926 to 950 of 3,217 Observability Jobs in the UK

About this jobKey factsJob TitleSoftware Architect - Python & .NET.Role typePermanentStart dateASAPRemote friendlyYesLocationBirmingham, England, United KingdomSalary75000 - 90000 per annum An established and growing automation specialist is seeking an experienced Software Architect to lead the design and development ...

scale. You will own tooling in Python/Go, extend Kubernetes and Docker usage, and help advance multi-cloud readiness. You will contribute to observability through Prometheus/OpenTelemetry/Grafana, strengthen DR/BCP, and collaborate with a talented team to deliver robust, scalable infrastructure across customers. #J ...

Thought Machine is hiring Senior Software Engineers for Infrastructure to deploy and maintain cloud-native platform infrastructure. You will work on multi-cloud orchestration, observability, and data layers to reduce cognitive load for developers and clients at scale. The role focuses on building resilient, scalable tooling with Python or Golang ...

have an exciting opportunity for a Product Manager to be part of our exciting Observability and Incident Management Team, which impacts every part of our core technology and the highly experienced technology and product teams who use them. You will play a pivotal role in our journey to influence both … overall colleagues and customer experience. You will be responsible for shaping the culture and driving the roadmap for how colleagues will interact with observability data in future, utilising AI to reduce the toil and cost of maintaining system reliability, and contributing to reducing the impact of technology incidents. ...

Netcool/Observability Technical Lead Inside IR35 Contract -up to £827pd London Hybrid - 4 Days Onsite/1 Day WFH per Week Banking Are you the person who knows exactly why an ObjectServer failover didn't behave as expected, and how to stop a flood of duplicate events before anyone … shape how thousands of infrastructure and application events are detected, correlated and actioned across EMEA, and you'll have genuine scope to modernise observability capability rather than simply keep the lights on. This is a hands-on technical leadership role with no direct reports, so your influence comes from your ...

Role Profile As part of the LSEG AI, we are hiring a Senior Product Manager–AI Observability to own the strategy, design and rollout of telemetry systems that monitor, measure and analyse how AI models, MCPs, and AI-enabled features behave across all LSEG products. This role is responsible … model performance tracking cost efficiency user experience optimisation operational reliability auditability and the long‐term evolution of our AI platform. Key Responsibilities & Accountabilities Telemetry & Observability Strategy Define the end‐to‐end telemetry vision and roadmap for LLMs, MCPs, vector stores, embeddings, inference layers and AI‐powered user experiences. Establish ...

They own projects from beginning to end, facilitating collaboration and enabling Datadog's community to solve real-world problems. With a focus on Data Observability, this role will enable our community of engineers around Datadog to be part of a movement of building better software. This is a unique opportunity … engineering expertise and advocacy skills to shape the ever‐evolving technological landscape. What You’ll Do: Act as a subject matter expert for data observability on behalf of the Datadog advocacy and engineering teams Create content in one or more mediums to build Datadog's reputation as a leader ...

software engineering and infrastructure. You'll develop internal platforms, tooling, and automation across Linux, distributed systems, and cloud-native technologies, helping improve reliability, observability, and operational efficiency across a global production environment. Responsibilities: Design and develop internal infrastructure tooling and automation. Build and maintain monitoring, observability and configuration management platforms. …/Must Have: Strong experience programming with Python, Go and/or C++ Strong Linux knowledge and understanding of distributed systems. Experience with monitoring, observability or SRE practices. Experience with CI/CD pipelines, Git and infrastructure automation. Familiarity with Kubernetes and containerised workloads. Strong analytical and troubleshooting skills. Benefits ...

Networking, and implementation ofsecure‐by‐design controls across platform lifecycle. Containers & Orchestration Experiencewith GKE, container runtimes, and service mesh patterns (e.g., Istio). Automation & Observability Abilityto implement actionable observability solutions. Performancetuning and automation to reduce toil. Experiencedefining and operating to SLOs/SLIs. Scripting & Tooling Proficiencyin Bash, PowerShell, or Python. … Bash,PowerShell). Demonstrableexpertise in modular, maintainable IaC design. Strongunderstanding of cloud security, networking, and APIs. Excellenttroubleshooting and problem‐solving capability. Hands‐onexperience with observability tooling (including Observability‐as‐Code andSLO‐based Dynatrace monitoring). Strongunderstanding of source‐control practices and collaborative engineering. Experiencedeveloping and administering Kubernetes clusters in production. ...

production-grade AI agents, agentic workflows, and LLM integrations for internal automation and in-product features for a web-native trading platform. Own implementation, observability, and security while partnering with Product and Platform teams to deliver measurable AI systems in production. Job Description Role Senior/Principal Applied AI Engineer … integrate LLMs into internal systems and the trading product. This is a hands-on engineering role: you will write production code, put evaluation and observability on everything shipped, and operate autonomously in a lean team. Key Responsibilities Build agent loops, tool-calling, structured outputs, planning/state management, retries, guardrails ...

platform reliability. Key Responsibilities - Design, deploy, and manage AI platforms and agent infrastructure - Build and maintain CI/CD pipelines and DevOps workflows - Implement observability, monitoring, and logging solutions - Optimise performance, scalability, and cost efficiency - Support AI teams with infrastructure, deployment, and integration - Ensure platform security, compliance, and high availability …/CD, automation, and DevOps best practices - Experience with Kubernetes/containerisation technologies - Strong programming skills (e.g. Python, Go, Node.js) - Experience with observability tools (e.g. OpenTelemetry, Datadog) - Understanding of security, performance optimisation, and scalability Desirable Skills - Experience working on AI/ML platforms or deployments - Exposure to large-scale distributed ...

DevOps. Implement Infrastructure as Code using Terraform and automation tooling. Support the migration and modernisation of existing applications into Azure. Improve monitoring, logging and observability across environments. Collaborate with development teams to streamline deployment processes. Troubleshoot infrastructure, deployment and performance issues. Ensure environments adhere to security, resilience and disaster recovery … Python. Exposure to C#, .NET or ASP.NET environments. Experience migrating applications and services from on-premise environments into Azure. Familiarity with monitoring, logging and observability tools. Strong understanding of cloud security and governance principles. Contract Details Azure DevOps Engineer £500-£550 per day Outside IR35 Initial 3-month contract Remote ...

responsible for S&P Global's enterprise AIOps platform and strategy, driving the modernization of IT Operations and Site Reliability Engineering (SRE) through intelligent observability, event intelligence, automation, and AI-driven insights. DTS Platform & Tools – Service Enablement: We serve as thought leaders in AIOps, partnering across IT Operations, SRE, engineering … solving, prioritization, and decision‐making skills. What We’re Looking For: Basic Required Qualifications: 10+ years of experience in product management, IT operations, SRE, observability, platform engineering, or related enterprise technology roles. Strong understanding of AIOps concepts, including event correlation, anomaly detection, root cause analysis, noise reduction, predictive analytics ...

Contribute To Include Workload orchestration across Kubernetes clusters Platform APIs and Kubernetes operators Cloud platform integrations Multi-tenant workload isolation and security Observability, health checks, and operational tooling Workload scheduling, disruption management, and rolling updates What You Will Do Design and implement services, APIs, and Kubernetes controllers using Go. Contribute … engineers to understand requirements and deliver reliable solutions. Participate in technical design discussions and help evaluate implementation trade-offs. Improve the reliability, scalability, observability, and maintainability of existing systems. Write automated tests, documentation, and operational runbooks. Participate in code reviews and provide constructive feedback to teammates. Help investigate and resolve ...

Code, GitOps and deployment automation. Work closely with engineering, product, architecture, security and operational teams. Investigate complex performance, resilience and production issues. Improve observability, maintainability and engineering practices across the platform. Key Skills Significant commercial software engineering experience within complex production environments. Deep hands-on Java development experience. Strong understanding … automated software delivery. Experience with secure software development, including authentication and authorisation. Comfortable owning technical initiatives and making architecture and design decisions. Experience with observability and production monitoring tooling. Able to work independently while influencing technical and non-technical stakeholders. Experience within financial services, trading or another high-throughput environment ...

Terraform, CloudFormation, or CDK), CI/CD pipelines, API Gateway, Lambda, and Aurora PostgreSQL — and confident applying fundamentals such as high availability, fault tolerance, observability, and cost control in a live environment. Payments or fintech exposure is an advantage but not required; what matters more is a practical, first-principles … rollback processes Support deployment of AI generated applications and tooling Support change control and release management alongside Engineering and the Information Security Officer Reliability, Observability & Data Infrastructure Design and maintain systems for high availability, fault tolerance, and resilience by default Implement logging, monitoring, and alerting (for example CloudWatch) across services ...

help clients design, build and scale secure, reliable and operationally effective AI platforms. You will combine expertise in platform engineering, Site Reliability Engineering (SRE), observability and intelligent operations to help organisations move from isolated AI experimentation to production-grade, enterprise-scale AI services. You will work with technology, engineering, operations … operational requirements. AI Platform Engineering & LLMOps: Design and implement scalable AI platform capabilities including model deployment pipelines, prompt and model management, evaluation frameworks, AI observability, platform automation and operational guardrails. Enable reliable and repeatable delivery of AI services from experimentation through to production. Reliability Engineering & SRE: Establish SRE practices including ...

experience with both Azure, and on-premise virtual machines. Experience withInfrastructure as Code/Terraform, Container orchestration (Kubernetes or AKS), and Monitoring and observability tooling (Prometheus, Grafana, Datadog, or Azure Monitor). Ability to implement new processes, and tools, ensuring the wider development and support teams adopts new ways … Engineer Utilise various technologies (Terraform, Kubernetes ect) to manage provision, and configure servers and networks, and automate application lifecycles. Regularly use Datadog and other observability tools for application performance monitoring. Implement new ways of working, helping to shape how the organisation responds and recovers to incidents. Take ownership of incident ...

/CD pipelines and deployment orchestration. Support Kubernetes and OpenShift platform troubleshooting and optimisation. Deliver secure and compliant infrastructure solutions. Implement monitoring, logging, and observability tooling across environments. Collaborate with engineering, architecture, and delivery teams to improve deployment efficiency and platform reliability. Champion automation-first approaches to infrastructure and application … designing and maintaining enterprise-scale CI/CD pipelines . Strong understanding of cloud security and secure delivery practices. Experience implementing monitoring, logging, and observability solutions. Ability to define technical standards, governance, and reusable deployment frameworks. Experience working within large-scale enterprise transformation programmes. Desirable Skills Experience within highly regulated ...

including data centre consolidation, migrations, modernisation, and cloud adoption. Design and govern backup, disaster recovery, and cyber resilience strategies, including immutable backup solutions. Drive observability, monitoring, and reliability engineering frameworks across enterprise infrastructure. Embed security first and Zero Trust principles into all infrastructure designs. Optimise infrastructure performance, capacity, licensing … Centre technologies. Edge computing and distributed infrastructure architectures. Green Data Centre and sustainability initiatives. AI/ML, GPU, and high performance computing environments. Advanced observability and AIOps platforms such as Dynatrace or AppDynamics. FinOps and infrastructure cost optimisation experience. DevSecOps integration and secure automation practices. Experience delivering large-scale data ...

help clients design, build and scale secure, reliable and operationally effective AI platforms. You will combine expertise in platform engineering, Site Reliability Engineering (SRE), observability and intelligent operations to help organisations move from isolated AI experimentation to production-grade, enterprise-scale AI services.You will work with technology, engineering, operations … operational requirements.• AI Platform Engineering & LLMOps: Design and implement scalable AI platform capabilities including model deployment pipelines, prompt and model management, evaluation frameworks, AI observability, platform automation and operational guardrails. Enable reliable and repeatable delivery of AI services from experimentation through to production.• Reliability Engineering & SRE: Establish SRE practices including ...

help clients design, build and scale secure, reliable and operationally effective AI platforms. You will combine expertise in platform engineering, Site Reliability Engineering (SRE), observability and intelligent operations to help organisations move from isolated AI experimentation to production-grade, enterprise-scale AI services.You will work with technology, engineering, operations … operational requirements.• AI Platform Engineering & LLMOps: Design and implement scalable AI platform capabilities including model deployment pipelines, prompt and model management, evaluation frameworks, AI observability, platform automation and operational guardrails. Enable reliable and repeatable delivery of AI services from experimentation through to production.• Reliability Engineering & SRE: Establish SRE practices including ...

help clients design, build and scale secure, reliable and operationally effective AI platforms. You will combine expertise in platform engineering, Site Reliability Engineering (SRE), observability and intelligent operations to help organisations move from isolated AI experimentation to production-grade, enterprise-scale AI services.You will work with technology, engineering, operations … operational requirements.• AI Platform Engineering & LLMOps: Design and implement scalable AI platform capabilities including model deployment pipelines, prompt and model management, evaluation frameworks, AI observability, platform automation and operational guardrails. Enable reliable and repeatable delivery of AI services from experimentation through to production.• Reliability Engineering & SRE: Establish SRE practices including ...

contribute to include: Workload orchestration across Kubernetes clusters Platform APIs and Kubernetes operators Cloud platform integrations Multi-tenant workload isolation and security Observability, health checks, and operational tooling Workload scheduling, disruption management, and rolling updates What You Will Do: Design and implement services, APIs, and Kubernetes controllers using Go. Contribute … engineers to understand requirements and deliver reliable solutions. Participate in technical design discussions and help evaluate implementation trade-offs. Improve the reliability, scalability, observability, and maintainability of existing systems. Write automated tests, documentation, and operational runbooks. Participate in code reviews and provide constructive feedback to teammates. Help investigate and resolve ...

automate deployments using Terraform and Ansible, and build CI/CD pipelines using GitHub Actions. You'll also work across cloud security, networking and observability, while having the opportunity to develop your technical expertise through training and professional certifications. This role would suit an experienced DevOps Engineer looking to work … private cloud environments Automate infrastructure using Terraform and Ansible Build and maintain CI/CD pipelines using GitHub Actions Implement monitoring and observability using Grafana, Prometheus and CloudWatch Manage hybrid networking, IAM, firewalls and VPNs Improve infrastructure security, reliability and performance Support Kubernetes environments, including AWS EKS Join ...