Database AIOps Infrastructure Engineer-Singapore

About The Role

We are looking for an AI Infrastructure Engineer to join our Database Autonomy Service (DAS) team, where you will design and deliver AI-driven operations capabilities that make database services self-recoverable, performant, and secure at scale. You will work at the intersection of distributed databases, large-scale operations tooling, and applied AI — shaping the next generation of autonomous database management.

Responsibilities

Design, develop, and ship features for the Database Autonomy Service (DAS), spanning anomaly detection, root cause diagnosis, performance tuning, and security hardening across PolarDB, MySQL, PostgreSQL, Redis, MongoDB, and other supported engines.

Drive the AI-native transformation of DAS by exploring AI Agent technologies and building autonomous operations agents that augment — and progressively automate — day‑to‑day database operations.

Own the full lifecycle of the features you build, including on‑call rotation, escalated ticket resolution, bug triage, incident diagnosis, customer experience improvements, and performance/cost optimization.

Job Requirements

Required Qualifications

Master's degree in Computer Science, Artificial Intelligence or a closely related discipline.

2+ years of backend engineering experience, working on databases, AI applications, agentic systems, operations platforms, or comparable infrastructure products.

Proven ability to lead the design and implementation of core modules or system-level architectures, with a strong track record of delivering high-quality, robust software.

Excellent cross‑functional collaboration skills, with demonstrated success partnering with upstream and downstream teams to define roadmaps and deliver on shared goals.

Preferred Qualifications

In-depth, hands‑on experience with mainstream database systems and their operational ecosystems (monitoring, diagnostics, HA, backup/restore, etc.).

Prior exposure to AIOps, LLM‑powered agents, or autonomous systems in a production environment.

Open-source contributions or publications in the database / AI / system domains.

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