Senior Software Engineer - Cloud & AI

Vallum Associates Limited — United Kingdom · Posted ~1 hour ago

Senior

Skills

Java Python Cloud-native application development Kubernetes Microservices APIs Event-driven architecture CI/CD DevOps Enterprise software engineering LLM RAG

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Summary ✨ AI‑Generated

A technology-focused organization is expanding its engineering team to build modern enterprise platforms and AI-enabled capabilities. The role is aimed at experienced software engineers with strong cloud-native foundations across Java or Python, Kubernetes, microservices, APIs, event-driven architecture, and DevOps, with AI integration experience as an advantage.

Highlights

Senior engineering opportunity focused on building modern enterprise platforms in a cloud-native environment, with exposure to AI integration and technologies such as Kubernetes, microservices, event-driven systems, and CI/CD.

Description

We’re looking to augment our engineering team to support the build-out of our Finance AI capability. At this stage, we’re not looking for AI researchers or consultants to define the strategy. We have a clear architectural direction and product roadmap in place. What we need are experienced engineers who can help us execute against that vision. We’re primarily looking for senior cloud-native software engineers with 10+ years’ engineering experience building modern enterprise platforms. The ideal candidates will have strong engineering fundamentals across areas such as: Java and/or Python Cloud-native application development Kubernetes Microservices and APIs Event-driven architecture CI/CD and DevOps practices Experience integrating AI capabilities into enterprise applications would be highly desirable, including areas such as LLM integration, RAG, AI orchestration or agent frameworks, but this should complement strong engineering capability rather than replace it. We’re looking for engineers who are comfortable working as part of an existing product and engineering team, following our technical direction, engineering standards and delivery approach, while contributing ideas and challenging where appropriate. The emphasis is on building and engineering excellence rather than consulting. Initially we’re expecting an engagement of approximately 3–5 engineers, with a mix of senior cloud-native engineers and ideally one individual with deeper AI platform expertise who can help establish engineering patterns and mentor the wider team. If you could share suitable profiles that fit this brief, I’d be happy to discuss further. We’re looking to augment our engineering team to support the build-out of our Finance AI capability.