Senior Software Engineer - Money, Infrastructure
Content + Source + Freshness • 12 Dec 2025 • 95% confidence
Offer value
Very high value role in a core engineering team, contributing directly to product evolution crucial for client success.
- Integral role in ML and AI product development
- Outstanding compensation with potential equity
- Innovative environment at the intersection of engineering and product
Pros
- Critical position driving engineering in a high-growth area
- High earning potential with stock options
- Unique opportunity in a startup-like environment within a well-established firm
Cons
- High expectations for experience (7+ years)
- Intense workload and potential work pressure
- Need for proficiency across multiple technologies
Who it's for
Senior • On-site in Bengaluru
Good fit
- Senior engineers looking for leadership roles
- Professionals eager to work on cutting-edge technologies
- Candidates who thrive in dynamic and collaborative settings
Not recommended for
- Newcomers to software engineering
- Individuals preferring strict routines
- Those uncomfortable with high-stakes projects
Motivation fit
Key skills
About the job
P-1346
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. Databricks Mosaic AI offers a unique data-centric approach to building enterprise-quality, Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively own and host ML and Generative AI models, augmented or trained with their enterprise data. And we're only getting started in Bengaluru , India - and currently in the process of setting up 10 new teams from scratch !
The Money team's mission at Databricks is to maximize the value that our customers derive from their investments in data projects. We accomplish this through innovative commercialization strategies, timely & accurate billing, cost optimization tools, intelligent resource usage controls, and cutting-edge engineering. We provide a seamless and consistent experience set of platforms for all Databricks products to reach customers.
As one of the first engineers for Money at Databricks India, you will be key to building a base for one of Databricks’ most central engineering teams. You will own critical components that form the backbone of our products, starting with Databricks’ resource admission control and usage governance infrastructure. Your role is crucial in helping bring diverse business needs together, including abuse prevention, product commercialization motions, and reliable product availability at scale. You will work closely with infrastructure as well as product teams in bringing critical governance functionality to Databricks customers.
The impact you will have:
- Design and manage Money systems and services, governing usage of all Databricks products and offerings
- Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection
- Collaborate with infrastructure and product teams to develop and implement innovative infrastructure that scales to meet evolving needs
- Contribute to long-term vision and requirements development for Databricks products, in partnership with our engineering teams
What we look for:
- BS (or higher) in Computer Science, or a related field
- 7+ years of production level experience in one of: Java, Scala, C++, or similar language
- Comfortable working towards a multi-quarter vision with incremental deliverables
- Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
- Experience with software security and systems that handle sensitive data
- Demonstrated ability to lead engineering projects across functional and organizational boundaries
- A proactive approach and a passion for delivering high-quality solutions
- Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
