DevOps Engineer

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

Role overview

A DevOps Engineer role building deployment pipelines, infrastructure automation, and operational tooling that help client engineering teams ship software reliably and frequently. The work covers the full DevOps lifecycle—CI, CD, infrastructure as code, and observability—with added focus on the unique deployment patterns of AI/ML systems such as model serving, artifact versioning, and A/B testing. It is a fully remote, US-based, full-time opportunity with a salary range of $130,000–$180,000.

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

Requirements

• 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
• Exposure to ML lifecycle concepts including data preparation, model versioning, and serving
• Comfort working across multiple client environments at varying maturity levels

Nice to have

• Experience supporting AI/ML systems end to end, from data pipelines to model deployment
• Background building self-service platforms for internal developer use

Benefits and work setup

• Fully remote within the US, full-time
• Salary range of $130,000–$180,000
• MacBook Pro, external display, and peripherals of choice
• Access to AI tools and subscriptions such as GPT-4, Claude, and GitHub Copilot
• 401(k) with company match, 12 weeks paid parental leave, and a $1,000 home office stipend
• Quarterly team offsites in interesting locations
• Support to attend or speak at DevOps conferences