Software Engineer (Backend - SDE 2)
Databricks
Salary undisclosed
Need a reasonable accommodation to apply or interview? Contact us.
JobMinglr uses automated technology to recommend jobs based on profile information and job preferences. Match Score does not determine eligibility for a position, prevent a user from viewing or applying to a job, or make hiring decisions on behalf of an employer.
Description
P-928
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. And we're only getting started in Bengaluru , India ! As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale.
The impact you'll have:
Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and infrastructure. For example, you might work on challenges such as:
- Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers.
- Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services.
- Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization.
What we look for:
- BS (or higher) in Computer Science, or a related field
- 3+ years of production level experience in one of: Python, Java, Scala, C++, or similar language.
- Experience developing large-scale distributed systems from scratch
- Experience working on a SaaS platform or with Service-Oriented Architectures
- Proficiency in one or more backend languages such as Java, Scala, or Go.
- Hands-on experience in developing and operating backend systems.
- Ability to contribute effectively throughout all project phases, from initial design and development to implementation and ongoing operations, with guidance from senior team members.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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 click here.
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.
About this role
Databricks is building the data and AI infrastructure that powers thousands of enterprises globally, and this backend role sits at the heart of that mission. As an SDE 2, you'd contribute to foundational platform work—whether that's resource management across cloud providers, service infrastructure abstractions, or developer tooling optimization. The work spans distributed systems at scale, with current emphasis on enhancing the Rust development experience across the organization.
You'll need at least three years of production experience in languages like Python, Java, Scala, or C++, plus hands-on familiarity with large-scale distributed systems and SaaS or service-oriented architectures. The role expects you to own work across the full lifecycle—from design through implementation and operations—while learning from senior engineers. Proficiency in backend languages such as Java, Scala, or Go is important, as is comfort operating systems in production.
This is a fully remote position based in Bengaluru, suited for someone ready to tackle infrastructure challenges at Databricks' scale and scope.
How this employer is doing
average
- H1B: Active Visa Sponsor
- News: Legal Issue
- Active Visa Sponsor
This role's local market on JobMinglr
Pay for this role
The employer didn't post a pay range for this role. That usually means pay is set in negotiation, which favors whoever arrives with numbers. Check ranges on comparable Software Engineer (Backend - SDE 2) postings in Bengaluru, and analyze any offer before you accept it.
Before you apply, worth reading
How JobMinglr reads this job
Every listing here is scored against your profile before you apply: skills overlap, experience level, location and work arrangement, each weighted and explained. You see the score and the reasons, not just a list. How the matching works.