Position Details
About this role
This role involves developing backend infrastructure and distributed systems to support AI workloads, focusing on scalable, cloud-native solutions and ML platform integrations.
Key Responsibilities
- Build scalable backend systems
- Enhance distributed system performance
- Integrate ML infrastructure with cloud platforms
- Develop real-time AI serving solutions
- Contribute to open-source ML projects
Technical Overview
The technical environment includes distributed systems, APIs, cloud-native infrastructure, ML infrastructure, GPU orchestration, and platforms like SageMaker, Vertex AI, and Azure ML, primarily supporting AI and ML workloads.
Ideal Candidate
The ideal candidate is a senior backend engineer with 5+ years of experience in building distributed, cloud-native systems, and expertise in ML infrastructure, APIs, and real-time serving, with a strong product and ownership mindset.
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, Lack of experience with distributed systems or ML infrastructure, No knowledge of cloud platforms like SageMaker or Azure ML, Unwillingness to work on infrastructure at scale
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