Experian

data and technology

StaffEngineer(Python/AWS)

Hyderabad, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“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.

data and technology
Problems you'll solve

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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