Senior SRE / Cloud / Kubernetes / Terraform / 100% Remote

Motion Recruitment; Mount Laurel Township (NJ); Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote equipment stipend

Annual learning and development budget

Equity / Stock Options

Flexible PTO

Job summary

Motion Recruitment is seeking a Site Reliability Engineer for a remote, full-time role supporting a cloud AI infrastructure platform used by millions of developers worldwide. The position focuses on reliability, scalability, and performance across Linux, Kubernetes, GPU infrastructure, observability, and automation.

You will partner with Infrastructure, Product Engineering, and Support to improve uptime, define SLOs, reduce operational toil through automation, and lead incident response

Qualifications

• 5+ years of experience in public cloud environments (AWS/GCP).
• Strong Linux systems administration experience.
• Strong networking fundamentals and troubleshooting.
• Experience with containerized environments (Kubernetes).
• Experience with monitoring/observability tools.
• Experience defining and managing SLIs, SLOs, and reliability metrics.
• Incident response and postmortem experience.
• Scripting or programming in Python/Go/Bash.
• Distributed systems and failure scenarios.

Responsibilities

• Hands-on engineering across Linux and Kubernetes.
• Contribute to monitoring, observability, and incident response.
• Automate reliability improvements and reduce toil.
• Collaborate with Infrastructure, Product Engineering, and Support teams.

Skills

AWS/GCP

Linux administration

Networking

Monitoring/observability

SLIs/SLOs

Incident response

Scripting (Python/Go/Bash)

Distributed systems

Postmortems

Tools

Kubernetes

Prometheus Grafana

Terraform

CI/CD pipelines

Job description

Remote (USA) | Full-Time | Site Reliability Engineer

Join a rapidly growing B2B AI infrastructure company powering large-scale machine learning and AI workloads for more than one million developers worldwide. As a Site Reliability Engineer, you'll help improve the reliability, scalability, and performance of a cloud platform built on Linux, Kubernetes, distributed systems, GPU infrastructure, observability, and automation technologies. This full-time remote opportunity offers the chance to work on critical infrastructure supporting AI applications on a global scale.

As the company continues to scale its AI infrastructure platform, reliability has become a critical business function. This role sits at the center of that effort, partnering with Infrastructure, Product Engineering, and Support teams to improve uptime, strengthen observability, establish SLOs, reduce operational toil through automation, and lead incident response initiatives. The ideal candidate brings experience supporting large-scale production environments and enjoys solving complex reliability challenges while influencing engineering practices across a rapidly growing organization. This is an opportunity to gain exposure to cutting-edge AI and GPU infrastructure, take ownership of high-impact initiatives, and help shape the reliability strategy of a platform relied upon by more than one million developers.

Required Skills & Experience

• 5+ years of experience within major public cloud environment like AWS, GCP
• Strong Linux systems administration experience
• Strong networking fundamentals and troubleshooting skills
• Experience supporting containerized environments (Kubernetes preferred)
• Experience with monitoring, alerting, and observability tools
• Experience defining and managing SLIs, SLOs, and reliability metrics
• Incident response and postmortem experience
• Scripting or programming experience. Python, Go, Bash, or similar technologies
• Distributed systems and failure scenarios

Desired Skills & Experience

• Kubernetes
• Prometheus, Grafana, or similar monitoring platforms
• Experience supporting GPU infrastructure or AI/ML platforms
• Infrastructure as Code experience (Terraform preferred)
• CI/CD pipeline experience

What You Will Be Doing

Tech Breakdown

• 40% Linux & Kubernetes Administration
• 25% Monitoring, Observability & Incident Response
• 20% Automation & Reliability Engineering
• 15% Distributed Systems & Cloud Infrastructure

Daily Responsibilities

• 80% Hands-On Engineering
• 5% Management Duties
• 15% Team Collaboration

The Offer

• medical, dental, and vision benefits
• Equity / Stock Options
• Remote equipment stipend
• Annual learning and development budget
• Flexible PTO
• Career Growth Within a Rapidly Scaling AI Infrastructure Company

Applicants must be currently authorized to work in the US on a full-time basis now and in the future. Sponsorship is not available for this position

Posted By: John Gordon