51 to 75 of 2,671 Observability Jobs in England

claims‐based authorisation. Experience in platform engineering or SRE roles: building internal platforms, defining SLIs/SLOs, managing error budgets, and implementing observability (centralised logging, metrics, distributed tracing). Strong awareness of emerging cloud, AI, DevOps and platform technologies, with an understanding of their applicability to SaaS platforms. General knowledge ...

standards Collaborate with enterprise architects and engineering teams to ensure AI solutions align with overall technology architecture and infrastructure capabilities Establish output goals, monitoring, observability, and quality assurance practices for AI platform components, ensuring operational stability and performance targets are met Technical Guidance & Cross-Functional Collaboration Provide technical expertise ...

CloudFormation, OpenTofu, Pulumi CI/CD: CircleCI, GitHub Actions, GitLab CI/CD, Jenkins, Bamboo Scripting: Python, Bash Operating systems: Linux, UNIX Monitoring and observability: Datadog, Splunk, Grafana, Prometheus, New Relic Has designed and built a backend service with a REST API, in TypeScript, Python, or a comparable language ...

About the role: We 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 … line and 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. ...

applying AI to: Code generation Automated testing Code reviews Documentation generation Troubleshooting and incident analysis Developer productivity automation Strong understanding of AI governance, security, observability, and responsible AI practices.Cloud & Architecture Hands-on experience with Microsoft Azure services. Experience building serverless solutions using Azure Functions. Strong understanding of cloud-native architecture ...

Microservices architecture and API design. Docker and container orchestration or runtime platforms, including Kubernetes, Amazon EKS and Amazon ECS. AWS operational practices, including monitoring, observability, performance optimisation and FinOps. CI/CD tooling such as Jenkins, Bamboo, TeamCity or Bitbucket. Automated testing frameworks and continuous testing practices. Linux administration ...

Infrastructure as Code tools such as Terraform. Experience with CI/CD platforms including GitHub, GitLab, Jenkins, or similar. Familiarity with monitoring and observability tools for AI applications and services. Database Technologies Experience with vector databases such as ChromaDB, Pinecone, PGVector, Qdrant, MongoDB, or similar solutions. Familiarity with NoSQL databases. ...

documentation and coaching. Contribute to the self-service deployment platform that enables developers and non-developers alike to ship code without deep infrastructure knowledge. Observability & Reliability Operate production workloads with an SRE mindset: measure reliability, define SLOs and reduce toil through automation. Contribute to on-call readiness, incident response ...

PaaS components. Key areas: Containerisation and orchestration with AKS and Docker (design, scaling, network and security). API Management. App Services and Azure Functions. Observability using Azure Monitor, Log Analytics and Application Insights, Prometheus and Grafana. Implementation of governance and compliance controls using Azure Policy, Management Groups, and Landing Zone ...

Security, Risk, Compliance, and IT teams to achieve platform standards, remediation activities, and delivery objectives. Drive continuous improvement initiatives to enhance platform stability, security, observability, and operational excellence. Qualifications Extensive hands‐on experience in cloud engineering, platform engineering, or DevOps within large‐scale enterprise environments. Proven ability to design, build ...

such as AWS, Microsoft Azure or Google Cloud. Using collaboration and delivery tools such as Jira, Confluence and Bitbucket within Agile environments. Monitoring and observability using tools such as Elastic Stack and Grafana. Designing, deploying and administering Linux or Unix-based platforms. Implementing Infrastructure as Code and DevSecOps practices. Supporting ...

such as AWS, Microsoft Azure or Google Cloud. Using collaboration and delivery tools such as Jira, Confluence and Bitbucket within Agile environments. Monitoring and observability using tools such as Elastic Stack and Grafana. Desirable experience includes: Designing, deploying and administering Linux or Unix-based platforms. Implementing Infrastructure as Code ...

DynamoDB, Redis, Docker, Kubernetes and Terraform. Experience with event-driven architecture, REST and GraphQL APIs, messaging services and cloud-native infrastructure. A background in observability, automated testing and incident management, using tools such as PyTest, CloudWatch, New Relic or Sentry. Experience introducing AI and machine learning capabilities into backend services ...

such as AWS, Microsoft Azure or Google Cloud. Using collaboration and delivery tools such as Jira, Confluence and Bitbucket within Agile environments. Monitoring and observability using tools such as Elastic Stack and Grafana. Desirable experience includes Designing, deploying and administering Linux or Unix-based platforms. Implementing Infrastructure as Code ...

OAuth2, OpenID Connect, JWT, and secure API design. Experience with Kafka, RabbitMQ, or comparable messaging and event-streaming technologies. Familiarity with Kubernetes, cloud platforms, observability tooling, and secure software delivery practices. Nice to have Experience with Workforce Management (WFM), Customer Experience (CX), contact center, or customer service solutions. Experience with ...

Compute Engine, Cloud Storage, Cloud SQL, IAM and VPC networking. Implement containerisation and orchestration solutions using Docker and Kubernetes. Establish monitoring, logging, alerting and observability using Google Cloud Operations Suite and other monitoring platforms. Apply security best practices across cloud infrastructure, including IAM, least-privilege access, secrets management, encryption ...

Knowledge and use of at least one common programming language: e.g., Python, Go, C++, Scala, Java, including toolchains for documentation, testing, and operations/observability Expertise in modern software development tools/ways of working (e.g. git/GitHub, devops tools, metrics/monitoring, ...) Cloud expertise (e.g., AWS, Google ...

Compute Engine, Cloud Storage, Cloud SQL, IAM and VPC networking. Implement containerisation and orchestration solutions using Docker and Kubernetes. Establish monitoring, logging, alerting and observability using Google Cloud Operations Suite and other monitoring platforms. Apply security best practices across cloud infrastructure, including IAM, least-privilege access, secrets management, encryption ...

improve our delivery process Partnering with cross-functional Agile and DevOps implementation teams Taking ownership of services throughout their lifecycle, including architecture, implementation, deployment, observability, operational support, and continuous improvement. Requirements Demonstrate some proficiency in most of these technologies: Python, Java, Spring/Spring Boot, SQL, with a willingness ...

with a focus on minimising false positives and maintaining reliable feedback. Background in building containerised test environments with Docker and Kubernetes. Practical familiarity with observability and monitoring platforms. Understanding of performance and load testing for distributed pub/sub low-latency messaging technologies. Knowledge of AI tooling applications within ...

OpenAI. Support our AI and MCP gateway layer, managing access, routing and authentication for AI tools and agents. Apply the same security, identity and observability standards to AI services as the rest of our cloud platform. Look after infrastructure monitoring with Grafana, Prometheus and Log Analytics. Contribute to cloud cost ...

existing models for production use cases; including data preparation, evaluation, versioning and deployment within enterprise governance, cost and reliability constraints. AI cost‐value analysis, observability, governance, testing and evaluation frameworks for production systems. Practical application of Generative AI to marketing and experience challenges; e.g. personalisation, content generation, campaign optimisation; with ...

/CD pipelines Strong AWS architecture knowledge Experience with large-scale distributed systems Hands-on experience with containerization & orchestration Experience with monitoring and observability tools Solid understanding of infrastructure security British Citizen or right to work in UK (no visa sponsorship available) Strong communication & problem-solving skills Experience working with ...

/CD pipelines, automated testing and continuous delivery. Support containerised applications and microservices using Docker and Kubernetes. Improve system reliability through monitoring, observability and cloud operational best practices. Collaborate with engineering teams and stakeholders to deliver secure, scalable solutions. What We're Looking For Strong hands-on experience with ...

Kubernetes and CI/CD pipelines. Exposure to vector databases, embeddings and RAG architectures. Experience with cloud platforms, particularly AWS. Familiarity with monitoring and observability tools such as Grafana, Prometheus and ELK. Working Environment You will join a technology‐focused team working on innovative AI and data engineering initiatives within ...