Founding Platform Engineer
Weekday AI (company site, opens in a new tab)5+ yrsGurugramOn-siteDirect career pageEst. 18–35 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Architect, build, and operate core cloud platform infrastructure to support large-scale AI applications on AWS with Kubernetes and containerized workloads.
- Own deployment, monitoring, reliability, and scalability of mission-critical production ML systems including large language models and GPU-based inference.
- Design and manage distributed data pipelines, observability, incident management, and secure, scalable infrastructure for high concurrency and sensitive operations.
Minimum Requirements
- 5+ years experience in Site Reliability Engineering, DevOps, Infrastructure, or Platform Engineering.
- Direct ownership of at least one production-grade ML system including deployment, monitoring, scaling, and reliability.
- Strong expertise in AWS cloud infrastructure, Kubernetes, ECS, Docker, Terraform or AWS CDK, and CI/CD pipelines.
- Location: NCR, Gurgaon, Haryana, India; Work Experience Required: 5+ years
Ideal Candidate Profile
- Experienced in managing GPU infrastructure and production-scale ML inference systems, preferably with LLMs or speech AI models.
- Proven ability to architect and operate low-latency, highly available infrastructure in fast-paced startup or high-scale AI/ML environments.
- Strong background in distributed systems, production incident handling, automation, and infrastructure security for sensitive data and concurrent workloads.