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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.