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Known SaaS, mid-level backend role with remote flexibility and metro location creates high candidate competition.
Requires deep backend, database, and observability experience, making background fit highly domain-specific.
Explicit 5+ years requirement plus mandatory backend, database, and scalable systems experience enforces high shortlisting strictness.
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Own full lifecycle of database observability data flows including lightweight agents, high-throughput ingestion pipelines, and intelligent DB recommendation and AI diagnostic engines.
Architect and scale backend services and APIs for database metrics, telemetry, and automated root-cause analysis using AI, handling distributed systems and event-driven architectures.
Drive integration of AI agents for autonomous incident investigation and natural-language querying within observable distributed database environments.
5+ years experience building and operating production-grade software.
Proficiency in at least one major backend language: Go, Java, or Python, with strong knowledge of concurrency and distributed systems.
Deep hands-on expertise with both relational databases (PostgreSQL, MySQL, MSSQL, Oracle) and NoSQL datastores (Redis, MongoDB, Cassandra).
Experience designing high-throughput, fault-tolerant backend architectures and RESTful or GraphQL APIs.
Experienced in distributed event-driven system architectures and real-time data streaming, e.g., Apache Kafka.
Skilled in building intelligent diagnostic tools for databases involving query optimization, index recommendations, or automated EXPLAIN plan analysis.
Comfortable leveraging AI-assisted coding tools and integrating AI/ML models within backend systems.