Senior DevOps Engineer

2 days ago

India N-iX Full time

Job Description

N-iX is a global software development service company that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way, expanding its presence across Europe, the US, and Latin America. Today, we are a strong community of 2,000+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.

Our client is a global commerce leader where you can influence how the world buys, sells, and gives. You'll be part of a work culture that's been genuinely committed to diversity and inclusion since its founding over twenty five years ago. Here, you can be yourself, do your best work along with a team of professionals, and have a meaningful impact on people across the globe. We seek people with drive, ideas, and a passion for helping small businesses succeed to help.

N-iX is looking for a Senior DevOps Engineer (with MLOps experience) to join our AI Platform Team. You will work on building and scaling the next-generation AI infrastructure, helping researchers and data scientists run training and inference efficiently. A key focus is Ray.io and distributed ML workloads.

Responsibilities:

- Build and support ML infrastructure for training and inference at scale (Ray.io, PyTorch, TensorFlow).
- Partner with infrastructure and security teams to ensure high availability (99.999%) and reliability.
- Troubleshoot and resolve production issues (performance, compatibility, framework upgrades).
- Automate deployment, monitoring, and CI/CD pipelines (Kubernetes, Docker, Jenkins).
- Deliver solutions that accelerate engineers work through automation.
- Contribute to documentation and best practices for MLOps.
- Collaborate with internal teams and researchers to diagnose and resolve technical issues.
- Provide guidance and knowledge-sharing sessions to improve operational excellence.

Requirements:

- 5+ years of experience in Python software engineering.
- Hands-on experience with Ray.io for distributed training/inference.
- Strong background with ML frameworks: PyTorch, TensorFlow, Triton.
- Solid knowledge of Kubernetes, Docker, Linux fundamentals.
- Experience with DevOps practices (CI/CD, test automation, monitoring).
- Good debugging and triaging skills.
- Strong communication and collaboration abilities in English.

Would be a plus:

- Experience with LLM fine-tuning and inference optimization.
- Previous work with AI/ML infrastructure at scale.

We offer*:

- Flexible working format - remote, office-based or flexible
- A competitive salary and good compensation package
- Personalized career growth
- Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
- Active tech communities with regular knowledge sharing
- Education reimbursement
- Memorable anniversary presents
- Corporate events and team buildings
- Other location-specific benefits
- not applicable for freelancers

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