Staff Engineer (Python/AWS)

Experian is a global data and technology company, powering opportunities for people and businesses around the world.

We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software.

We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data.

As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries.

Our corporate headquarters are in Dublin, Ireland.

Learn more at experianplc.com.

• Design, develop, and maintain Agentic AI modules using Python and MCP, including agent-to-agent collaboration.
• Architect and deliver GenAI-powered applications , integrating LLMs, prompt engineering pipelines, and RAG-based patterns into enterprise-grade services.
• Implement robust authentication and authorisation for MCPs, AI Agents, and APIs using OAuth 2.0, JWT, IAM roles, and mTLS, ensuring compliance with enterprise security standards.
• Build and deliver scalable, high-performance applications and microservices using Java or Python on AWS, leveraging services including EC2, S3, SQS, SNS, ECS, EMR, Lambda, Glue, Athena, API Gateway, and DynamoDB .
• Design end-to-end solutions across batch processing and real-time streaming pipelines, and work across relational (Aurora Postgres) and NoSQL (DynamoDB, MongoDB) databases with strong data modelling practices.
• Integrate Veracode or Checkmark tooling into CI/CD pipelines, enforce data encryption at rest and in transit.
• Apply strong working knowledge of communication protocols (REST, gRPC, GraphQL) to make sound integration and interoperability decisions.
• Troubleshoot production issues, perform thorough root-cause analysis , and implement high-quality, lasting fixes.
• Write clean, efficient, and maintainable code aligned with engineering best practices; conduct thoughtful peer code reviews and enforce coding standards.
• Drive maturity in CI/CD pipelines, IaC (Terraform, AWS CDK), automated testing, and DevOps practices to improve delivery speed and release confidence.