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 Ray.io.
About the role: This role focuses on maintaining, deploying, and improving AI/ML platform services using Ray.io, 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 Ray.io 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 Ray.io 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 (2–4 years).
- Hands-on experience with Ray.io: 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
