51 to 75 of 89 Observability Jobs in the East of England

vendor dependency. Assure significant Business Applications and enterprise AI designs from strategy through operation, covering business fit, security, data, integration, resilience, scalability, supportability, observability, cost and retirement. Measure effectiveness through reuse, application health, risk retirement, exception closure and delivery outcomes. Partner across Business Applications, Security, and with the Director ...

security and auditability in mind, including human-review workflows and clear escalation paths for clinical risk. Monitor systems in production and use error analysis, observability and user feedback to rapidly improve reliability, cost, latency and model selection. Turn what we learn into reusable building blocks: shared eval harnesses, agent patterns ...

architectures on AWS using approaches like microservices, serverless, containerisation and GPU‐based model hosting, using Infrastructure as Code for cost‐effective, repeatable deployments. Drive Observability: Implement robust observability covering system performance, reliability and the quality of AI outputs, so issues are found and resolved proactively. Integrate with our Enterprise Platforms … private or self‐hosted cloud environments. You'll also bring proficiency in areas like microservices, serverless, containerisation, and building web applications, with experience in observability, security standards, Infrastructure as Code, and CI/CD practices. We value transferable skills over specific tool expertise, as technical depth can be developed through ...

Familiarity with HPC workload management tools, such as IBM Spectrum LSF or comparable schedulers, and enterprise engineering access platforms. Experience implementing monitoring, logging, and observability solutions using Dynatrace, Grafana, ELK/OpenSearch, Splunk, CloudWatch, or similar tools. Understanding of SRE and modern operations practices, including incident resolution, capacity management, AIOps … operational toil reduction. Contribute to the future evolution of engineering access services through self-service workflows, policy-aware automation, AI-assisted operations, improved observability, secure cloud access patterns, and scalable service operations. Required Skills & Experience: Strong experience supporting Linux systems in shared, distributed, production, HPC, engineering, or enterprise environments. Experience ...

GitOps workflows to enable safe, fast, and repeatable delivery. Championing DevSecOps principles, embedding security and compliance into the software delivery lifecycle. Establishing and improving observability, monitoring, and incident response practices, including vulnerability management and remediation. Mentoring engineers and contributing to a strong engineering culture through knowledge sharing, documentation, and technical … would be great if you have the following Experience with Helm, Kustomize, and Kubernetes ecosystem tooling. Familiarity with Azure and Azure DevOps. Experience with observability platforms and Kubernetes policy enforcement tools. Proficiency in scripting or programming (e.g. Bash, Python, PowerShell, C#). Experience designing multi‐region or highly available systems. ...

technical design authority for how models, LLMs, and agents run in production. The work spans the model and prompt lifecycle, the evaluation and observability harness, the security and tenant boundaries around prompts and retrieval, and the cost and latency controls that keep production AI economically viable at scale. This … online eval harnesses, golden datasets, regression gates in CI, A/B and shadow deployment, and drift and hallucination detection in production. Establish observability for the AI platform, including monitoring, alerting, logging, and distributed tracing, and set the SLI, SLO, and SLA model for systems whose outputs are probabilistic. Design ...

tooling while collaborating with product managers, scientists and engineers. The role offers ownership of features from design to deployment, and a focus on reliability, observability and performance in distributed platforms #J-18808-Ljbffr ...

holiday operator, is seeking an experienced Site Reliability Engineer to join our Product Technology team. This role focuses on cloud reliability, CI/CD, observability and database resilience across diverse engines, with occasional travel to Hemel Hempstead and off-site events. You will work with engineering teams to design, implement ...

like to see on your CVMandatoryFamiliarity with using Linux operating systemsExperience with one or more of the following areas Administering or deploying monitoring and observability tools such as CheckMK, Prometheus or ZabbixAdministering or deploying SIEM tools such as Elastic Security, Splunk or Trellix ESMWorking with dashboarding and visualisation tools such ...

availability, and performance of large-scale software systems through a blend of software engineering and systems administration. Key responsibilities involve automating operational tasks,improving observability, andcontributing to incident management, while also collaborating with developmentand technologyteams to build more reliable and scalable applications. Join Altium as a Senior Site Reliability Engineer … ensure the reliability and performance of the Altium Cloud Platforms. Key Responsibilities: Understanding how an Altium Cloud Platform works Pioneer improvements in observability, including logging, monitoring, and application performance management (APM), ensuring system reliability and proactive issue detection. Develop and implement reliability frameworks and patterns that standardize and elevate ...

streams, and data feeds that connect vendor systems with internal products. The role emphasizes a product-like interface estate, self-service for engineers, strong observability, and collaboration with Enterprise Data and vendors. #J-18808-Ljbffr ...

infrastructure to production ML—owning problems end-to-end to accelerate model delivery. You’ll collaborate with the ML team to improve data quality, observability, and MLOps practices, while scaling infrastructure for faster iteration and reliability. #J-18808-Ljbffr ...

collaborate with external partners to deliver scalable financial tooling. As a platform-focused leader, you will ensure robust integration patterns and high standards for observability, performance, and security across the product ecosystem. #J-18808-Ljbffr ...

Engineer to ensure the reliability, availability, and performance of our large-scale cloud platforms and SaaS products. Your work will automate operational tasks, improve observability, and contribute to incident management while collaborating with development teams to build more reliable and scalable applications across regions. #J-18808-Ljbffr ...

contracts that power the product — ingestion pipelines transforming warehouse data into a model, robust APIs, durable storage, and reliable background work. You will ensure observability that lets a small team operate them confidently at 3 am. Two engines power WareBee: Physical AI and Process AI. You will build systems ...

operational databases Build batch and streaming workflows, orchestrated with tools such as Airflow, Prefect, Dagster, or dbt Own data quality, validation, lineage, and observability ensuring the data feeding our models is accurate, timely, and trustworthy Engineer features and datasets for model training, evaluation, and retrieval Develop, fine‐tune, and evaluate … CrewAI Implement guardrails, human‐in‐the‐loop approvals, and escalation so agents act safely within defined boundaries, and instrument agent evaluation, tracing, and observability (e.g. LangSmith) to improve reliability Build AI‐powered features such as document processing, intelligent automation, prediction, and data‐insight tools Secure & Compliant AI Development Build ...

senior technical representative and SME where required. Drive root cause analysis and ensure corrective actions are identified, prioritised, delivered and measured. Improve platform observability, monitoring, telemetry and alert quality to increase early detection and reduce operational risk. Analyse operational trends, incidents and service requests to identify recurring issues and opportunities … root cause analysis through to corrective action. Strong technical troubleshooting skills across distributed applications and production environments. Experience using logging, monitoring, tracing and observability tooling to investigate and improve production services. Strong SQL and database investigation skills. Experience working with messaging platforms and asynchronous processing patterns. Working knowledge of cloud ...

Tech Leads to design, implement and support the systems that guests, owners and colleagues rely on every day. From CI/CD pipelines and observability through to database reliability, incident management and disaster recovery, this role touches every layer of our stack. This is also a great time to join. … developers and engineers to troubleshoot build and deployment issues and unblock delivery Contribute to and maintain internally developed engineering tools Own monitoring, tracing and observability so we are first to know when something is (or is about to be) an issue, and can diagnose it quickly Drive database reliability across ...

weeks of telemetry data as they are at supporting a new customer deployment on the ground. You will query data across logs, databases, and observability tooling, interpret point cloud scan data, and navigate Grafana, AWS, and a range of robotics-specific tooling to investigate issues and understand their root cause. … cloud data where relevant — to narrow the blast radius of a problem and form a view on root cause before pulling in specialist teams. Observability & Monitoring: Navigate Grafana dashboards and internal tooling to monitor fleet and site health. Build or extend dashboards and alerting that improve visibility into system performance ...

maintain core backend services. Develop Python services, APIs, and workflow components. Improve the scalability, resilience, and operability of the platform as adoption grows. Build observability into services through metrics, dashboards, monitoring, and alerting. Work with internal team sand partners to turn requirements into practical platform capabilities. Contribute to the evolution … effectively across security and engineering teams."Nice to Have" Skills and ExperienceExperience with large-scale analysis pipelines, data processing, or workflow orchestration. Familiarity with observability tooling, operational metrics, and service health dashboards. Experience integrating AI/ML capabilities, including large language models, into production software or developer tooling. Familiarity with ...

running, resource-intensive compute jobs. Our goal is to break monolithic, hard-to-debug pipelines into small, composable, independently testable building blocks — with clear observability and intelligent failure handling. You do not need to know anything about semiconductor hardware; the tools are black boxes with defined inputs, outputs and exit … unit, integration) for orchestration logic, including failure-path and edge-case coverage — treat testability as a first-class design constraint, not an afterthought. Build observability into the application layer: structured logging, metrics extraction, and clear status/error reporting surfaced to end users. Collaborate with the platform/infrastructure lead ...

critical code Experience of using Git or similar to track changes Experience of both the full .NET Framework and .NET Core Experience of using observability systems such as Elastic APM or DataDog to track and diagnose issues in production A solid understanding of security principles and secure coding including OWASP … critical code Experience of using Git or similar to track changes Experience of both the full .NET Framework and .NET Core Experience of using observability systems such as Elastic APM or DataDog to track and diagnose issues in production A solid understanding of security principles and secure coding including OWASP ...

models efficiently and reliably in production Optimising infrastructure for both iteration speed and production reliability, including GPU utilisation, job scheduling, and training efficiency Implementing observability (monitoring, logging, alerting) across data pipelines and ML systems to catch issues early and keep things running smoothly Troubleshooting complex issues across distributed systems, spanning … lifecycle, from data through to model training, evaluation, and serving Experience with data quality practices (validation, cleaning, normalisation) and/or production-grade observability Ability to design resilient, scalable architectures, and comfort operating and troubleshooting distributed systems MLOps experience, for example model serving, experiment tracking, GPU/distributed training optimisation ...

Senior Observability Engineer/SRE Consultant £600-£625 per day Inside IR35 6-month initial term 2 days per week onsite in Cambridgeshire We're seeking a hands-on Observability Engineer/SRE Consultant to improve production monitoring, incident detection, and root-cause analysis across critical services. Key Skills Strong … hands-on Splunk experience (essential) Experience with Dynatrace and/or Grafana Production monitoring, observability and incident management Distributed systems troubleshooting and performance analysis Log, metric and trace correlation Improving application instrumentation with engineering teams Responsibilities Review existing monitoring, telemetry and alerting capabilities Improve visibility across critical customer journeys ...

product and platform capabilities for Roku TV. You will own the full lifecycle of agent development from prototyping and architecture through orchestration, evaluation, deployment, observability, and continuous improvement. You will contribute directly to Roku's AI strategy by engineering reusable components, optimizing agent workflows, and ensuring strong real-world performance … systems around them. Create reusable agent templates, modular components, and paved-path patterns that accelerate adoption across teams and use cases. Establish strong evaluation, observability, and monitoring for conversation quality, task success rate, latency, cost, and overall system performance. Build safeguards that improve production readiness and reliability, including testing pipelines ...