DevOps & AI Engineer

Job Location: Fully Remote

We’re hiring a Senior DevOps & AI Engineer to drive platform reliability, scalability, and delivery speed. This role blends cloud infrastructure, CI/CD, and MLOps—owning how software and AI systems are built, deployed, and operated. You’ll partner with engineering, data, and security teams to ship faster and more reliably.

What You’ll Do

• Build and optimize CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins)
• Design and manage AWS infrastructure using Terraform or CDK
• Monitor and improve system performance, availability, and cost
• Deploy and operationalize ML/AI models (SageMaker, Bedrock, etc.)
• Enforce security best practices (IAM, secrets, scanning, compliance)
• Lead incident response and drive continuous reliability improvements
• Improve developer experience through automation and tooling

What You Bring

• 3+ years with AWS (EC2, EKS/ECS, Lambda, RDS, S3, IAM); GCP a plus
• Strong CI/CD, Docker, and Kubernetes (Helm, ArgoCD) experience
• Infrastructure-as-Code (Terraform, CDK)
• Experience with PostgreSQL, Redis, Kafka, and Elasticsearch
• Familiarity with observability tools (Prometheus, Grafana, Datadog)
• Experience deploying ML models and building MLOps pipelines

Exposure to vector databases or LLM frameworks (e.g., LangChain) is a plus

Tech Stack

AWS, GCP, Kubernetes, Docker, Terraform, GitHub Actions, ArgoCD, Kafka, PostgreSQL, Redis, Elasticsearch, Prometheus, Grafana, Python, Linux