5 of 5 Observability Jobs in Richmond upon Thames

communication skills, with the ability to explain technical topics clearly to engineers, product teams and business stakeholders. Proven ownership of production services, including reliability, observability, incident response and continuous improvement. Track record of mentoring engineers and improving team engineering capability. Work in a Way That Works for You We promote ...

communication skills, with the ability to explain technical topics clearly to engineers, product teams and business stakeholders. Proven ownership of production services, including reliability, observability, incident response and continuous improvement. Track record of mentoring engineers and improving team engineering capability. Work in a Way That Works for You We promote ...

communication skills, with the ability to explain technical topics clearly to engineers, product teams and business stakeholders. Proven ownership of production services, including reliability, observability, incident response and continuous improvement. Track record of mentoring engineers and improving team engineering capability. Strong proficiency in C#/.NET, JavaScript or TypeScript, React ...

shared services, tooling and engineering practices that make it easier for our teams to deliver high-quality software. Championing engineering excellence: Improve scalability, reliability, observability and operational standards across our platform. Leading through collaboration: Work closely with architects, Principal Engineers and cross-functional squads to turn architectural vision into practical … including technologies such as Kafka, Azure Event Hubs or Service Bus. Solid understanding of platform technologies , including Kubernetes, Docker, Terraform, CI/CD and observability tooling. Experience designing data-intensive services , working with relational and non-relational databases, caching and search technologies. Demonstrable technical leadership , influencing architectural decisions, mentoring engineers ...

question to production, making pragmatic trade-offs between speed and technical debt. Extend our infrastructure as code, and keep CI/CD, testing and observability to a high standard. Coach engineers through code review, pairing and onboarding, and take part in hiring. Bring good practice in AI coding and agentic … production, not just in a proof of concept. Advanced dbt: macros, packages, testing strategies and running it at scale. Data quality and observability practices, such as tests, data contracts and monitoring that catch issues before users do. Power BI, enough to design data that works well for the people building ...