Join us as a Software Engineer

This is an opportunity for a driven Software Engineer to take on an exciting new career challenge
Day-to-day, you'll build a wide network of stakeholders of varying levels of seniority
It's a chance to hone your existing technical skills and advance your career
We're offering this role at senior analyst level

What you'll do

In your new role, you'll engineer and maintain innovative, customer centric, high performance, secure and robust solutions. You'll be working within a feature team and using your extensive experience to engineer software, scripts and tools that are often complex, as well as liaising with other engineers, architects and business analysts across the platform.

You'll Also Be

Producing complex and critical software rapidly and of high quality which adds value to the business
Working in permanent teams who are responsible for the full life cycle, from initial development, through enhancement and maintenance to replacement or decommissioning
Collaborating to optimise our software engineering capability
Designing, producing, testing and implementing our working code
Working across the life cycle, from requirements analysis and design, through coding to testing, deployment and operations

The skills you'll need

You'll need a background in software engineering, software design, architecture, and an understanding of how your area of expertise supports our customers.

You'll Also Need

Hands-on experience with AWS AI services, including SageMaker Unified Studio (SMUS), Bedrock, Agent Core, and AI solution deployment
Strong proficiency in Python and/or Java, with experience using AI frameworks such as Spring AI, LangChain, and LangGraph
Solid understanding of GenAI concepts including Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), model tool integration, and optimization techniques
Experience in building, testing, monitoring, and optimizing AI agents, with knowledge of telemetry, observability, and monitoring tools such as Splunk and Grafana
Knowledge of DevOps practices, CI/CD pipelines, and Agile methodologies to support the efficient development and deployment of AI solutions

WoW Software Engineer