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Job Description
Structured overview of role & requirementsAbout This Role
Design, build, and operate large-scale distributed platform services and APIs using Java and Python on Kubernetes or similar cloud-native infrastructure.
Own platform reliability, scalability, observability, and operational excellence including SLOs, distributed tracing, alerting, and incident response.
Drive technical direction, architecture, and engineering standards while partnering with data engineers and ML engineers to enable AI, GenAI, and data pipeline capabilities.
Minimum Requirements
8+ years professional software engineering experience with strong proficiency in Java and Python.
Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
Deep expertise with microservices, distributed systems, cloud-native engineering (CI/CD, Kubernetes), and Big Data tools (Spark required).
Operational Excellence mindset mandatory: experience with SLO/SLA ownership, incident management, reliability metrics, and continuous improvement.
Ideal Candidate Profile
Experienced in 0-to-1 environments with strong ownership and ability to translate ambiguous problems into actionable plans.
Hands-on engineer who codes regularly and mentors teammates, drives architectural decisions without management authority.
Practically skilled in integrating AI/GenAI technologies and agentic workflows, with strong domain-oriented and low-level system design expertise.