DevOps Engineer - Flexible Hours, Fast CI/CD

Namespace; New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive salary and stock options

Flexible working hours

Market-leading parental leave

Job summary

Namespace Labs is seeking a DevOps Engineer to own the infrastructure behind every build our customers run, keeping it fast, reliable, and cost-effective. You’ll manage compute, storage, and networking at scale, improving performance across the stack and driving automation across the fleet.

You’ll collaborate with product engineers to ship new capabilities quickly, while maintaining observability, on-call readiness, and a culture of fast, data-driven decisions.

Qualifications

• Experience operating production infrastructure at scale.
• Deep knowledge of Linux, networking, and storage.
• Experience with observability tooling and on-call rotations.
• Proficiency in Go or Python; automation-focused.
• Strong focus on performance measurement and improvement.
• Nice to have: bare metal or virtualization in CI/CD environments.

Responsibilities

• Own the reliability, performance, and scalability of the infrastructure that runs builds, tests, and CI jobs for customers.
• Optimize compute, memory, storage, and networking performance.
• Automate provisioning, deployment, scaling, and recovery across the fleet.
• Build observability, alerting, and incident response processes to pre-empt issues.
• Drive capacity planning and cost efficiency while maintaining speed.
• Collaborate with product engineers to ship capabilities quickly and safely.

Skills

Linux

Networking

Storage

Kubernetes

Terraform

Go

Python

Observability

On-call rotations

Performance optimization

Tools

Kubernetes

Terraform

CI/CD systems

KVM

Firecracker

Job description

Namespace Labs is seeking a DevOps Engineer to own the infrastructure behind every build our customers run, keeping it fast, reliable, and cost-effective. You’ll manage compute, storage, and networking at scale, improving performance across the stack and driving automation across the fleet.

You’ll collaborate with product engineers to ship new capabilities quickly, while maintaining observability, on-call readiness, and a culture of fast, data-driven decisions.