DevOps / IaC Engineer

Alignerr; Seattle (WA); Remote; USD 34,000 - 138,000; Part time

Job summary

Labelbox is seeking a DevOps/IaC Engineer (Contract) to design and maintain cloud infrastructure for AI development pipelines. You will automate with Terraform, Pulumi, or CloudFormation, and optimize performance and reliability across AWS, Azure, or GCP.

The role is fully remote (US preferred), hourly, with asynchronous collaboration and a rolling start date. 4+ years in DevOps/SRE and strong IaC skills are expected.

Qualifications

• 4+ years of professional DevOps, SRE, or infrastructure roles with IaC focus.
• Bachelor’s degree in CS/Engineering or related field; advanced degrees preferred.
• Deep hands-on experience with Terraform, Pulumi, or CloudFormation, plus cloud platforms.

Responsibilities

• Design and maintain cloud-based infrastructure for AI development pipelines.
• Automate infrastructure using IaC tools (Terraform, Ansible, etc.).
• Monitor, optimize and scale systems for reliability and performance.
• Identify bottlenecks and resolve deployment issues; document decisions clearly.
• Contribute to CI/CD pipelines and maintain modular, DRY IaC practices.

Skills

DevOps

SRE

IaC

CI/CD

Cloud computing

Education

Bachelor's degree (or pursuing) in CS/Engineering

Master's or PhD preferred

Tools

Terraform

Pulumi

AWS CloudFormation

Ansible

Docker

Kubernetes

GitHub Actions

CircleCI

AWS / GCP / Azure

Job description

DevOps/IaC Engineer (Contract)

Labelbox

Remote (UnitedStates preferred) Shape the data that powers frontier AI

Quick facts

• Engagement - Hourly, at‑will contractor
• Schedule - Fully remote & asynchronous (min.15hrs/week)
• Pay Range (US) – $25–$100 per hour
• Start Date - Rolling — staffed as projects launch

What you’ll do

• Design and maintain cloud-based infrastructure (AWS, GCP, or Azure) for AI development pipelines.
• Automate infrastructure using tools like Terraform, Ansible, or similar.
• Monitor and improve system performance, reliability, and scalability.
• Identify and resolve infrastructure bottlenecks or deployment issues.
• Summarize your troubleshooting, design, and optimization decisions clearly and concisely.

You’re a great fit if

• Fluent in English with strong writing and communication skills.
• Expertise in DevOps and Infrastructure as Code (IaC): containers (Docker), orchestration (Kubernetes), CI/CD (GitHub Actions, CircleCI, etc.).
• 3–5 years of experience in DevOps, cloud infrastructure, or SRE roles is a plus.
• Bachelor’s degree (or pursuing one) in Computer Science, Engineering, or related field. Master's or PhD preferred.
• Deep interest in AI/ML infrastructure, cloud computing, or secure system design.
• 4+ years of professional experience in DevOps, SRE, or infrastructure roles with a focus on IaC.
• Deep hands‑on experience with Terraform (preferred), Pulumi, or AWS CloudFormation.
• Proficiency with at least one major cloud provider (AWS preferred; Azure or GCP acceptable).
• Strong understanding of networking, IAM, VPCs, security groups, and resource policies.
• Comfortable writing modular, DRY IaC, and using state management practices responsibly.

About the role

• Flexible workload — work from anywhere, on your own schedule
• High impact — your craft directly improves models used by top AI labs & Fortune500 teams
• Clear ownership — know exactly what success looks like and have autonomy to deliver
• Growth potential — consistent high performers spearhead new programs and mentor incoming SMEs

Interview process

• Complete a screening with Zara, our AI interviewer in English, to learn more about your background and experience.
• Domain-specific Zara interview to assess your DevOps expertise, including Infrastructure as Code, CI/CD pipelines, and VMs.

About Labelbox

Labelbox builds the data engine that accelerates breakthrough AI. Our platform, expert services, and marketplace let teams iterate on data as nimbly as they iterate on code, enabling safer, smarter models in production. We’re backed by SoftBank, AndreessenHorowitz, BCapital, GradientVentures, DatabricksVentures, and KleinerPerkins, and trusted by leading research labs and enterprises worldwide.