams to design secure ...

Senior DevOps Engineer to support the team that keeps ThreatAware's platform running and shipping. You'll own AWS infrastructure, CI/CD pipelines, observability, and platform reliability — and define the developer workflow end-to-end, pioneering how AI can streamline every step. You report to the CTO. … cost optimisation. You know this space and you care about getting it right. Define the developer workflow and keep improving it. Build the tooling, observability, and automation that let engineers focus on code, not friction. Pioneer AI-assisted DevOps — explore and implement ways AI can streamline builds, deployments, monitoring ...

Management controls. Drive automation across deployment, monitoring and operational processes. Implement continuous integration and continuous delivery capabilities using Jenkins, GitHub and Azure DevOps. Define observability standards using Dynatrace, Splunk and other enterprise monitoring tools. Reduce repetitive operational activity through sustainable automation. Build trusted working relationships with customer stakeholders, business teams … clearly to technical teams, business stakeholders and senior decision-makers. Experience with cloud technologies, containers and Kubernetes would be beneficial. Knowledge of monitoring and observability platforms would be beneficial. Familiarity with Oracle OSS components would be advantageous but is not essential. Not a perfect fit? Concerned you may not meet ...

large-scale GPU infrastructure supporting ChatGPT inference. Build internal platforms, tooling, and AI-powered agents that automate fleet operations and reduce operational overhead. Improve observability, reliability, and operational efficiency across thousands of GPUs. Develop systems for capacity planning, scheduling, fleet health monitoring, and incident response. Identify infrastructure bottlenecks and implement … software that automates operational workflows rather than relying on manual processes. Have experience with Kubernetes, Linux systems, container orchestration, or distributed infrastructure. Understand infrastructure observability, monitoring, capacity planning, and incident management. Enjoy identifying cross-team pain points and building reusable platforms that improve developer productivity. Are comfortable working across software ...

major incident recovery, particularly around backup, restore and platform availability. Drive automation to reduce manual processes and improve operational efficiency. Develop and maintain monitoring, observability and alerting using tools such as Grafana. Coordinate the day-to-day priorities of the Platform Engineering team. Maintain engineering standards, documentation and operational procedures. … Azure DevOps-focused role. Experience supporting highly available production infrastructure. Strong troubleshooting and problem-solving skills across enterprise infrastructure. Experience with monitoring and observability platforms such as Grafana. Experience automating operational tasks using PowerShell, scripting or similar technologies. Excellent understanding of backup, disaster recovery and platform resilience. Ability to coordinate ...

senior technical escalation point for major incidents and high-risk releases. Lead blameless post-incident reviews and ensure measurable service improvements. Define and oversee observability, monitoring and capacity management practices. Ensure SRE approaches align with security, governance and compliance requirements. Mentor and coach senior engineers, helping to improve SRE maturity … OpenShift. Experience designing and supporting hybrid and multi-cloud platforms. Experience with service mesh technologies such as Istio. Strong hands-on experience with observability tooling including Prometheus, Grafana, Loki, Tempo and OpenTelemetry. Infrastructure as Code and GitOps expertise using tools such as Helm, Kustomize, ArgoCD and Tekton. Experience building ...

Mockito, Rest Assured & API Testing Git, CI/CD, Docker & Kubernetes API Security, Logging & Documentation Performance, Resiliency & Load Testing Agile/SAFe & SDLC Cloud & Observability tools JavaScript/React integration Technical leadership & mentoring ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineering practices … C# or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately. ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineering practices … C# or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately. ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineering practices … C# or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately. ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineering practices … C# or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately. ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineering practices … C# or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately. ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineering practices … C# or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately. ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineering practices … C# or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately. ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineering practices … C# or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately. ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offs and safe failure paths. You will ensure that evaluation, observability, identity, permissions and data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineering practices … C# or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and escalate architecture or security risks appropriately. ...

agents use trusted knowledge, approved tools, Model Context Protocol (MCP) services, approvals, human hand-offsand safe failure paths. You will ensure that evaluation, observability, identity,permissionsand data boundaries are built into delivery rather than added later. You will review code and designs, mentor developers, improve engineeringpracticesand support live services. … JavaScript,C#or Python, with experience extending low-code services appropriately. Strong software engineering practice, including testing, version control, code review, documentation, CI/CD, observability and supporting live services. Ability to lead technical decisions for medium-to-high complexity work, communicate trade-offs and elevate architecture or security risks appropriately. ...

recurring technical problems and implementing long-term solutions. Improving platform reliability, resilience, and overall product quality. Performing application profiling, performance tuning, and optimisation. Enhancing observability, monitoring, alerting, and diagnostic capabilities. Working with engineering teams to improve development practices and technical standards. Reducing technical debt and identifying opportunities for platform improvement. … Strong communication skills and the ability to collaborate effectively across engineering teams. Desirable Experience working on SaaS platforms or cloud-based applications. Exposure to observability and monitoring tools. Experience with performance profiling and optimisation techniques. Knowledge of scalability, resilience, and reliability engineering principles. Familiarity with CI/CD pipelines ...

secured, deployed and operated across UK/I.This role acts as a specialist advisor focused on Developer Experience, Platform Engineering, DevSecOps, Cloud Native Engineering, Observability and AI-enabled software delivery. This role requires a deep understanding of modern software engineering practices, developer productivity, platform operating models and software delivery transformation. … aligned to DevOps, Developer Experience and software delivery transformation initiatives. Identify, qualify and pursue opportunities across Developer Experience, Platform Engineering, DevSecOps, Cloud Native Engineering, Observability, and AI-assisted Software Delivery and Software Supply Chain Security. Develop customer-specific hypotheses, transformation opportunities and executive points of view that align engineering challenges ...

deployment predictable through Git-based development, CI/CD for the warehouse and semantic layer, automated provisioning and consistent environments. Set standards for testing, observability, backfills, quarantine and the day-to-day operation of analytics as software. Lead the Data Engineering discipline through standards, technical direction, mentoring, hiring input … attribute-level security, PII classification and GDPR-sensitive data. Experience treating analytics as software, including Git, CI/CD, automated testing, environment parity, observability, SLOs and cost awareness. Functional or discipline leadership experience, setting standards, raising the technical bar and mentoring without relying on formal line management. The ability ...

products. As a Senior/Lead AI Engineer, you will own and drive the development of our core agentic frameworks, evaluation pipelines, and observability tooling to ensure they operate with safety, trust, and intelligence at scale. You won’t just be integrating AI into a product, you will lead … CrewAI is a plus. Production Python engineering: Clean, modular, testable, maintainable code — you care about system reliability as much as model output. Evaluation & observability: Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations: Distributed systems, scalable data pipelines (Kafka ...

products. As a Senior/Lead AI Engineer, you will own and drive the development of our core agentic frameworks, evaluation pipelines, and observability tooling to ensure they operate with safety, trust, and intelligence at scale. You won’t just be integrating AI into a product, you will lead … CrewAI is a plus. Production Python engineering : Clean, modular, testable, maintainable code — you care about system reliability as much as model output. Evaluation & observability : Practical experience instrumenting tracing (LangSmith, Arize) and building CI/CD pipelines built specifically for LLMs. Engineering foundations : Distributed systems, scalable data pipelines (Kafka ...

pipelines for infrastructure and platform services Implement AWS security controls, IAM patterns, secrets management and secure networking Establish monitoring, logging, alerting and operational observability across the platform Implement tagging, cost visibility, budgets and FinOps controls to help teams understand and manage cloud consumption Work closely with architecture, security, data engineering … connectivity between AWS and existing environments Embed security by design, including least-privilege access, encryption, secrets management, vulnerability management and policy enforcement Build platform observability using metrics, logs, traces, dashboards and automated alerting Establish backup, recovery, resilience and operational readiness patterns Implement cloud cost management through tagging standards, budgets, monitoring ...

Lead QA at Waracle, you will play a pivotal leadership role, shaping test strategies across multiple squads, establishing automation architectures, and championing observability and non-functional requirements. Operating at a strategic level, you’ll mentor engineers, build strong relationships with senior stakeholders, and influence the adoption of forward-thinking testing … platforms. Quality & Automation Architecture: Defining squad-level automation approaches and embedding robust quality gates within CI/CD pipelines to elevate software standards. NFR & Observability Championing: Defining comprehensive strategies for performance, security, and accessibility, ensuring systems are inherently testable and debuggable in production. Delivery & Team Wellbeing: Leading QA workstreams with ...