🛠 Tech Stack

💼 About This Role

You'll design and operate the core MLOps platform powering production-grade machine learning and agentic systems at scale. Your work will directly shape platform performance, developer experience, and operational efficiency.

🎯 What You'll Do

• Design and build MLOps platform infrastructure for ML/LLM deployment and observability
• Implement CI/CD pipelines using GitHub Actions, GitLab CI, or AWS CodePipeline
• Manage containerized workloads with Docker, ECS Fargate, or EKS
• Establish monitoring and cost governance via CloudWatch and OpenTelemetry

📋 Requirements

• 7+ years in platform engineering, DevOps, or MLOps
• Deep expertise in AWS including production-grade architecture
• Strong experience with Terraform or AWS CDK for infrastructure as code
• Hands-on experience with Docker and Kubernetes/EKS orchestration

✨ Nice to Have

• AWS Solutions Architect Associate or Professional certification
• Kubernetes or CNCF certifications
• Bachelor’s degree in Computer Science or related field

🎁 Benefits & Perks

• 💰 Competitive salary: $170,000–$190,000 OTE
• 🏥 Comprehensive medical, dental, and vision insurance
• 🏦 401(k) retirement savings plan
• 🏝️ Paid time off and company holidays
• 👶 Paid parental and caregiver leave

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Phone Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min