Position Details
About this role
This role focuses on developing infrastructure for AI/ML environments, enabling efficient training and deployment of AI models within Databricks.
Key Responsibilities
- Build infrastructure for ML/AI environments
- Improve performance of virtual environments
- Collaborate on AI infrastructure features
- Enhance system observability
- Support deployment pipelines
Technical Overview
The technical scope includes Python, Scala, Java, distributed systems, scalable APIs, cloud-native infrastructure, and containerization technologies, aimed at AI/ML system support.
Ideal Candidate
The ideal candidate is a senior backend engineer with over 5 years of experience in Python, Scala, or Java, with strong expertise in distributed systems and cloud-native infrastructure. They should have a product and ownership mindset, capable of building scalable AI/ML environments.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of experience, No experience with distributed systems, Lack of experience with cloud-native infrastructure, No experience with virtual environments or containerization
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