Remote Senior DevOps Engineer

About the job Role Overview Seeking a highly skilled Platform Engineer to support cloud infrastructure, MLOps, and DevOps initiatives. The role involves designing, building, and maintaining scalable, secure, and reliable platforms for machine learning and application workloads, emphasizing automation, observability, and governance. Key Responsibilities Develop and operate MLOps pipelines covering the entire ML lifecycle, including training, deployment, and monitoring. Support AI/ML and Generative AI systems, including LLM-based services. Build and manage cloud infrastructure on AWS using Kubernetes and containerization. Automate provisioning with Terraform and develop CI/CD pipelines. Implement model versioning, experiment tracking, and ensure platform scalability, reliability, and cost efficiency. Collaborate with engineering teams to operationalize models, enforce security, and monitor system health and performance. Qualifications & Skills 15+ years in DevOps, SRE, or Platform Engineering with AWS expertise. Hands-on experience with machine learning deployment, Kubernetes, CI/CD, and Terraform. Proficiency in Python and Linux troubleshooting. Experience with MLOps platforms, Generative AI/LLM workloads, and data stores like Postgres or DynamoDB. Strong communication skills and experience in regulated environments preferred. Benefits Competitive salary, equity, bonus, comprehensive health benefits, retirement plan, parental leave, unlimited PTO, and flexible work arrangements.