# Senior Software Engineer (Backend) - AI/ML Environments Source: https://realanalystjobs.com/job/senior-software-engineer-backend-ai-ml-environments-databricks-e134e988 Senior Software Engineer (Backend) - AI/ML Environments at Databricks, an on-site role based in Mountain View, California, USA. Experience level: 5+ Years. Pay stated in the posting: $166,000 to $220,000. Posted on 29 October 2025, read from Databricks' own careers page (Greenhouse), which RealAnalystJobs re-checks daily and removes the role when it closes. Databricks has approved H-1B petitions on USCIS record (employer-wide, not a promise for this role). Updated 15 November 2026. ## Key facts - Company: [Databricks](https://realanalystjobs.com/companies/databricks) - Location: Mountain View, California, USA - Work mode: On-site - Pay stated in the posting: $166,000 to $220,000 - Posted: Oct 29, 2025 - Employment type: Full time - Experience level: 5+ Years - Source: Databricks' careers page (Greenhouse), re-checked daily Skills: [Python](https://realanalystjobs.com/skills/python) ## Visa sponsorship The posting does not say. Databricks had H-1B petitions approved for 467 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/databricks#h1b-record) ## About this role P-78 At Databricks, we are passionate about enabling data and AI 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. As part of the ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. You’ll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure - with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We’re building the infrastructure that powers the next generation of AI. The impact you will have • Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly. • Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up virtual environments for short training and data processing sessions, improving observability to help customers debug when runs fail, etc. • Interact with turnkey customers and product managers to envision new features and identify areas for improvement. • Shape how developers and data scientists build and interact with AI on Databricks. What we look for • 5+ years of experience in backend or infrastructure engineering with a focus on building systems • Strong programming skills in Python, Scala or Java • Experience with distributed systems, scalable APIs, or cloud-native infrastructure • Familiarity with service-oriented architecture, deployment pipelines, and system observability • Strong product and ownership mindset - you care about building the right solution, not just any solution • Strong understanding of dependency management technologies including virtual environments or containerization technologies. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here . Local Pay Range $166,000 - $220,000 USD 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. Description from Databricks' public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-software-engineer-backend-ai-ml-environments-databricks-e134e988) and use Apply now there to reach the employer's application. The listing is re-checked against Databricks' careers page daily and removed when it closes. ## Databricks 7 open analyst roles on Real Analyst Jobs. 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