7+ years of professional experience in backend software engineering, with at least 1+ years operating at a staff level or equivalent.
Proven experience designing and scaling backend systems in production — with a strong grasp of distributed systems, microservices, and service-oriented architecture.
Advanced proficiency in one or more backend languages from Go, Java, and Python.
Good understanding of cloud-native architectures (AWS, GCP, or Azure), containerization (Docker), and orchestration (Kubernetes).
Deep knowledge of data modeling, API design (REST/GraphQL/RPC), caching, SDKs, developer tooling and asynchronous systems (queues, event buses).
Strong understanding of servers, database metrics, and observability.
Experience implementing secure, observable, and testable systems.
Familiarity with CI/CD pipelines, and deployment tooling (GitHub workflows, CircleCI, etc.).
Excellent communication and collaboration skills; able to drive alignment across teams
Preferred Qualifications
Experience working on data-intensive SaaS platforms, scalable backend services, or high-throughput data processing systems.
Familiarity with event-driven and domain-driven design.
Deep understanding of data structures, algorithms, system design, and architectural patterns.
Background in leading technical initiatives across multiple teams and contributing to org-level architecture.
Strong bias for action and ownership; comfortable making architectural decisions with long-term impact.
Experience in mentoring up to SDE 3 engineers and participating in technical hiring loops.
