AI & cloud platform engineer for workflow automation

We are building a modern platform that blends workflow automation, data-driven insights, and AI-supported decision capabilities. This role shapes the operational backbone that makes all of it reliable, secure and fast. You will work on cloud-native infrastructure, CI/CD automation, environment management, observability and runtime optimization in a live, high-complexity environment.

• Build and maintain cloud environments using infrastructure as code and reusable modules
• Develop CI/CD pipelines with automated validation, safety controls and progressive rollout patterns
• Implement observability across logs, metrics and traces, with actionable signal for teams
• Define and maintain reliability standards including SLOs, error budgets and incident processes
• Establish secure defaults for environments, services and deployments
• Optimize runtime performance and cost through data-driven analysis
• Remove manual operations by automating environment, deployment and maintenance workflows
• Collaborate closely with engineering, data and security teams to ensure platform readiness

• Background in cloud-native operations, preferably in Azure
• Experience building automated environments and pipelines at scale
• Solid understanding of observability, telemetry and reliability engineering
• Ability to troubleshoot distributed systems and guide teams toward resilient patterns
• A mindset focused on automation, repeatability and operational simplicity
• Comfortable working in a fast-paced environment where infrastructure evolves quickly

• Условий в вакансии нет