Design and build production-grade systems that are reliable, scalable, and observable.
Own systems end-to-end: problem → design → data → implementation → deployment → operations.
Work across services, distributed systems, infrastructure, data pipelines, and ML systems.
Debug complex production issues across multiple layers.
Make engineering trade-offs grounded in first principles.
Improve performance, latency, reliability, and cost efficiency.

🎯 Requirements

Strong CS fundamentals (DSA, OS, networking, distributed systems).
Solid probability and statistics.
Experience building production systems at scale.
Ability to move across languages (Go, Java, Python, Rust, SQL).
Comfort with Linux, containers, Kubernetes.
Strong debugging skills and failure-mode reasoning.

🎁 Benefits

Culture – people-first, learning, and growth.
Learning – knowledge sharing and internal tech talks.
Compensation – salary, pension, health insurance, paid leave.

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