Senior Software Engineer (Backend) - AI/ML Environments
Posted by employer 1 year ago
First seen on Joblaze 6 months ago
Last verified on the company career page 5 hours ago
Skills & Technologies
Requirements
- Experience
- 5+ years
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role, the Senior Software Engineer will focus on developing infrastructure that allows AI researchers and engineers to efficiently configure their training and serving environments. Key skills include strong programming in Python, Scala, or Java, along with experience in distributed systems and cloud-native infrastructure. This position is ideal for seasoned engineers with a product-oriented mindset who are eager to tackle complex technical challenges. The team operates at the cutting edge of AI infrastructure, collaborating closely with various stakeholders to enhance the Databricks platform.
Joblaze insights
- Listed about 6 months ago — first seen on Joblaze April 14, 2026. Last confirmed on Databricks's careers page November 1, 2026.
- Salary band is in line with the typical range for Backend roles (median ~$180,000).
- Starts above 38% of 162 comparable senior backend roles in United States that list Python we track (median $173,958 across 64 companies). See Python salary trends
- Python appears in 41.2% of 520 comparable senior backend roles in United States; deployment pipelines appears in 0.2% of 520 comparable senior backend roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $166,000–$220,000 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Software Engineer (Backend) - AI/ML Environments role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Java, Python, Scala, cloud-native infrastructure, containerization, dependency management.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer (Backend) - AI/ML Environments role at Databricks.
From the original posting
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.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.