Sr. Software Engineer- Backend
- Pay
- $165,300 – $219,675 per year
- Location
- New York City, NY · On-site
- Job type
- Full-time
- Level
- Senior
- Experience
- 5+ years
- Listed
- 30 days ago
Skills & highlights for this role
- Scala
- Go
- Python
- distributed systems
- scalable APIs
- cloud-native infrastructure
Also useful
- MLflow
- PyTorch
- Ray
- SageMaker
- Vertex AI
- Azure ML
P-1591
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 AI Platform team, you'll build the substrate that powers everything from data apps, AI agents, model training, model serving, and vector search. 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 infrastructure that powers our flagship offerings like MLflow, AI Gateway, Databricks Apps, Agent Framework, Agent Bricks, and Foundation Model APIs, to state a few.
- Improve reliability, latency, and efficiency of distributed AI workloads
- Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences
- 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
- Strong programming skills in Scala, Go, or Python
- 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
Bonus points for
- Experience with real-time serving, ML infrastructure, or GPU orchestration
- Exposure to platforms like SageMaker, Vertex AI, or Azure ML
- Contributions to OSS projects like MLflow, PyTorch, or Ray
- Built developer platforms or internal tools supporting AI workflows
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 $165,300—$219,675 USD
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
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 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.
Equal opportunity and legal notices
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.
From Databricks's careers page, first listed on Rolev.ai on October 10, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
What is the salary for the Sr. Software Engineer- Backend role at Databricks?
The Sr. Software Engineer- Backend posting at Databricks states compensation of $165,300 – $219,675 per year. It is listed as a full-time position. Final pay may depend on location, experience, and interview evaluation on Databricks's official career site.
Where is the Sr. Software Engineer- Backend job at Databricks located?
This Sr. Software Engineer- Backend position at Databricks is located in New York City, NY (On-site). Always check Databricks's application page for specific state eligibility or relocation policies.
What qualifications are required for Sr. Software Engineer- Backend at Databricks?
For the Sr. Software Engineer- Backend role, Databricks highlights 5+ years of relevant experience; experience with Scala, Go, Python, distributed systems, scalable APIs, cloud-native infrastructure. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Sr. Software Engineer- Backend position at Databricks?
This listing links directly to Databricks's Greenhouse application page. You can apply directly on Databricks's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Greenhouse application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.