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Job description
We are seeking an experienced Technical Lead to drive the design, development, and delivery of scalable, high-performance applications in a cloud-native environment. The ideal candidate will have strong expertise in AWS, Java, Spring framework, and basic Python, along with leadership skills to guide engineering teams and ensure best practices.
Key Responsibilities
Must-Have Skills
Good-to-Have Skills
Qualifications
Soft Skills
Preferred Experience
Qualifications
Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Experian is also proud to be an Equal Opportunity and Affirmative Action employer. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Experian Careers - Creating a better tomorrow together
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more. Experian invests in people and new advanced technologies to unlock the power of data. We have an amazing team of 25,200 people in 32 countries.
Job ID: 148878733
Skills:
Maven, Spring Boot, Sql, Java 8, Spring, Git, Gradle, Core Java, Docker, Restful Apis, Kubernetes, DevOps practices, SQL optimization, CI CD, Microservices architecture
Skills:
Cloud Technologies, React, Core Java, Jsp, Spring, Oracle Queries
Skills:
.NET, .NET Core 6, Nunit, SQL Server, Xunit, Github, Typescript, React, Jasmine, Angular, Kubernetes, Azure, Docker, Jest, Oauth2, Azure DevOps, Restful Apis, Entity Framework Core, OpenID Connect
Skills:
Terraform, Python, AWS, CFT
Skills:
Microservices, Distributed Systems, AWS, Apis, Gcp, Cloud Infrastructure, Azure, safety content filtering, responsible AI controls, RAG implementations, LangGraph, enterprise integration patterns, LLM guardrails, output validation, Kore.ai Agent Platform, LangChain, CrewAI, Generative AI, MCP servers, multi-agent orchestration systems, prompt engineering, AutoGen, LLM evaluation frameworks, LLM-based development, agentic AI applications
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