Staff Backend Software Engineer
Databricks is hiring a Staff Backend Software Engineer in New York, United States. It pays $190k-$261k a year and Level rates it ; you can apply on Databricks.
Level's read on this job
- On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
- Pay on this posting starts 13% higher than the typical software engineer posting on Level.
- The posting mentions Bedrock and Vertex AI among its tools and skills.
- Level classes it as a lead role.
- Databricks has 894 other open roles on Level.
AI in this role
P-1592
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 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 Unity AI Gateway team, you'll build the control plane that every AI request at Databricks passes through: partner and self-hosted models, agents, coding assistants, and MCP servers. It enforces budgets, routes each request to the right model, and applies guardrails inline. Unity AI Gateway is one of our fastest-growing businesses, moving trillions of tokens per week for thousands of customers.
The impact you will have:
- Build the routing layer that picks the right model for each request across quality, cost, latency, availability, and remaining budget
- Improve reliability, latency, and efficiency of distributed AI workloads
- Collaborate with research, platform, infra, and AI/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:
- 8+ years of experience in backend or infrastructure engineering
- Strong programming skills in Scala, or Go
- Experience with distributed systems, high-throughput 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, AI infrastructure, or GPU orchestration
- Exposure to platforms like Bedrock, Vertex AI, or Azure ML
- Experience building 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$190,000—$261,250 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.
How we rate this
Staff Backend Software Engineer at Databricks rates 8 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $190k
- Typical software engineer job
- $168k
This posting starts 13% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- What's a project where you used Bedrock hands-on?
- Walk me through how you've used Vertex AI in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Bedrock and Vertex AI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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