Founding Platform Engineer
Weekday AI (company site, opens in a new tab)5+ yrsNoidaOn-siteDirect career pageEst. 20–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Architect, build, and operate scalable, secure, and highly available cloud and ML infrastructure primarily on AWS, supporting millions of users and high-concurrency workloads.
- Own deployment, monitoring, scaling, availability, and operational reliability of at least one mission-critical production-grade ML system including GPU and inference workloads.
- Lead site reliability engineering tasks including observability, incident response, infrastructure security, and automation to ensure uptime, fault tolerance, and cost optimization.
Minimum Requirements
- 5+ years of hands-on experience in Site Reliability Engineering, DevOps, Infrastructure Engineering, or Platform Engineering.
- Direct ownership of at least one production-grade ML system with deployment, monitoring, scaling, and operational reliability responsibility.
- Strong AWS expertise and proficiency with Kubernetes, ECS, Docker, Terraform or AWS CDK, and CI/CD pipeline automation.
- Experience with data engineering components such as databases, messaging systems, and distributed processing required.
Ideal Candidate Profile
- Experienced in architecting infrastructure for large-scale, latency-sensitive AI/ML products in startup or high-growth environments.
- Capable of independently managing production ML inference systems including GPU infrastructure and model-serving technologies.
- Demonstrates strong operational ownership with ability to troubleshoot and lead production incident resolution in fast-paced, high-availability systems.