Senior Platform Engineer
Quantiphi (company site, opens in a new tab)4–7 yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, architect, and implement highly available and fault tolerant video streaming and inference systems using Kubernetes, Redis, NVIDIA Triton Inference server.
- Maintain and enhance container infrastructure and scalable Kubernetes architecture with CI/CD integration and monitoring improvements.
- Collaborate closely with Machine Learning research teams and contribute to DevOps and MLOps frameworks and practices.
Minimum Requirements
- Experience: 4 to 7 years in relevant platform engineering roles.
- Strong expertise in Kubernetes including CKAD-level skills for creating scalable cluster architectures and deployments with Helm Charts.
- Proficiency in Core Python with experience in production-grade code, web frameworks like Flask, and database/streaming integrations (Redis, Kafka).
- Location: Mumbai, Bangalore or Trivandrum; Notice period: Immediate joiners with 0-15 days preferred.
Ideal Candidate Profile
- Hands-on experience managing containerized environments with strong Linux expertise, Kubernetes cluster maintenance, and troubleshooting skills.
- Backend development proficiency focusing on scalable, production-ready Python code and familiarity with video streaming/image processing libraries (Gstreamer, ffmpeg, OpenCV).
- Able to work in hybrid cloud environments and implement advanced deployment strategies (Blue/Green, Canary) aligning with cutting-edge DevOps/MLOps operations.