devops engineer in cloud infrastructure

DataArt provides technology services focused on cloud infrastructure, software delivery platforms, and automation solutions across regional environments.

• Design, build, and maintain robust CI/CD pipelines using GitLab CI and TeamCity;
• Develop and manage reusable pipeline components, including modules, templates, patterns, and shared jobs;
• Automate infrastructure provisioning and management using Terraform for AWS environments;
• Implement and support release strategies, including blue-green deployments, canary releases, and feature flags;
• Apply Git workflows such as GitFlow and trunk-based development;
• Use Git tools and best practices for version control, branching strategies, and code collaboration;
• Build and maintain monitoring and visualization solutions for pipeline health, performance, and deployment metrics;
• Develop automation scripts and tools in Bash, Python, and/or PowerShell;
• Collaborate with development teams to integrate CI/CD best practices and ensure adherence to quality gates;
• Troubleshoot and resolve pipeline failures, perform root cause analysis, and implement preventive measures;
• Contribute to the design and maintenance of reporting dashboards for quality, performance, and deployment status.

• 8+ Years of hands-on experience in a DevOps, CI/CD, or Automation Engineering role;
• Strong practical experience with GitLab CI for pipeline orchestration;
• Strong programming and automation development skills in Python;
• Experience developing automation tools, internal platforms, and process automation solutions using Python;
• Solid understanding of release strategies and Git workflows in collaborative environments;
• Proficiency in Infrastructure as Code using Terraform;
• Hands-on experience with Kubernetes;
• Experience with AWS Bedrock;
• Hands-on experience with AWS core services including EC2, S3, IAM, VPC, ECS, EKS, and Lambda;
• Strong scripting skills using Python, Bash, or similar technologies;
• Experience with pipeline optimization, reusable components, and modular CI/CD design;
• Experience automating operational processes beyond simple scripting;
• Knowledge of AI-driven automation solutions and relevant libraries;
• Strong problem-solving and analytical skills;
• Good communication skills and experience working within team-oriented environments;
• Experience with monitoring platforms such as Prometheus, Grafana, CloudWatch, or Datadog;
• Experience with AWS AgentCore;
• Nice to have: familiarity with Docker, Amazon ECS, Ansible, Chef, or Puppet; previous experience in financial services or other regulated environments; experience in the finance domain.

• No conditions specified