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Test Triangle

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

Posted 2 Months Ago
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In-Office
Sheffield, South Yorkshire, England
Senior level
In-Office
Sheffield, South Yorkshire, England
Senior level
Design and develop cloud-native applications for a finance AI platform using Java and/or Python. Build microservices, APIs, event-driven solutions, and Kubernetes-based containerized workloads. Implement CI/CD pipelines and DevOps practices while collaborating with architects and product teams. Contribute to AI-enabled applications, including LLM and RAG integrations, within established engineering standards and delivery frameworks.
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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. 

 



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