Experian
data and technology
StaffEngineer(Python/AWS)
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“Staff Engineer (Python/AWS) at Experian. Skills: Python, AWS, Agentic AI, GenAI. Design Agentic AI modules. Develop Agentic AI modules”
What You'll Achieve.
improve delivery speed; improve release confidence
Industry & Context.
problem-solving; analytical skills; root-cause analysis
What They're Looking For.
Must Have
13+ years of software engineering experience, proficiency in Java, proficiency in Python, Hands-on experience designing and deploying Agentic AI, Hands-on experience designing and deploying MCP servers, Hands-on experience designing and deploying Multi-Agent Systems in a production environment, Deep familiarity with the AWS cloud ecosystem, Deep familiarity with distributed systems architecture, Experience with NoSQL databases, Experience with relational databases, data modelling, query optimisation, knowledge of API authentication, knowledge of API security, Experience with Veracode or equivalent security scanning tools integrated into CI/CD pipelines, Proficiency with IaC tools, Proficiency with CI/CD platforms, understanding of system design, understanding of microservices, understanding of debugging, understanding of performance optimisation, Excellent problem-solving skills, Excellent communication skills, Excellent collaboration skills in a regulated enterprise environment
Nice to Have
MCP servers, Multi-Agent Systems, DynamoDB, MongoDB, Aurora MySQL, OAuth 2.0, OpenID Connect, JWT, Terraform, Jenkins
What You'll Do.
Design Agentic AI modules
Develop Agentic AI modules
Maintain Agentic AI modules
Architect GenAI applications
Deliver GenAI applications
Implement authentication
Implement authorisation
Build scalable applications
Deliver high-performance applications
Design end-to-end solutions
Integrate Veracode tooling
Enforce data encryption
Apply communication protocols
Troubleshoot production issues
Perform root-cause analysis
Implement lasting fixes
Write maintainable code
Conduct peer code reviews
Enforce coding standards
Drive maturity in CI/CD pipelines
Drive maturity in IaC
Drive maturity in automated testing
Drive maturity in DevOps practices
Contribute to architecture discussions
Contribute to system design discussions
Contribute to estimation discussions
Identify opportunities for automation
Identify opportunities for optimisation
Identify opportunities for continuous improvement
Collaborate with cross-functional teams
Foster engineering culture
How You'll Work.
Team & Collaboration
Collaborate closely with cross-functional teams including QA, DevOps, Product, Solution Architecture, and UX; collaboration skills in a regulated enterprise environment
Communication Scope
communication skills; collaboration skills
Full Job Description
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 interoperabil
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