Remote DevOps Engineer: AI/ML Pipelines & Automation

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

Benefits offered by this job

Fully remote

Health insurance

Unlimited PTO

Learning budget

Conference budget

Home office stipend

401(k)

Parental leave

Job summary

Syntas is hiring a DevOps Engineer to build and maintain deployment pipelines, infrastructure automation, and operational tooling for AI/ML workloads. You will implement CI/CD systems, containerization strategies, and IaC to transform how engineering teams deliver value, across diverse client environments.

The role emphasizes automation, self-service platforms, and reliable foundations that enable fast yet safe software delivery, with full remote work across the US.

Qualifications

• 4+ years of DevOps, SRE, or infrastructure engineering experience.
• Strong experience with CI/CD platforms (GitHub Actions, GitLab CI, Jenkins, CircleCI)
• Proficiency with infrastructure as code tools, particularly Terraform
• Hands-on Kubernetes experience including deployment, networking, and troubleshooting
• Experience with containerization including Docker, image optimization, and registry management
• Strong scripting skills in Python, Bash, or Go for automation and tooling
• Experience with at least one major cloud platform (AWS, GCP, or Azure)
• Knowledge of observability tools: Prometheus, Grafana, ELK stack, or Datadog
• Understanding of GitOps principles and tools (ArgoCD, Flux)
• Experience with secrets management (Vault, AWS Secrets Manager, or similar)
• Strong troubleshooting skills across applications, infrastructure, and networking
• Excellent communication skills for working with development teams and documenting practices

Responsibilities

• Design and implement CI/CD pipelines for diverse application types including web apps, APIs, and ML models
• Build and maintain Kubernetes clusters with appropriate networking, storage, and security configurations
• Implement infrastructure as code using Terraform, Pulumi, or similar tools for cloud resource management
• Create GitOps workflows using ArgoCD, Flux, or similar tools for declarative infrastructure management
• Deploy and configure observability tools including Prometheus, Grafana, and distributed tracing systems
• Implement ML deployment patterns including model serving, versioning, and canary releases
• Build container images and optimize Docker workflows for fast builds and small image sizes
• Create automated testing frameworks for infrastructure including integration and chaos testing
• Implement security practices including secrets management, vulnerability scanning, and policy enforcement
• Develop runbooks and automation for common operational tasks and incident response
• Collaborate with development teams to improve build times, deployment frequency, and reliability
• Document DevOps practices, create onboarding materials, and train client teams
• Stay current with DevOps tools and practices, evaluating new technologies for potential adoption

Skills

CI/CD platforms

Kubernetes

Terraform

Pulumi

ArgoCD

GitOps

Prometheus

Grafana

Docker

Python

Go

AWS

GCP

Azure

SRE

Tools

GitHub Actions

Jenkins

CircleCI

Terraform

Pulumi

ArgoCD

Flux

Job description

Syntas is hiring a DevOps Engineer to build and maintain deployment pipelines, infrastructure automation, and operational tooling for AI/ML workloads. You will implement CI/CD systems, containerization strategies, and IaC to transform how engineering teams deliver value, across diverse client environments.

The role emphasizes automation, self-service platforms, and reliable foundations that enable fast yet safe software delivery, with full remote work across the US.