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Salary
≈ $27k – $56k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Staff

First seen by Alion on Oct 9, 2026.

Overview
Company
Impact
Profile match
Blue Yonder provides software solutions that address the supply chain management, business process, analytics, application, and e-commerce requirements of the retail industry.

Lead the design, development, and delivery of Blue Yonder's next-generation cloud-native Supply Chain Data Platform. The role involves architecting scalable, secure, and highly available microservices, collaborating with global product and engineering teams, and driving technical excellence across the software development lifecycle. The ideal candidate combines strong hands-on development expertise with architecture, mentoring, and operational excellence.

Responsibilities:

  • Lead the architecture, design, and development of Blue Yonder's next-generation Supply Chain Data Platform using cloud-native microservices and event-driven architecture.
  • Collaborate with Product Management, Professional Services, and global engineering teams to translate business requirements into scalable, secure, and high-quality software solutions.
  • Drive engineering excellence through clean code, architecture reviews, performance optimisation, code reviews, CI/CD improvements, automation, and operational best practices.
  • Mentor engineers, contribute to hiring, lead technical discussions, resolve production challenges through root cause analysis, and continuously improve platform reliability, scalability, and developer productivity.
  • Participate in the engineering on-call rotation, providing backend support, incident resolution, root cause analysis, and continuous improvements to platform reliability.

Requirements:

  • Strong hands-on experience in Java, Spring Boot, Microservices, REST APIs, OAuth, Kafka, Snowflake, and cloud-native application development on Microsoft Azure or similar cloud platforms.
  • Proven experience designing and building scalable, resilient, multi-tenant SaaS platforms using distributed microservices, event-driven architecture, Kubernetes, Docker, and DevOps practices.
  • Experience with Big Data and distributed technologies such as Snowflake, Spark, Scala, Elasticsearch, NoSQL/RDBMS, along with performance tuning and high-availability architectures.
  • Strong technical leadership with experience in software architecture, secure coding, mentoring engineers, code reviews, stakeholder collaboration, Agile development, and driving continuous improvement across engineering teams.
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