Senior Backend Software Engineer- (AI Platform)
Senior Backend Software Engineer- (AI Platform)
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Salary Not Disclosed
1 Vacancy
Job Description
P-1428
At Databricks we are passionate about enabling data and AI teams to solve the worlds 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 worlds 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 were only getting started.
As part of the AI Platform team youll build the substrate that powers everything from data apps AI agents model training model serving and vector search. Youll 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. Were building the infrastructure that powers the next generation of AI.
Were 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
Required Experience:
Senior IC
Employment Type
Full Time
