Senior Cloud (Azure) Engineer
- Hiring from
- Ukraine
- Work type
- Remote
- Posted
- Sep 26, 2026
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Senior Cloud (Azure) Engineer
Remote in Ukraine
Microsoft Azure& 11 others
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Find me a jobWe are seeking a client-facing Senior Cloud (Azure) Engineer to join our dynamic Business Platform Team. You will be responsible for shaping new tool assessments (including AI-driven tooling and LLMOps/MLOps pipelines), establishing rigorous governance frameworks, defining best-practice patterns, and architecting critical project setups from the ground up.
If you have a strong background in Azure DevOps, hands-on experience integrating AI solutions and tools into enterprise workflows, and excel at guiding stakeholders through complex technical transformations, we want to hear from you.
Responsibilities
- Collaborate closely with clients to understand their business and AI adoption requirements, evaluate their maturity, and consult on Azure DevOps and AI integration best practices
- Serve as the technical subject matter expert during client workshops, discovery sessions, and project kickoff phases for both traditional cloud and AI-driven initiatives
- Design, architect, and bootstrap robust CI/CD pipelines, repository structures, and secure workspaces for critical client initiatives — specifically incorporating AI solutions, prompt engineering pipelines, and LLM integrations
- Standardize project onboarding processes to ensure rapid, scalable, and secure delivery environments
- Integrate modern AI tools, coding assistants (e.g., GitHub Copilot, Azure AI services), and AI-driven workflow automations into the engineering ecosystem
- Establish and enforce enterprise-grade governance models within Azure DevOps, including security policies, access control, auditing, and ethical/secure use guidelines for AI tools and models
- Monitor and optimize platform usage to ensure adherence to compliance standards, cost control, and data privacy
- Research, evaluate, and pilot emerging DevOps platforms, developer tooling, and AI-driven software development lifecycle (SDLC) solutions
- Define migration strategies, risk assessments, and adoption roadmaps for newly approved tools
- Develop and maintain reusable patterns, YAML pipeline templates, infrastructure-as-code (Terraform), and reference architectures tailored for AI and cloud workloads
- Document standards and mentor development teams on efficient, AI-augmented DevOps workflows
- Troubleshoot and trace complex issues across distributed systems to ensure platform reliability and performance
Requirements
- 3+ years of hands-on experience in DevOps engineering, cloud infrastructure, or software delivery automation, with a strong emphasis on Microsoft Azure
- Expertise in Azure DevOps Services/Server (Repos, Pipelines, Artifacts, Boards)
- Proficiency in designing and maintaining CI/CD pipelines for enterprise-grade delivery
- Skills in containerization and orchestration with Kubernetes
- Background in Infrastructure as Code (IaC) using Terraform
- Capability to troubleshoot and trace issues in distributed systems
- Understanding of governance and security practices, including Role-Based Access Control (RBAC), service connections, and compliance guardrails — especially around data governance in AI projects
- Proven track record of working closely with external clients, gathering requirements, presenting technical solutions, and managing stakeholder expectations
- Excellent verbal and written communication skills, with the ability to bridge the gap between technical, AI, and business stakeholders
Nice to have
- Microsoft Certified: DevOps Engineer Expert and/or Azure AI Engineer Associate certifications
- Experience working within a Business Platform, Internal Developer Platform (IDP), or MLOps-focused team
- Experience with GitHub Copilot and other AI-powered developer tooling
- Knowledge of Helm for Kubernetes package management
- Proficiency in Python scripting for automation and tooling
- Familiarity with GitOps workflows (Flux)