Senior DevOps Engineer

1 Month ago • 3 Years + • DevOps

Job Summary

Job Description

N-iX seeks a skilled DevOps Engineer to support the development and deployment of a high-performance computing (HPC) platform for on-premise environments. Responsibilities include designing and implementing on-premise HPC infrastructure, setting up containerized environments (Docker, Kubernetes/Docker Compose), configuring resource utilization for hybrid CPU/GPU workflows, and developing/maintaining CI/CD pipelines. The role also involves setting up on-premise monitoring systems, automating system health checks, implementing load balancing and scaling, ensuring security best practices, and collaborating with various teams. The ideal candidate will have 3+ years of experience in a similar role, expertise in containerization and orchestration, and proficiency in Python/Bash scripting.
Must have:
  • On-premise infrastructure design & implementation
  • Containerization (Docker) and orchestration (Kubernetes)
  • CI/CD pipeline development & maintenance
  • Python/Bash scripting proficiency
  • On-premise monitoring system setup
Good to have:
  • GPU workload configuration (CUDA)
  • Experience with Jenkins, GitLab CI, or GitHub Actions
Perks:
  • Flexible working format
  • Competitive salary
  • Personalized career growth
  • Professional development tools
  • Education reimbursement
  • Corporate events

Job Details

N-iX is a global company with Ukrainian roots that helps businesses across the world develop successful software products. Founded in 2002, N-iX has come a long way and increased its presence in eight countries spanning Europe, the US, and Latin America. Today, we are a strong community of 2,200+ professionals and a reliable partner for global industry leaders and Fortune 500 companies.

We are seeking a skilled DevOps Engineer to support the development and deployment of the high-performance computing (HPC) platform for on-premise environments. This role focuses on creating robust, scalable, and secure infrastructure for local deployments, emphasizing performance optimization for CPU/GPU workflows.

Responsibilities:

  • Design and implement on-premise infrastructure for HPC applications.
  • Set up containerized environments using Docker and orchestration tools like Kubernetes or Docker Compose.
  • Configure efficient resource utilization for hybrid CPU/GPU workflows.
  • Develop and maintain CI/CD pipelines to automate testing, deployment, and monitoring.
  • Integrate pipelines with version control systems like Git and internal project management tools.
  • Set up on-premise monitoring systems for performance, security, and reliability.
  • Automate system health checks, alerts, and log management.
  • Implement load balancing and scaling strategies for high-performance workloads.
  • Optimize local resource allocation for cost efficiency and computational performance.
  • Ensure security best practices, including secure communication between components, encryption, and identity management.
  • Maintain compliance with local data security standards.
  • Work closely with development, visualization, and backend teams to align infrastructure needs.
  • Provide guidance on DevOps best practices for on-premise deployments.
  • Document infrastructure designs, deployment strategies, and troubleshooting guides.

Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related fields.
  • 3+ years of experience as a DevOps Engineer or in a similar role.
  • Proven experience with on-premise environments and infrastructure management.
  • Strong background in containerization (Docker) and orchestration (Kubernetes, Docker Compose).
  • Programming/Scripting: Proficiency in Python, Bash, or similar.
  • Experience with Jenkins, GitLab CI, GitHub Actions, or similar tools.
  • Familiarity with Prometheus, Grafana, or other on-premise monitoring tools.
  • Strong problem-solving skills and ability to work in a multidisciplinary team.
  • Excellent communication skills for cross-team collaboration and documentation.
  • A proactive mindset for automation and optimization.

Nice to have:

  • Experience with configuration of GPU-heavy workloads (CUDA or similar technologies).

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

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