76 to 100 of 269 Observability Jobs in London

structure Exposure to enterprise-scale messaging infrastructure Opportunity to develop automation and programming skills Work within a highly collaborative engineering environment Access to modern observability and monitoring tooling Long-term progression opportunities within infrastructure and messaging engineering THE SOLACE MESSAGING ADMINISTRATOR ROLE: As a Solace Messaging Administrator ...

structure Exposure to enterprise-scale messaging infrastructure Opportunity to develop automation and programming skills Work within a highly collaborative engineering environment Access to modern observability and monitoring tooling Long-term progression opportunities within infrastructure and messaging engineering THE SOLACE MESSAGING ADMINISTRATOR ROLE: As a Solace Messaging Administrator ...

Line manage, hire and develop the Data Engineering squad, setting technical standards and team culture Implement modern engineering hygiene: CI/CD, automated testing, observability and FinOps Partner with the Data Delivery Lead to balance tactical fixes against strategic build Represent the data function in setting organisation-wide standards ...

least five years in commercial software engineering 🚀 About Orchestra Orchestra is an AI-native data pipelining platform building the future of data orchestration and observability . We have built a declarative framework allowing data engineers to explicitly declare how their data pipelines behave. Think CI/CD but for data ...

sports data ingestion and processing Maintaining and improving data pipelines that enrich and distribute sports data across internal platforms Ensuring reliability, scalability, and observability of core backend services Collaborating closely with Tech Leads, frontend, and product teams Investigating and resolving production incidents related to data feeds and pipelines Contributing ...

layers, and connectivity gateways that support evolving business needs. Implement, maintain and optimise high-throughput, low-latency messaging solutions with a focus on resiliency, observability and automation. Drive improvements to test automation, CI/CD pipelines and deployment processes to ensure high quality and repeatable releases. Provide operational support ...

doing Owning the cloud platform architecture (Azure-first, AWS exposure) Designing and evolving shared platform services: Landing zones Networking & identity Security controls & guardrails Observability, backup & DR Treating cloud as a product with roadmaps, standards and continuous improvement Remaining hands-on with: Terraform & Infrastructure-as-Code CI/CD pipelines ...

availability requirements Plus, experience with one or more of the following: MLOps or ML platform engineering RAG architectures, embeddings, or vector search Model serving, observability or performance optimisation Data/AI workflow orchestration in Databricks or similar ecosystems Why Join? Work on real-world AI systems operating at scale ...

Evolution: Manage schema changes across different engines, ensuring that transactional data models translate effectively into columnar formats for analytics. - Monitoring & Cost Governance: Implement unified observability for the entire stack. Specifically, monitor Snowflake credit usage and ClickHouse resource utilisation to ensure peak ROI. - Automation: Use Python, Bash and/or Ansible ...

Safety & AI Security Standards) Release Management & Operations: Take the Platform from Prototype to Controlled Pilot & into General Availability Define & Manage: Service-Level Objectives (SLOs) Observability & Monitoring Model & Behaviour Drift Detection On-Call & Operational Runbooks Safe Rollback & Recovery Mechanisms Stakeholder & Cross-Functional Collaboration: Partner closely with: Application Security Teams Developer Experience ...

platform. Improve test coverage and architectural documentation (e.g., C4 models). Stabilise key third-party integrations and reduce recurring production issues. Strengthen monitoring and observability practices. Act as a trusted backend partner for Product and Platform teams. Within 12 months, you will: Confidently own and evolve multiple backend systems. Improve ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...

that support a cloud-agnostic, AI-ready future Assurance & Excellence: Embed rigorous validation, profiling, reconciliation, and automated testing into all engineering work; lead monitoring, observability, and performance optimisation to ensure resilient, reliable data products. Strategic Influence: Partner with architects, product leaders, and senior stakeholders to shape roadmaps and platform direction. ...