Senior Software Engineer - AWS, GenAI & Microservices

Experian

Nottingham

Hybrid

GBP 70,000 - 100,000

Full time

14 days+

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Benefits offered by this job

Hybrid working model
Competitive compensation + bonus
Pension, healthcare, sharesave and更多

Job summary

Experian is seeking a Senior Software Engineer to design scalable, secure software with strong .NET/C# expertise. You will build and deploy in AWS, contribute to Generative AI initiatives, and guide a team through the full development lifecycle in an agile environment.

You will work with cross‑functional teams to deliver high‑quality features on time, using CI/CD practices and modern tooling in a hybrid work model.

Qualifications

  • Commercial .NET and C# experience.
  • API and microservices development.
  • Cloud expertise and certification (AWS).
  • Generative AI exposure with evidence of completed GenAI projects (e.g., Cursor, Copilot).
  • CI/CD and DevOps knowledge.
  • Understanding of RESTful APIs, microservices, and containerization (Docker/Kubernetes).

Responsibilities

  • Develop software solutions using modern programming languages and frameworks.
  • Build and deploy applications in AWS cloud environments, using services such as EC2, Lambda, S3, and RDS.
  • Collaborate on Generative AI programs, integrating AI models into applications and exploring automation opportunities.
  • Write clean, maintainable code and follow best practices for testing and CI/CD.
  • Work with cross‑functional teams to deliver high‑quality features on time.

Skills

NET/C#
API & Microservices
AWS Cloud
GenAI
CI/CD
RESTful APIs

Tools

Docker
Kubernetes
AWS

Job description

Experian is seeking a Senior Software Engineer to design scalable, secure software with strong .NET/C# expertise. You will build and deploy in AWS, contribute to Generative AI initiatives, and guide a team through the full development lifecycle in an agile environment.

You will work with cross‑functional teams to deliver high‑quality features on time, using CI/CD practices and modern tooling in a hybrid work model.

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