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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate distributed platform services and APIs using Java and Python on Kubernetes or equivalent cloud-native infrastructure.
Own reliability, scalability, and observability for the services, including SLOs, incident response, and operational excellence.
Collaborate across teams on architecture, data engineering, and AI/agentic platform capabilities, while mentoring junior engineers and contributing to reviews.
Minimum Requirements
5+ years professional software engineering experience building and operating distributed platforms.
Strong proficiency in Java and Python; experience with Kubernetes and cloud-native engineering practices.
Bachelor's or Master's degree in Computer Science, Engineering, or equivalent practical experience.
Working knowledge of Spark and exposure to AI/agentic technologies, reliability engineering, and security practices.
Ideal Candidate Profile
Experienced in end-to-end ownership of distributed platform services and operational responsibilities in a 0-to-1 environment.
Strong system design and low-level design skills, with ability to handle complex trade-offs and failure modes.
Able to work cross-functionally with data engineering, AI/ML teams and contribute to next-gen AI-powered platform capabilities.