SDE + Instructor (DevOps)

Role Description: We're hiring SDE + Instructor DevOps for our Computer Science Department. Have you ever wondered what a job where deep diving into the world of CNCF landscape would look like What if contributing to OSS projects wasn't a negotiation with your closed source workplace rather a highly encouraged attribute of our job function. Not only that, you would have the opportunity to build a community of highly motivated OSS student contributors who we feel have infinite energy to make it happen. What if learning wasn't a corporate training charter that would make you sit through seemingly never ending days once a quarter but a fun learning environment in which you learn together with our learners.

In short you wouldn't just be an instructor you'll be a builder, mentor, and driver of real-world impact.

What You'll Do:

Teach What You Know: Lead engaging sessions on Container technologies, CI/CD, Public cloud infrastructure, observability.

Design Real-World Labs: Create hands-on exercises where students build real apps, deploy services, and debug issues just like in the industry.

Mentor Future Engineers: Guide students through projects, pair programming, code reviews, and mock system design interviews.

Collaborate & Evolve the Curriculum: Work with senior faculty, curriculum teams, and industry experts to keep learning outcomes practical and cutting-edge.

Drive Innovation: Bring your industry experience to the classroom whether it's GitOps, microservices, or scalable AWS architectures.

Contribute to National Impact : Participate in open-source, AI, and government-backed projects, and mentor students preparing for global competitions like International Collegiate Programming Contest and International Olympiad in Informatics.

What We're Looking For:

5 10 years of hands-on experience as a DevOps Engineer/Site Reliability Engineer/Platform Engineer

Proficiency in: Container technologies: Docker, Kubernetes CI/CD tools: GitHub Actions, Jenkins, Public Cloud: AWS, Azure, Google Cloud Platform Observability: Prometheus, Grafana, open telemetry

Strong understanding of system architecture, performance tuning, and scalable deployments.

Ability to simplify and explain complex concepts clearly