DevOps & AI/ML Infrastructure Engineer

Description: Responsible for supporting and improving cloud and ML/AI infrastructure, automating deployments, and maintaining CI/CD pipelines. Collaborate with Software and ML Engineers, Product support, QA, and Security teams to ensure efficient, secure, and scalable development workflows. Requirements: 3+ years of experience in DevOps, Cloud Engineering, or similar roles. 2+ years of hands-on experience with AWS services and containerized environments (Kubernetes, Amazon EKS). Strong experience with CI/CD pipelines (GitLab CI/CD, Jenkins) and Infrastructure as Code (Terraform, CloudFormation). Proficient in Linux system administration, networking fundamentals, and scripting (Python, Bash). Familiarity with AI tools, observability platforms, and cloud security practices is a plus. Benefits: 15 days of vacation, floating and company holidays, wellness benefits, and paid parental leave. Comprehensive medical, dental, vision, life, and disability insurance, plus a 401(k) plan and work from home stipend.