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Mid-level backend role, popular title, metro location, and known employer make applicant competition high.
Core backend and cloud skills transfer well, but security and distributed-systems depth increases domain specificity.
Explicit 4+ years and mandatory distributed-systems, cloud, and orchestration skills make shortlisting stringent.
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Own end-to-end design, deployment, and continuous improvement of backend systems with a focus on quality and automation.
Introduce new architectural techniques and best practices to enhance scalability, efficiency, and reliability of distributed systems.
Build tooling and observability for monitoring system health, identifying bottlenecks, and resolving instabilities proactively.
4+ years of professional software engineering experience focused on backend/distributed systems.
Experience building and operating production-grade systems at scale in cloud environments (AWS, Azure, GCP).
Experience with microservice design, API gateways, event streaming (Kafka/Kinesis), and container orchestration (Kubernetes/Docker).
Strong debugging, instrumentation, and observability skills across distributed systems.
Experienced engineer comfortable building systems from scratch and balancing rapid iteration with long-term maintainability.
Skilled in backend distributed systems development using Python, Go, or Rust and knowledgeable in DevOps workflows and CI/CD pipelines.
Preference for candidates with experience in AI-assisted development tools and/or AI engineering applications, or startup experience as an early engineer or founder.