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 2000 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. Youll be part of a work culture thats 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 (99.999%) 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).
• Collaborate with developers to integrate distributed ML pipelines into automated CI/CD workflows.
  
  

Requirements:

• Strong Python and C development experience (24 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.