4 of 4 Permanent Distributed Systems Jobs in North Yorkshire

agent architectures, and building/consuming Model Context Protocol (MCP) services. System Observability & Quality: Strong experience with application observability, logging, and performance monitoring across distributed backend systems and frontend applications. Communication & Collaboration: Exceptional communication skills with a demonstrated ability to collaborate across engineering, product, and design teams … financial planning, business analytics, or related enterprise SaaS environments. Community Contributions: Contributions to open‐source agent frameworks, MCP servers, or published research in distributed systems or Generative AI. Our Commitment to Diversity, Equity, Inclusionand Belonging (DEIB) We believe attracting and retaining the best talent and fostering an inclusive ...

guidance. Required Experience Commercial experience with C#, .NET and ASP.NET Core. Strong background developing scalable APIs and backend services. Experience designing software architecture and distributed systems. Solid SQL and relational database knowledge. Strong understanding of software design principles, dependency injection and automated testing. Experience working on complex or legacy ...

reporting toolsets - ideally Power BI Demonstrable experience in mentoring or supporting the development of junior team members Capability to architect highly scalable distributed systems, using different tools Intellect and gravitas to influence and gain credibility with stakeholders Excellent written and verbal communication skills Creative, proactive, logical and innovative ...

standards for interoperability, including API design, event contracts, data exchange patterns, versioning, and access controls. Define scalable integration patterns for customers, partners, and enterprise systems across API, streaming, batch, and self-service access channels. Create consistent interfaces that support human users, analytics tools, applications, AI agents, MCP-compatible clients … Architecture. Proven success designing enterprise data platforms that drive adoption and business value. Deep understanding of APIs, event-driven architecture, and distributed systems. Experience integrating complex SaaS platforms into cohesive architectural solutions. Cloud-native architecture experience, ideally within AWS environments. Strong understanding of data products and modern data architecture ...