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Remote role, popular Backend title, mid-level experience, metro reach, and broad skill requirements increase competition.
Backend engineering skills are highly transferable across industries, lowering background sensitivity.
Explicit 5+ years and mandatory Java/Go, Kafka, cloud, Kubernetes, and observability requirements increase filter strictness.
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Design and build scalable backend services using Java or Go, focusing on low-latency, high-throughput systems.
Own production monitoring, incident response, root-cause analysis, performance tuning, and reliability improvements for backend systems.
Develop reliable REST, gRPC, and GraphQL APIs and design distributed systems, microservices architectures, and event-driven data models.
5+ years of backend engineering experience building scalable, low-latency, and highly reliable systems.
Strong programming skills in Java or Go.
Experience with distributed systems, microservices, Kafka, caching systems (Redis/Valkey), Elasticsearch, SQL, NoSQL databases, and cloud platforms (AWS or GCP).
Experience with containerization and orchestration tools (Docker, Kubernetes), CI/CD pipelines, and monitoring tools (Prometheus, Grafana).
Senior-level engineer with strong system design, debugging, testing, and end-to-end production ownership capabilities in high-growth B2C product environments.
Experienced in distributed systems and event-driven architectures with operational accountability for reliability and performance.
Preferably someone with knowledge or experience in AI-powered applications, search/recommendation systems, or data engineering as value additions.