Описание
DataArt provides technology services focused on cloud infrastructure, software delivery platforms, and automation solutions across regional environments.
Задачи
•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
Требования
•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.
Условия
No conditions specified
