SRE / DevOps engineer (with Python and ML framework) (#3950)

N-iX; India; Hybrid; INR 10,00,000 - 15,00,000; Full time

Job summary

A global software development company is seeking a motivated SRE/DevOps engineer to support its AI Platform Team. The role involves maintaining and improving AI/ML platform services, focusing on DevOps practices and automation. Ideal candidates will have experience in Python, Kubernetes, and machine learning frameworks. Flexible work options and a competitive salary are provided.

Benefits

Flexible working format

Competitive salary and compensation package

Professional development tools

Qualifications

• 3–5 years of relevant DevOps / SRE experience.
• Experience with ML frameworks like PyTorch, TensorFlow, Triton.
• Solid understanding of Kubernetes, Docker, and Linux fundamentals.

Responsibilities

• Design and maintain CI/CD pipelines for AI/ML platform services.
• Manage Kubernetes clusters and Docker containers.
• Automate operational tasks and deployment workflows.

Skills

DevOps

Python

Machine Learning frameworks

Kubernetes

Docker

CI/CD pipelines

Job description

Overview

India

Work type: Office/Remote

Technical Level: Senior

Job Category: Software Development

Project: 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.

About the team: We are the AI Platform Team, providing highly available, scalable, and automated machine learning infrastructure for researchers and data scientists globally. We are looking for a motivated, self-reliant SRE / DevOps engineer with Python and ML framework experience to drive operational excellence, automation, and platform reliability.

Role Overview: This role focuses on maintaining, deploying, and improving AI/ML platform services with strong emphasis on DevOps, SRE practices, and automation. You will collaborate closely with developers, researchers, and infrastructure teams to ensure robust, scalable, and highly available ML systems.

Responsibilities

DevOps (~60%):

• Design, implement, and maintain CI/CD pipelines for AI/ML platform services.
• Manage and troubleshoot Kubernetes clusters, Docker containers, and cloud infrastructure.
• Ensure high availability (99.999%), system reliability, and security across platforms.
• Automate operational tasks, monitoring, and deployment workflows.
• Collaborate with AI platform developers to deploy and scale ML frameworks efficiently.
• Analyze and resolve production issues, performance bottlenecks, and functional problems.
• Define operational standards, versioning practices, and advise teams on DevOps best practices.
• Prepare documentation, training materials, and provide technical support to platform users.

Development (~40%):

• Design, build, and refactor Python services and ML framework integrations.
• Work with ML frameworks such as PyTorch, TensorFlow, and Triton.
• Handle framework-related issues, version upgrades, and environment compatibility.
• Support AI/ML model training, inferencing platforms, and LLM fine-tuning systems.
• Collaborate with developers to integrate ML pipelines into automated CI/CD workflows.

Requirements

• Overall 3–5 years of relevant DevOps / SRE experience.
• Hands-on experience with ML frameworks (PyTorch, TensorFlow, Triton).
• Experience with AI/ML model training and inferencing platforms is a plus.
• Familiarity with LLM fine-tuning systems is a plus.
• Solid understanding of Kubernetes, Docker, Linux fundamentals, and DevOps practices.
• Experience with CI/CD pipelines (Jenkins or similar), test automation, and monitoring.
• Strong debugging and triaging skills.
• Excellent communication and collaboration skills with cross-functional teams.
• Strong organizational skills to manage multiple projects in a fast-paced environment.
• Fluent in English (spoken and written).

We offer

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing