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Blue Yonder

Software Engineer - Python, GenAI

Blue Yonder Bengaluru, Karnataka, India

Software Development · 5,001-10,000 employees

Sep 08
python Mid (2-5 yrs) Full-time India
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About the role

Develop and deploy cloud-native backend services while implementing monitoring and observability practices. Collaborate with distributed engineering teams to contribute to CI/CD pipelines and automated deployment processes.

What they look for

Python GenAI Cloud-native services Backend development APIs Microservices SQL Data structures Algorithms CI/CD Vector databases Agentic AI Azure OpenAI AWS Bedrock EDI standards

Requirements

Requires 2-4 years of software development experience with strong proficiency in Python and backend service architecture. Candidates should have a solid foundation in data structures, algorithms, and experience with SQL and modern AI frameworks.

Full description

Our people are our most important asset. Thank you for considering this opportunity as the next step in your career!

Scope:

  • Contribute small features, bug fixes, and test cases under guidance from experienced team members. Focus on writing clean, maintainable code, performing small refactorings, seeking help when needed, and avoiding unnecessary complexity or premature optimization.

What you’ll do:

  • Develop and deploy cloud-native services on modern platform infrastructure.
  • Implement monitoring, observability, and performance optimization practices.
  • Contribute to CI/CD pipelines and automated deployment processes.
  • Collaborate with globally distributed engineering teams in Agile development environments.

What we are looking for: 

  • 2-4 years of software development experience.
  • Strong hands-on development experience using Python.
  • Experience building backend services, APIs, and microservices.
  • Strong fundamentals in data structures, algorithms, and software design principles.
  • Experience working with SQL and database technologies.
  • AI / GenAI
  • Preferred Qualifications
  • Experience building production-ready GenAI applications.
  • Experience with vector databases such as Pinecone, FAISS, ChromaDB, or Azure AI Search.
  • Exposure to Agentic AI workflows and AI orchestration frameworks.
  • Understanding of enterprise integration and transformation platforms.
  • Knowledge of supply chain, warehouse, transportation, or retail domains.
  • Experience with Azure OpenAI, AWS Bedrock, or enterprise AI platforms.
  • Familiarity with EDI standards and enterprise data exchange technologies.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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