Senior Platform Engineer

Quantiphi; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Quantiphi is seeking a Senior Platform Engineer to design and implement scalable video streaming and ML inference systems. You will work across Kubernetes, Linux and cloud ecosystems, shaping resilient architectures and automating deployment pipelines.

You will collaborate with ML researchers and DevOps teams, apply modern CI/CD practices, and optimize performance with monitoring, logging and health checks. Immediate joiners preferred.

Qualifications

• CKAD certification is recommended.
• Strong Linux expertise and container orchestration with Kubernetes.
• Experience with Docker, Helm, and distributed system design.

Responsibilities

• Design, architect and implement highly available and fault-tolerant video streaming and inference systems.
• Collaborate with ML research and production teams to integrate cutting-edge solutions.
• Lead DevOps and MLOps practices across CI/CD pipelines and monitoring.

Skills

CKAD

Kubernetes

Linux

Docker

CI/CD

Python

Web frameworks

OpenCV

GStreamer

Cloud basics

Tools

Redis

Kafka

Helm

GStreamer

FFmpeg

NVIDIA Triton

Job description

Job Description

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.

If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

Role: Senior Platform Engineer

Experience Level: 4 to 7 Years

Work location: Mumbai, Bangalore & Trivandrum

Notice Period: 0- 15days(Looking for immediate joiners)

Role & Responsibilities:

Opportunity to work in a dynamic and diverse team where you get to design, architect and implement highly available and fault tolerant video streaming and inference systems using the industry leading open source tools like Kubernetes, Redis, NVIDIA Triton Inference server etc. An open minded team that welcomes ideas for improving our processes and is eager to get them going. Work closely with cutting edge Machine Learning research and experimentation that complements the production efforts. Work with the best DevOps and MLOps structures.

Skills expectation:

Kubernetes Developer:

Certification that best reflects below skills: CKAD

High Level Skills:

• - Create container infrastructure platform
• - Create and maintain highly scalable Kubernetes architecture
• - Enhance delivery systems with Continuous Integration
• - Improve monitoring and alerting
• -Troubleshoot issues and resolve problems

Granular Skills:

• - Expertise in Linux
• - Maintenance of Docker container and Kubernetes Clusters
• - Implement design patterns for distributed systems
• - Simple to complex k8s resources like Deployments, Pods, Jobs, StatefulSets, ConfigMaps, Service, NodePort, Ingress, Volumes
• - Templating Kubernetes deployments using Helm Charts
• - Multi container pod design using sidecar, init containers etc.
• - Knowledge of hybrid cloud environments - (bonus)
• - Strong expertise in DevOps and CI/CD implementation
• - Strong knowledge of deployment strategies (Blue/Green, Canary etc.) and rolling updates.
• - Implement probes and health checks
• - Utilizing container logs for debugging
• - Custom Resource Definitions

Backend Developer:

High Level Skills:

• - Strong grasp of Core Python concepts
• - Sound knowledge of web frameworks
• - Strong understanding of Object Oriented concepts and Software Design patterns
• - Experience with writing production grade code (NOT "SCRIPTS")
• - Good grasp of database integration and streaming pipelines (redis, kafka etc)
• - Multiprocess architecture
• - Strong Git and GitHub knowledge
• - Good knowledge of Video Streaming and image processing in python preferable
• - Good knowledge of Cloud Services

Granular Skills (extensive hands on experience required):

• - Core Python concepts (must have): Iterators, Exception Handling, File Handling, Data types and structures, OOP
• - Web frameworks (must have): Flask, Gunicorn
• - Video (extremely useful and highly rated): Gstreamer, ffmpeg, OpenCV
• - Containerization: Docker, Kubernetes core concepts
• - Strong knowledge of Linux shell

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!