Experian
data and technology
StaffEngineer(Python/AWS)
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“Staff Engineer (Python/AWS) at Experian. Skills: Python, AWS, Agentic AI, GenAI, microservices, CI/CD, IaC. 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”
What You'll Achieve.
improve delivery speed and release confidence; identify opportunities for automation, optimisation, and continuous improvement
Industry & Context.
problem-solving; Excellent problem-solving; root-cause analysis
What They're Looking For.
Must Have
13+ years of software engineering experience, proficiency in Java and Python, Hands-on experience designing and deploying Agentic AI, MCP servers, and Multi-Agent Systems in a production environment, Deep familiarity with the AWS cloud ecosystem and distributed systems architecture, Experience with NoSQL (DynamoDB, MongoDB) and relational databases (Aurora MySQL), including data modelling and query optimisation, knowledge of API authentication and security — OAuth 2. 0, OpenID Connect, JWT, Experience with Veracode or equivalent security scanning tools integrated into CI/CD pipelines, Proficiency with IaC tools (Terraform) and CI/CD platforms (Jenkins), understanding of system design, microservices, debugging, and performance optimisation, Excellent problem-solving, communication, and collaboration skills in a regulated enterprise environment
What You'll Do.
and maintain Agentic AI modules using Python and MCP
including agent-to-agent collaboration
Architect and deliver GenAI-powered applications
prompt engineering pipelines
and RAG-based patterns into enterprise-grade services
Implement robust authentication and authorisation for MCPs
and APIs using OAuth 2. 0
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
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 data modelling practices
Integrate Veracode or Checkmark tooling into CI/CD pipelines
enforce data encryption at rest and in transit
Apply working knowledge of communication protocols (REST
GraphQL) to make sound integration and interoperability decisions
Troubleshoot production issues
perform thorough root-cause analysis
and implement high-quality
and maintainable code aligned with engineering best conduct thoughtful peer code reviews and enforce coding standards
Drive maturity in CI/CD pipelines
and DevOps practices to improve delivery speed and release confidence
Contribute to architecture
and estimation discussions
and identify opportunities for automation
and continuous improvement
Collaborate closely with cross-functional teams including QA
Solution Architecture
Mentor engineers and foster a engineering culture focused on quality
How You'll Work.
Team & Collaboration
Collaborate closely with cross-functional teams including QA, DevOps, Product, Solution Architecture, and UX; Mentor engineers and foster a engineering culture focused on quality, security, and innovation; collaboration skills
Communication Scope
communication; communication 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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