#21272_R-81648
nical direction, architectural guidance, and delivery maturity, helping deliver high‑impact consumer and enterprise experiences. You lead with curiosity, problem‑solving rigor, and a commitment to elevating the maturity of Supply Chain, Planning, and Corporate technology capabilities across the enterprise.
Details on qualifications:
Bachelor's degree in computer science, Engineering, or a related field.
7+ years of professional software engineering experience building and operating production systems.
Experience in microservices architecture, domain driven design, and RESTful API's using languages such as Node.js and python
Experience using cloud services to build an integrated application (AWS - EC2, ECS, API gateway, Lambda, Relational and Non-relational Databases), and container orchestration (Docker/Kubernetes).
Hands on experience with automated testing frameworks for API, UI, and service level testing (e.g., Selenium, Cypress, Playwright, REST assured, Postman, Karate).
Experience with implementing CI/CD and leading teams with DevOps responsibilities of deploying and supporting the software in production
Proven delivery excellence in highly collaborative, multi-disciplinary teams.
Expertise in microservices architecture, domain driven design, RESTful services,
Proficiency in one or more of: Java/Kotlin, JavaScript/TypeScript, Python, or Go.
Good to have experience with observability & monitoring tools (e.g., Splunk, SignalFx)
Familiarity with messaging and streaming platforms (e.g., Kafka, Event Hubs).
Knowledge of secure coding practices, identity and access management, and compliance considerations.
Exposure to Supply Chain and Corporate domains, such as inventory, order management, logistics, warehouse management, and financial systems.
Experience implementing or integrating with ERP platforms.
Strong problem-solving skills, with experience troubleshooting complex, distributed systems.
Excellent verbal and written communication skills, with the ability to engage both technical and business stakeholders.
Eagerness to learn and apply AI driven solutions to improve engineering productivity and system outcomes, and operational efficiency
Strong collaboration and A growth mindset - curious, adaptable, and energized by evolving technology.
WHAT YOU'LL WORK ON