Senior Platform Engineer

Posted 5 Days Ago
Be an Early Applicant
3 Locations
In-Office
Senior level
Artificial Intelligence • Big Data • Machine Learning
The Role
Design, architect, and implement highly available video streaming and inference platforms. Build and maintain Kubernetes and Docker infrastructure, CI/CD pipelines, monitoring, alerting, deployment strategies, and distributed systems. Develop production-grade Python backend services using Flask and Gunicorn, integrate databases and streaming pipelines such as Redis and Kafka, and troubleshoot Linux-based container environments. Collaborate with machine learning research and production DevOps/MLOps teams.
Summary Generated by Built In

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!

Job Description 


Role: Senior Platform Engineer

Experience Level: 4 to 7 Years 

Work location: Mumbai, Bangalore & Trivandrum 

Notice Period: 0- 15 days(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!

Skills Required

  • 4 to 7 years of relevant experience
  • Strong expertise in Kubernetes development, architecture, and cluster maintenance
  • Experience creating container infrastructure platforms
  • Expertise in Linux and Linux shell
  • Experience with Docker containers and Kubernetes resources, including Deployments, Pods, Jobs, StatefulSets, ConfigMaps, Services, Ingress, and Volumes
  • Experience with Helm charts, multi-container pods, sidecars, and init containers
  • Strong DevOps and CI/CD implementation experience
  • Knowledge of deployment strategies, rolling updates, probes, health checks, and container troubleshooting
  • Strong grasp of core Python, object-oriented programming, and software design patterns
  • Production-grade Python development experience
  • Experience with Flask and Gunicorn
  • Knowledge of database integration and streaming pipelines, including Redis or Kafka
  • Strong Git and GitHub knowledge
  • Experience with multiprocess architecture
  • Video streaming and image processing experience with GStreamer, FFmpeg, or OpenCV
  • Knowledge of cloud services
  • Kubernetes Developer certification such as CKAD
  • Knowledge of hybrid cloud environments

Quantiphi Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Quantiphi and has not been reviewed or approved by Quantiphi.

  • Wellbeing & Lifestyle Benefits — Wellbeing initiatives such as monthly meeting-free AMA-Zen Days, health check-ups, and wellness counseling are designed to reduce burnout and support day-to-day balance. Broader wellness programs reinforce both physical and mental health.
  • Flexible Benefits — Remote/hybrid options with flexible working hours provide meaningful autonomy over where and when work gets done. Flexible leave constructs, including sabbaticals and special day leaves, add practical adaptability to the package.
  • Parental & Family Support — Paid parental leave in the U.S., alongside maternity and childcare support, signals solid backing for families. These family-oriented policies integrate with a wider health and wellness focus.

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The Company
HQ: Marlborough, MA
3,494 Employees
Year Founded: 2013

What We Do

Quantiphi is an award-winning AI-first digital engineering company driven by the desire to solve transformational problems at the heart of business. Quantiphi solves the toughest and complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve quantifiable business impact at unprecedented speed.

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