Responsibilities
Architect & Develop: Design and implement scalable, fault-tolerant backend services and infrastructure tools using Python, Docker, and Linux.
Deep-Dive Research: Act as the final escalation point for the R&D organization, diagnosing and resolving complex, ambiguous system-wide performance issues and "unsolvable" bugs.
Platform Innovation: Build long-term infrastructure solutions and internal tools to improve R&D efficiency and prevent recurring technical debt.
Technical Leadership: Drive architectural decisions using telemetry data and collaborate across global teams to coordinate cross-functional engineering efforts.
Experience: At least 6 years of professional experience in Backend Software Engineering, specifically building scalable distributed systems.
Python Proficiency: Minimum of 5 years of hands-on experience developing core backend applications in Python.
System Knowledge: Proven expertise in Linux internals, Networking, and Docker containerization.
Problem Solving: Demonstrated track record of diagnosing and resolving low-level performance bottlenecks and complex architectural gaps in production environments.





















