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Strong brand, generic mid-level backend title, common tech stack, and metro location increase applicant density.
Backend, cloud, and distributed-systems skills are highly transferable across industries.
Explicit 4+ years plus mandatory backend, cloud, distributed-systems, and tooling experience increases strictness.
Own end-to-end problem solving from design to deployment focusing on quality, automation, and continuous improvement.
Introduce and implement new architecture and best practices for scalability, efficiency, and reliability of backend distributed systems.
Build tooling and observability for system health monitoring and proactive issue resolution in cloud-based production systems.
4+ years of professional software engineering experience focused on backend/distributed systems.
Experience building and operating production-grade systems at scale in cloud environments such as AWS, Azure, or GCP.
Proficiency with large-scale distributed systems programming in Python, Go, or Rust, including microservices design, API gateways, event streaming (Kafka/Kinesis), and container orchestration (Kubernetes/Docker).
Strong debugging, instrumentation, and observability skills across distributed systems.
Engineer who thrives in fast-moving, collaborative environments and enjoys building products from scratch including early-stage system iteration and architecture design.
Experience with DevOps workflows and CI/CD pipelines is highly desirable, familiarity with CloudBees or Harness is a plus.
Bonus if experienced in AI engineering, agentic AI applications with LLM frameworks, or startup experience as a founder or early engineer building products from scratch.