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Popular mid-level backend role with broad skill requirements increases applicant competition.
Core backend skills (APIs, databases, cloud) transfer well across industries, so medium sensitivity.
Explicit 2–4 years requirement plus mandatory backend, cloud, and containerization skills raises filter strictness.
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Design, build, and maintain scalable backend services and APIs that power the platform.
Collaborate cross-functionally with product, AI/ML, and frontend teams to ship features end-to-end and participate in architecture decisions.
Monitor, troubleshoot, and resolve production issues while improving system performance, reliability, and security.
2–4 years of backend engineering experience in product/startup environments.
Strong proficiency in Python, Node.js, or Go.
Experience with databases like PostgreSQL, MySQL, MongoDB, Redis and cloud infrastructure (AWS/GCP/Azure).
Familiarity with Docker, Kubernetes, and CI/CD pipelines, and understanding of system design including caching, queues, and distributed systems.
Experienced backend engineer comfortable working in high-ambiguity, fast-paced startup environments.
Technical operator who takes ownership and contributes to both coding and architectural decisions.
Candidate with domain exposure or interest in AI/ML or LLM-based products and scalable distributed systems.