3 of 3 Observability Jobs in Bradford

services/message buses and other architectural elements Deploy these applications using features such as containers to cloud leveraging CI/CD to support this process backed with good observability when running these in production Ensure quality through the creation of documentation and use of unit/integration/contract testing with a consideration of security/performance requirements. We More ❯

on system design, capacity planning, and platform architecture ✅ Advocate best practices in testing, code quality, and automation ✅ Enable self-service infrastructure capabilities through workflow automation ✅ Manage tooling for orchestration, observability, and platform automation ✅ Participate in on-call rotations and incident analysis with a blameless culture ✅ Produce clear documentation and contribute to platform governance and scalability ✅ Foster a collaborative, high-performance … for: ✔️ Experience with platform engineering and DevOps practices ✔️ Knowledge of IaC tools (Terraform, APIM), CI/CD pipelines, and scripting languages ✔️ Familiarity with cloud platforms (Azure preferred) and platform observability tooling ✔️ Understanding of ITIL, Agile, SRE, and platform governance frameworks ✔️ Strong communication and collaboration skills across technical teams ✔️ Passion for simplifying software delivery and enabling scalable infrastructure 💡 If you’re More ❯

and optimise data pipelines in Python, PySpark, SparkSQL, and Databricks. Ingest, transform, and enrich structured, semi structured, and unstructured data. Operate and support production grade data systems with strong observability and monitoring. Enable real time and batch data processing for analytics and business applications. Collaborate with Product Managers, Data Architects, and Analysts in Agile squads. Embed best practice engineering principles … a culture of continuous improvement. Data Engineer Requirements: Strong experience with Python-based data engineering and SQL. Background in software engineering with experience running systems in production. Knowledge of observability, monitoring, and performance optimisation. Experience with cloud data platforms (Azure preferred). Exposure to streaming and event-driven data pipelines is advantageous. Ability to work independently without heavy coaching or More ❯