Senior Cloud Engineer (Java/Python) - Finance AI Platform
iBSC
Sheffield, United Kingdom
yesterday
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Senior Compensation
£ 130KJob location
Sheffield, United Kingdom
Tech stack
Java
API
Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Engineering
Continuous Integration
DevOps
Python
RabbitMQ
Software Engineering
Systems Integration
Enterprise Software Applications
Spring Cloud
Large Language Models
Multi-Agent Systems
Event Driven Architecture
Containerization
AI Platforms
Kubernetes
Kafka
Virtual Agents
REST
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.