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Strong employer brand, mid-level backend role, and common skillset increase applicant competition significantly.
Core backend and cloud skills are transferable, but domain experience in distributed systems/cloud gives moderate industry preference.
Explicit 4+ years requirement plus mandatory backend, cloud, and distributed-systems skills raise filter strictness.
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Design, develop, and deploy backend/distributed systems with end-to-end ownership focusing on quality, automation, and continuous improvement.
Introduce and implement architecture and best practices for scalability, efficiency, and reliability in cloud environments.
Build tooling for system observability and stability; balance rapid iteration with long-term maintainability.
4+ years of professional experience in backend or distributed systems engineering.
Experience building and operating production-grade systems at scale in cloud environments (AWS, Azure, or GCP).
Experience with microservices, API gateways, event streaming (Kafka/Kinesis), container orchestration (Kubernetes/Docker), and DevOps/CI-CD pipelines.
Work Experience Required: 4+ years
Experienced in large-scale distributed systems development primarily using Python, Go, or Rust.
Demonstrates strong ownership of complex technical problems and has rapid learning ability.
Has background or interest in AI-assisted development tools and possibly AI engineering or startup environments.