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Tier-1 brand, mid-level generalist title, metro location, and flexible/remote options create high competition.
Deep backend and database-observability expertise required, limiting easy cross-industry transfers.
Mandatory 5+ years plus specific backend, database, distributed-systems, and observability tech requirements increases strictness.
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Own the end-to-end development and operation of next-generation database observability solutions, including lightweight agents, ingestion pipelines, and intelligent diagnostic AI engines.
Architect and build scalable, high-throughput, low-latency backend services, APIs, and event-driven architectures handling database telemetry and AI analysis workflows.
Implement AI-driven automation for database root-cause analysis, optimization recommendations, and incident investigation using advanced AI models and techniques.
5+ years of professional software engineering experience.
Proficiency in at least one backend language: Go, Java, or Python, with strong knowledge of concurrency and distributed systems.
Hands-on experience with both relational databases (PostgreSQL, MySQL, MSSQL, Oracle) and NoSQL datastores (Redis, MongoDB, Cassandra).
Proven ability to design and operate high-throughput, fault-tolerant backend architectures and RESTful or GraphQL APIs.
Experienced in building and scaling production-grade distributed systems focused on telemetry and observability data.
Comfortable working with asynchronous programming models and event-driven architectures using messaging systems like Apache Kafka.
Has exposure to AI-assisted development tools and familiarity with AI/ML concepts applied to intelligent diagnostics and autonomous agents for databases.