Joblaze summary

In this role, the Staff Backend Software Engineer will focus on developing the foundational infrastructure that supports various AI applications, including model training and serving. Key skills include strong programming abilities in Scala, Go, or Python, along with experience in distributed systems and cloud-native architectures. This position is ideal for seasoned engineers with over five years of experience who are passionate about building robust solutions in a fast-paced, innovative environment. The team operates at the cutting edge of AI infrastructure, collaborating closely with product and research teams.

Joblaze insights

Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page October 28, 2026.
Salary band is in line with the typical range for Backend roles (median ~$180,000).
Starts above 10% of 81 comparable staff backend roles in United States that list Go we track (median $217,000 across 32 companies). See Go salary trends
Go appears in 33.6% of 307 comparable staff backend roles in United States; cloud-native infrastructure appears in 0.3% of 307 comparable staff backend roles in United States.

Quick facts

What's the salary range?: Databricks lists $166,000–$225,000 for this role.
How much experience is required?: At least 5 years of relevant experience for this Staff Backend Software Engineer- (Databricks AI) role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI Gateway, Agent Bricks, Agent Framework, Azure ML, Databricks Apps, Foundation Model APIs.
What seniority level is this role?: Databricks targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Backend Software Engineer- (Databricks AI) role at Databricks.

From the original posting

P-1428

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.

We’re hiring across multiple teams in our AI Engineering org including:

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

$166,000—$225,000 USD

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Staff Backend Software Engineer- (Databricks AI)

The impact you will have:

What we look for:

Bonus points for:

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