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Popular backend title, mid-level experience, metro location, and strong funding increase applicant competition.
Core Python backend skills transferable, but Temporal and workflow specialization increase industry specificity.
Explicit 6+ years, non-negotiable Python and Temporal, plus production ownership make filters strict.
Own and drive the backend architecture, API design, reliability, and long-term technical direction of the company's AI-powered supply chain automation platform.
Lead backend service operations including observability, alerting, on-call readiness, and early regression detection to maintain high system reliability.
Design, build, and maintain durable workflows using Temporal or equivalent workflow engines with robust failure handling, versioning, and operational visibility.
6+ years experience building and operating production backend systems in Python with end-to-end ownership, not just feature delivery.
Strong expertise in Python, including knowledge of async vs sync, framework choices, and performance tradeoffs.
Experience with Temporal or comparable durable workflow engines in production environments.
Demonstrated reliability focus including idempotency, retries, observability, and operational readiness.
Experienced backend engineer with ownership mindset who can maintain a holistic view of the system and proactively improve it before issues arise.
Proficient in complex workflow engineering and durable execution patterns, able to innovate to deliver 10x improvement in underinvested areas such as workflow systems or AI-native backend.
Comfortable making and documenting foundational technical decisions with conviction, and evolving them thoughtfully as system complexity grows.