devops engineer for AI-native automation platforms

грейд
senior
формат
удалённо
язык
Английский B2
опубликована
сегодня

описание

Описания нет

задачи

  • Design and optimize CI/CD pipelines using AI assistants for authoring and troubleshooting
  • Integrate AI-based code review and quality gates into the development flow
  • Automate pipelines via Jira and prototype agentic workflows that turn tickets into changes
  • Build dashboards with AI adoption and impact metrics, such as cycle-time and MR ratio
  • Establish AIOps monitoring, alerting, and log aggregation systems
  • Establish prompts, prompt libraries, MCP integrations, and guardrails
  • Mentor engineers and champion AI-native ways of working
  • Define autonomy boundaries, manage secrets and PII, and validate AI output before production
  • Correlate alerts, summarize incidents, draft post-mortems, and surface root causes
  • Generate and validate Terraform, Ansible, and Helm code with human-in-the-loop review

требования

  • 5+ Years of experience in DevOps engineering with CI/CD design, scripting in Bash, PowerShell, Python, and IaC discipline
  • Experience with configuration management and HA monitoring/alerting
  • Expertise in Linux and Windows operating systems, with knowledge of MS SQL and PostgreSQL databases
  • Senior-level experience with at least one cloud platform among Azure, AWS, or GCP in multicloud environments
  • Background in RPA/BPM platforms, including Automation Anywhere, UiPath, Blue Prism, and Intelligent Automation
  • Hands-on experience with CI/CD tools such as GitLab CI, Jenkins, or Azure DevOps, along with Git
  • Familiarity with observability practices, including metrics, logging, alerting, and log aggregation
  • Proficiency in AI assistants and agentic tooling, including Claude, CodeMie, MCP servers, and tool integrations
  • Skills in IaC and containerization tools, including Terraform, Ansible, Helm, Docker, and Kubernetes
  • Competency in prompt engineering and context management for coding and operations
  • Expertise in agentic workflow design, including task decomposition, tool use, and human-in-the-loop validation
  • Understanding of AI governance principles, including guardrails, secrets handling, and autonomy boundaries
  • English proficiency at B2 level or higher
  • Будет плюсом: Experience with Agile/Scrum methodologies, SAFe; a proactive, fast-learning mindset with trust-vs-verify judgment in AI assistant/agent use

условия

  • Remote hiring locations: Georgia, Uzbekistan, Kazakhstan, Kyrgyzstan, Armenia

навыки

компания

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