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.

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

- Robust 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:

- Robust 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

📌 Senior Platform Engineer (Mumbai)
🏢 Quantiphi Analytics Solutions
📍 Mumbai