DevOps Engineer

The project requires individuals with DevOps experience, focusing on developing, scaling, automating, and enhancing infrastructure, software, processes, and services to support enterprise software development, quality engineering, and production releases. As part of the team building next-generation AI-based analytics products, we collaborate with Data Scientists, ML Engineers, UI Developers, DevOps engineers, and Full-Stack developers to deliver unique analytical solutions to our clients.

Responsibilities:

1. Utilize cloud technologies such as AWS, Azure, or GCP to manage infrastructure effectively.
2. Develop and maintain container images and registries.
3. Deploy and manage applications on Kubernetes clusters and cloud platforms.
4. Utilize GitOps methodology for deployment maintenance.
5. Create YAML scripts and HELM charts for Kubernetes deployments.
6. Participate in cloud design and architecture decisions.
7. Develop Infrastructure-as-code templates for automated cloud infrastructure deployment.
8. Establish and manage CI/CD pipelines for containerized deployments.
9. Maintain git repositories and implement proper branching and release management processes.
10. Monitor applications on cloud and Kubernetes using ELK, Grafana, Prometheus, etc.
11. Automate routine tasks through scripting.
12. Collaborate with the development team to implement new build processes and strategies.
13. Troubleshoot, analyze root causes, and document build, release, and deployment issues.
14. Ensure system security and compliance with industry standards.

Requirements

Must have:

• Bachelor's or master's degree in computer science or related field.
• 4+ years of experience in DevOps.
• Proficiency in deploying applications to cloud platforms (AWS/Azure/GCP).
• Expertise in deploying and maintaining applications on Kubernetes. Technical proficiency in release automation engineering and CI/CD.
• Experience writing Terraform templates, Helm charts, and Kubernetes manifests.
• Strong command of Linux and scripting automation.
• Familiarity with development tools, source control, and CI build systems (e.g., Azure DevOps, Jenkins, Gitlab, TeamCity).
• Configuration management experience across different environments. Agile team experience with short-release cycles.
• Excellent communication skills and English.

Nice to have:

• Programming experience in Python or Go.
• Knowledge of deploying LLM models and toolchains.
• Forward-thinking and adaptable to new challenges.

Benefits

• 36 paid absence days per year for the work-life balance of each specialist + 1 additional day for each following year of cooperation with the company

• Up to 10 unused absence days can be added to income after 12 months of cooperation
• Health insurance compensation
• Depreciation coverage for personal laptop usage for project needs
• Udemy courses of your choice
• Regular soft-skills training
• Excellence Сenters meetups