Database AIOps Infrastructure Engineer-Singapore

Alibaba Cloud; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Alibaba Cloud is hiring an AI Infrastructure Engineer in Singapore to design and deliver AI-driven operations for the Database Autonomy Service (DAS). You will work across PolarDB, MySQL, PostgreSQL, Redis, MongoDB and other engines to make databases self-recoverable, performant and secure at scale.

You will lead the design and implementation of core modules, drive the AI-native transformation of DAS with autonomous agents, and own features end-to-end including on-call rotation, incident

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 design and implementation of core modules or system-level architectures with a track record of robust software.
• Excellent cross-functional collaboration with upstream and downstream teams to define roadmaps and deliver on shared goals.

Responsibilities

• Design, develop, and ship features for the Database Autonomy Service (DAS) across multiple engines.
• Drive AI-native transformations by exploring AI Agent technologies and autonomous operations agents.
• Own the full lifecycle of features, including on-call rotation, incident diagnosis, and performance optimization.

Skills

Backend engineering

Database systems

System design

Cross-functional collaboration

Education

Master's degree in Computer Science, Artificial Intelligence or related

Job description

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.