Remote DevOps Engineer — AI/ML Infra & CI/CD

Syntas; United States; Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Fully remote within the US

MacBook Pro and peripherals

401(k) with company match

Parental leave 12 weeks

AI tools access (GPT-4, Claude, Copil…

Team offsites and conference support

Job summary

Syntas is seeking a DevOps Engineer to design and operate robust CI/CD pipelines, automate infrastructure as code, and optimize deployment for AI/ML workloads in a fully remote U.S. environment.

You will implement containerization and orchestration, build observability stacks, and support model serving and artifact versioning. Collaboration across client environments and strong incident response practices are essential for success.

Qualifications

• Solid experience with CI/CD tooling, containerization, and at least one major cloud platform.
• Proficiency with infrastructure as code tools such as Terraform, Pulumi, or CloudFormation.
• Familiarity with Kubernetes, container networking, and deployment best practices.
• Understanding of observability stacks and how to design for reliable incident response.

Responsibilities

• Design and maintain CI/CD pipelines that move code through environments with gates, approvals, and rollback capabilities.
• Implement infrastructure as code so cloud resources are managed with the same rigor as application code.
• Build containerization and orchestration strategies that support both traditional and ML workloads.
• Stand up observability systems—logging, metrics, and tracing—to give visibility into production health.
• Create model serving infrastructure, large artifact storage, and A/B testing frameworks for ML deployment.
• Document processes, automate manual operational tasks, and improve incident response across client environments.

Skills

CI/CD tooling

Containerization

ML lifecycle concepts

Working across client environments

Observability design

Tools

Terraform

Pulumi

CloudFormation

Kubernetes

Job description

Syntas is seeking a DevOps Engineer to design and operate robust CI/CD pipelines, automate infrastructure as code, and optimize deployment for AI/ML workloads in a fully remote U.S. environment.

You will implement containerization and orchestration, build observability stacks, and support model serving and artifact versioning. Collaboration across client environments and strong incident response practices are essential for success.