We are establishing a new role focused on bridging AI capabilities with our internal DevOps platform. You will build AI-powered tools and services that run on top of the DevOps platform developed by the infrastructure team. This role combines hands-on DevOps/platform engineering work with close collaboration with software development teams, enabling them to build, deploy, and operate AI solutions efficiently, securely, and in alignment with organizational standards. You will act as a technical enabler, helping teams bring AI-driven applications into production while ensuring best practices across architecture, compliance, DevSecOps, FinOps, and AI governance. The role also includes direct contributions to the platform itself.
Your Impact
Enhance DevOps platform capabilities to support AI-based tools and workloads.
Work closely with development teams to enable and support AI application delivery end-to-end.
Assist in designing architecture and production-grade implementation of AI systems.
Lead and enforce DevSecOps practices, compliance requirements, and governance standards for AI solutions.
Develop platform components and internal services as part of the AI infrastructure layer.
Support production readiness, monitoring, performance, reliability, and cost optimization (FinOps).
Serve as a technical interface between multiple engineering teams.
Participate in future on-call rotations.
Your Impact
Enhance DevOps platform capabilities to support AI-based tools and workloads.
Work closely with development teams to enable and support AI application delivery end-to-end.
Assist in designing architecture and production-grade implementation of AI systems.
Lead and enforce DevSecOps practices, compliance requirements, and governance standards for AI solutions.
Develop platform components and internal services as part of the AI infrastructure layer.
Support production readiness, monitoring, performance, reliability, and cost optimization (FinOps).
Serve as a technical interface between multiple engineering teams.
Participate in future on-call rotations.
Requirements:
Strong experience of 5-7 years in DevOps / Platform Engineering roles.
Good understanding of the AI ecosystem and modern AI workflows.
Hands-on familiarity with AI tools such as Claude and other GenAI platforms.
Ability to present a personal AI-related project
Solid understanding of production systems and modern CI/CD practices.
Experience with cloud infrastructure, automation, and deployment pipelines.
Strong communication skills and ability to work across multiple stakeholders.
Nice to have
Exposure to DevSecOps, compliance, and FinOps practices.
Experience building or integrating AI-driven systems in production environments.
Experience building tools or automations using Claude or similar GenAI tools.
Strong experience of 5-7 years in DevOps / Platform Engineering roles.
Good understanding of the AI ecosystem and modern AI workflows.
Hands-on familiarity with AI tools such as Claude and other GenAI platforms.
Ability to present a personal AI-related project
Solid understanding of production systems and modern CI/CD practices.
Experience with cloud infrastructure, automation, and deployment pipelines.
Strong communication skills and ability to work across multiple stakeholders.
Nice to have
Exposure to DevSecOps, compliance, and FinOps practices.
Experience building or integrating AI-driven systems in production environments.
Experience building tools or automations using Claude or similar GenAI tools.
This position is open to all candidates.
