🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
CSQ227R231 Mission The Director of Data & AI Support Engineering - Bangalore will be responsible for leading and growing a regional team of Data & AI technical experts in India, focused on providing resiliency and smooth operation of customer production workloads. This leader will oversee support operations during APJ and EMEA business hours with close alignment with other global teams to ensure 24x7 support coverage through coordination with other regions. This team resolves complex and long-running data engineering use cases raised by Databricks customers to support the success of live use cases - which includes performance optimization, ensuring resiliency of production jobs, helping customers stabilize workloads on current products and features, and more. Reporting to the Global Lead of Frontline Support Engineering - Data & AI - you are able to understand the real-world business problems our customers are solving with data and are committed to helping them achieve reliability and performance of their systems to meet their goals. The impact you will have: - Serve as the India site leader for an elite team of Data & AI specialists that can provide coverage of customers across EMEA & APJ business hours. - Grow the technical expertise of the team to support successful adoption of new products and features of the Databricks platform for customer production workloads. - Engage with top customers to understand how to support their business needs with their Data & AI strategy, in collaboration with field engineering and sales when required. - Partner with internal product engineering teams to make Databricks products better and more supportable. - Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals. Competencies & Requirements - Proven people leadership experience: at least 6+ years as a manager of managers. - 18+ years in the IT industry, with a solid background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience. - Experience leading large teams (100+ employees) in engineering, technical support, or consulting. Support experience is not required - but customer facing experience is highly desirable. - Hands-on experience in at least two of the following at production scale: - Big Data (Spark, Hadoop, Kafka) - Machine Learning / Artificial Intelligence projects - Data Science / Streaming use cases - Spark expertise is a big advantage. - Strong background in customer-facing support leadership roles. - Excellent troubleshooting skills across distributed systems. - Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs. - Bachelors/Masters in Computer Science or equivalent technical field. .
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.