Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
Senior Software Engineer (Backend) - AI/ML Environments
✓ This company has sponsored visas before. The posting doesn't say so, but it's still worth applying.
ICT
💰 Salary Not shared
📊 Market ₹14,000–₹22,000/mo (₹168,000–₹264,000/yr)
About the Company
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. 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.
Role & Responsibilities
- ● 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.
Requirements
Experience
- ● 5+ years of experience in backend or infrastructure engineering with a focus on building systems
- ● Experience with distributed systems, scalable APIs, or cloud-native infrastructure
Skills
- ● Strong programming skills in Python, Scala or Java
- ● 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.
Benefits
- ● eligibility for annual performance bonus
- ● equity
Confirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
Saving to your tracker…
Stand out: message someone at Databricks.
A short, personal note to a recruiter can get your application looked at sooner.
⚡ Full Resume Sandbox Canvas