Quantiphi
From Quantiphi's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
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
Work location: Mumbai, Bangalore & Trivandrum
Notice Period: 0- 15 days(Looking for immediate joiners)
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.
Certification that best reflects below skills: CKAD
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
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
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
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!
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