SRE & DevOps Engineer ()

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:  You will join 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 C++ experience to drive operational excellence, automation, and platform reliability, with a focus on

About the role: This role focuses on maintaining, deploying, and improving AI/ML platform services using , 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 distributed ML systems.

Responsibilities:

DevOps tasks (~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 %), system reliability, and security across platforms.
• Automate operational tasks, monitoring, and deployment workflows.
• Deploy and maintain clusters, ensuring workload scheduling and distributed job reliability.
• Monitor production systems via Ray Dashboard, CLI tools, and integrate alerting/metrics.
• 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 tasks (~40%):

• Design, build, and refactor Python and C++ services for workflows.
• Work with Ray ecosystem libraries such as Ray Train, Ray Tune, Ray Serve, Ray Data.
• Integrate Ray with tools such as Airflow, MLflow, Dask, DeepSpeed (plus).
• Work with ML frameworks such as PyTorch, TensorFlow, and Triton.
• Collaborate with developers to integrate distributed ML pipelines into automated CI/CD workflows.

Requirements:

• Strong Python and C++ development experience (2–4 years).
• Hands-on experience with cluster deployment, workload management, distributed task scheduling.
• Familiarity with Ray ecosystem libraries (Train, Tune, Serve, Data) and integration with ML tooling.
• 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 for distributed systems.
• 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).
• Overall 3-5 years of relevant DevOps / SRE experience.

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