Databricks
Senior Backend Software Engineer- (AI Platform)
Databricks - Mountain View, California, us, 94039
Work at Databricks
Overview
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Overview
Senior Backend Software Engineer- (AI Platform)
Join to apply for the
Senior Backend Software Engineer- (AI Platform)
role at
Databricks Senior Backend Software Engineer- (AI Platform)
Join to apply for the
Senior Backend Software Engineer- (AI Platform)
role at
Databricks Get AI-powered advice on this job and more exclusive features. 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
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
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Join to apply for the
Senior Backend Software Engineer- (AI Platform)
role at
Databricks Senior Backend Software Engineer- (AI Platform)
Join to apply for the
Senior Backend Software Engineer- (AI Platform)
role at
Databricks Get AI-powered advice on this job and more exclusive features. 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
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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, please visit https://www.mybenefitsnow.com/databricks.
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. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Industries Software Development Referrals increase your chances of interviewing at Databricks by 2x Get notified about new Senior Software Engineer jobs in
Mountain View, CA . Sunnyvale, CA $143,000.00-$286,000.00 4 days ago San Mateo, CA $90,000.00-$150,000.00 1 year ago Senior Developer Events Manager, Google Cloud
Sunnyvale, CA $165,000.00-$245,000.00 4 days ago Sr. Software Engineer, Supply Chain Applications
Tech Lead Software Engineer, TikTok AI Video Editing
San Jose, CA $224,000.00-$410,000.00 2 days ago San Francisco Bay Area $215,000.00-$295,000.00 2 weeks ago Senior Software Development Engineer, Virtual Network
San Jose, CA $194,000.00-$410,000.00 3 weeks ago Software Engineer, Backend (Infrastructure)
Mountain View, CA $136,000.00-$185,000.00 1 week ago Senior / Staff Software Engineer - Computational Chemistry / Molecular Dynamics
Principal Software Engineer - Computational Chemistry / Molecular Dynamics
Sunnyvale, CA $198,000.00-$220,000.00 1 day ago Mountain View, CA $204,000.00-$259,000.00 2 weeks ago Senior Controls Engineer, Core Development
Mountain View, CA $183,825.00-$275,975.00 3 weeks ago Senior System Software Engineer, Power and Thermal Management
Santa Clara, CA $148,000.00-$287,500.00 6 days ago Sunnyvale, CA $117,000.00-$234,000.00 2 weeks ago Software Engineering Technical Leader (Control Plane) --Cisco Hypershield
San Jose, CA $163,900.00-$305,100.00 2 days ago Sr Principal Engineer Software (AIOps for NGFW)
Sr. Software Engineer, Plant Modeling and Tools
Sunnyvale, CA $248,000.00-$349,000.00 4 days ago San Jose, CA $163,360.00-$245,040.00 3 weeks ago Software Engineering Technical Leader (Hybrid Remote- San Jose, CA)
San Jose, CA $198,600.00-$282,900.00 1 week ago San Mateo, CA $448,990.00-$515,210.00 2 weeks ago Manager, Software Quality Engineering in Test
San Mateo, CA $195,500.00-$293,300.00 2 months ago Sunnyvale, CA $142,800.00-$240,600.00 2 days ago Sunnyvale, CA $108,900.00-$186,800.00 1 month ago Senior Developer Relations Manager, CSP Hyperscale
Santa Clara, CA $224,000.00-$425,500.00 5 days ago Redwood City, CA $140,000.00-$198,000.00 2 weeks ago Sr. Software Engineer, HIL Automation, Autonomy
Senior Developer Relations Manager, CSP Hyperscale
San Jose, CA $224,000.00-$425,500.00 5 days ago Senior Software Quality and Compliance Engineer - AD/ADAS Systems
Palo Alto, CA $140,000.00-$230,000.00 2 weeks ago Tech Lead Software Engineer, TikTok Customer Service Platform
San Jose, CA $224,000.00-$410,000.00 2 days ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr