Senior Cloud Engineer (Java/Python) - Finance AI Platform

iBSC

Sheffield, UK

27 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

£104,000.0 - £130,000.0

Working hours

Regular working hours

Job source

www.careerboard.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Engineering Continuous Integration DevOps Python (Programming Language) RabbitMQ Software Engineering Systems Integration

+13 more

Enterprise Software Applications Spring Cloud Large Language Models Multi-Agent Systems Event Driven Architecture Containerization AI Platforms Kubernetes Apache Kafka Virtual Agents Restful APIs Docker Microservices

Job description

We are seeking a hands-on Senior Cloud Engineer to support the development of a Finance AI platform. The role is focused on building scalable, cloud-native enterprise applications and integrating AI capabilities into existing business platforms. Candidates should be strong software engineers who thrive within established product teams and delivery frameworks., * Design and develop cloud-native applications using Java and/or Python.

Build and enhance microservices, APIs, and event-driven solutions.
Deploy and manage containerized workloads on Kubernetes.
Implement CI/CD pipelines and DevOps best practices.
Collaborate with architects, product teams, and engineers to deliver high-quality solutions.
Contribute to AI-enabled application development, including LLM and RAG integrations where applicable.

Requirements

10+ years of software engineering experience.
Strong hands-on expertise in Java and/or Python.
Cloud-native application development (Azure, AWS, or GCP).
Kubernetes, Docker, Microservices, and REST APIs.
Event-driven architecture (Kafka, Event Hub, RabbitMQ, etc.).
CI/CD, DevOps, and Agile delivery practices.

Preferred Skills

Experience with LLM integration, RAG, AI orchestration, or Agentic AI frameworks.
Exposure to AI platforms such as Azure OpenAI, OpenAI, LangChain, LangGraph, or Semantic Kernel.
Banking or Financial Services domain experience.

Candidate Profile

Strong engineering and problem-solving skills.
Product engineering mindset with a focus on quality and scalability.
Comfortable working within existing technical standards and architecture.
Collaborative team player who can contribute ideas and challenge constructively.