AI Lead DevOps Engineer

This is a remote position.

We are looking for an AI Lead DevOps Engineer to spearhead the MLOps strategy for our high-impact AI accounts. With 8–10 years of experience, you will provide the technical leadership necessary to design robust, compliant, and highly automated AI platforms. You aren't just managing pipelines; you are architect the entire lifecycle governance—ensuring reproducibility, audibility, and security at an enterprise scale.

Key Responsibilities:

• Strategic Leadership: Provide technical direction for the DevOps squad, defining the CI/CD and MLOps roadmap for the account.

• Model Governance & Evaluation: Implement automated model evaluation pipelines to track accuracy, precision, and recall metrics in production.

• Enterprise Security: Lead the DevSecOps strategy, ensuring all AI deployments comply with enterprise security standards and global data regulations.

• Platform Enablement: Architect self-service platforms that allow ML engineers to deploy models with minimal friction while maintaining strict governance guardrails.

• Auditability & Reproducibility: Ensure that every ML experiment is fully auditable through sophisticated pipeline and dataset versioning strategies.

• Mentorship: Mentor senior and junior engineers, driving best practices in automation, IaC, and cloud-native architecture.

Requirements

• 8–10 years of experience in DevOps/Cloud Engineering, with at least 3 years in a technical leadership or architect-level role.

•  Deep understanding of the end-to-end ML lifecycle (training, validation, deployment, and retraining loops).

• Mastery across Azure DevOps, GitHub Actions, and Jenkins.

• Expert-level Terraform or CloudFormation skills, including modular architecture and cross-account cloud deployments.

• Significant experience implementing SAST/DAST tools and managing complex IAM/Access Control frameworks in a cloud environment.

• Ability to design custom observability frameworks that track model drift, pipeline failures, and infrastructure ROI.

• Advanced knowledge of configuration management tools like Ansible or Puppet for complex multi-cloud environments.

• Solid understanding of database scaling and security for MySQL, PostgreSQL, and MongoDB.

• Understanding of how DevOps practices support responsible AI (e.g., bias tracking and audit logs).

• Exceptional ability to collaborate with Architects and Data Scientists to translate high-level AI needs into operational reality.

• Native or C1-level English, with the ability to present technical strategies to senior stakeholders.

Benefits

• Professional training programs

• Work with a team that’s recognized for its excellence. We’ve been featured in the Deloitte Technology Fast 50 & FT 1000 rankings. We’ve also received the Great Place To Work® certification for five years in a row