Senior AI-Enabled DevOps Engineer

Position Summary

You will be responsible for designing, building, and operating scalable cloud infrastructure and developer platforms supporting both application and AI-driven workloads. You will own complex systems end-to-end, improve reliability and automation, and partner with software and data teams to bring services and models into production.

Who You'll Work With

You will be part of the DevOps team reporting to the DevOps Team Lead, working alongside other DevOps Engineers, and collaborating daily with Software Engineering and IT teams.

Jobs Responsibilities

• Design, implement, and operate cloud-native infrastructure for production workloads
• Build and maintain CI/CD pipelines for applications and ML systems
• Develop and manage infrastructure-as-code for consistency and scalability
• Improve deployment reliability through automation and rollout strategies
• Support AI/ML workloads including model deployment, scaling, and monitoring
• Integrate AI-assisted tools into DevOps workflows
• Design and maintain observability solutions using metrics, logs, and traces
• Participate in on-call rotations and lead incident response
• Provide technical guidance and code reviews
• Contribute to architecture discussions

Requirements

• Must-Haves:
• 5-8+ years of progressive experience designing and implementing large-scale automated infrastructure and CI/CD pipelines
• Strong experience with cloud platforms (AWS, GCP, or Azure)
• Hands-on expertise in: cloud-native architectures, microservices, Infrastructure as Code (Terraform, IaC 2.0), Containers and Kubernetes, CI/CD systems (GitHub Actions, GitLab CI, Jenkins, ArgoCD)
• Strong knowledge of CI/CD best practices, GitOps workflows, and deployment strategies (blue/green, canary)
• Proficiency in scripting/programming (Python, Bash, Go, etc.)
• Experience with monitoring, logging, and alerting tools
• Exposure to AI/ML workloads
• Nice-to-Haves:
• 3+ years in healthcare technology or other highly regulated SaaS environments
• Experience with AI-driven monitoring or AIOps tools
• Knowledge of cloud cost optimization strategies
• Advanced certifications (AWS Certified DevOps Engineer-Professional, Microsoft Certified DevOps Engineer Expert, CKA)
• Experience with security automation and DevSecOps practices