Senior Cloud Engineer (Java/Python) – Finance AI Platform
Test Triangle · Sheffield, United Kingdom ·
- Seniority
- Senior
- Category
- Devops
- Experience
- 10+ years
- Visa sponsorship
- No
- Company size
- 501-1000
- Salary
- GBP 70,000 – 90,000
Test Triangle · Sheffield, United Kingdom ·
9fin · London
LTS - Video Solutions for Security Professionals · United States - Remote
Epiq Systems · IND-Hyderabad-Sohini Tech Park, 3rd Floor, Financial District
checkout.com · London
Build and run cloud-native finance AI services in Java/Python on Azure/AWS/GCP, deploying microservices on Kubernetes and integrating LLM/RAG capabilities.
Senior Cloud Engineer (Java/Python) – Finance AI Platform
Experience: 10+ Years
Role Overview
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.
Key Responsibilities
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.
Required Skills
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.
GFT Technologies