Senior SRE: Cloud, Kubernetes & Terraform (Remote)

Motion Recruitment; Mount Laurel Township (NJ); Remote; USD 130,000 - 180,000; Full time

Benefits offered by this job

Medical, dental, and vision benefits

Equity / Stock Options

Remote equipment stipend

Annual learning and development budget

Flexible PTO

Career Growth Within a Rapidly Scaling

Job summary

Motion Recruitment is seeking a Site Reliability Engineer for a remote, full-time role supporting a cloud platform used by millions of developers. You will help improve reliability, scalability, and performance across Linux, Kubernetes, distributed systems, GPU infrastructure, observability, and automation.

You’ll partner with Infrastructure, Product Engineering, and Support teams to define SLOs, reduce toil through automation, and lead incident response.

Qualifications

• 5+ years in a major public cloud environment (AWS or GCP).
• Strong Linux systems administration experience.
• Solid networking fundamentals and troubleshooting skills.
• Experience with containerized environments (Kubernetes).
• Experience with monitoring/observability tools and reliability metrics.
• Incident response and postmortem experience.
• Programming/scripting in Python, Go, Bash, or similar.

Responsibilities

• Hands-on engineering across Linux and Kubernetes administration.
• Define and manage SLIs, SLOs, and reliability metrics.
• Lead incident response and postmortems to drive improvements.
• Automate reliability tasks to reduce operational toil.
• Collaborate with Infra, Product Engineering, and Support teams.

Skills

AWS

GCP

Linux administration

Networking fundamentals

Kubernetes

Monitoring observability

SLIs SLOs

Incident response

Python Go Bash

Distributed systems

Tools

Prometheus

Grafana

Terraform

CI/CD tooling

Job description

Motion Recruitment is seeking a Site Reliability Engineer for a remote, full-time role supporting a cloud platform used by millions of developers. You will help improve reliability, scalability, and performance across Linux, Kubernetes, distributed systems, GPU infrastructure, observability, and automation.

You’ll partner with Infrastructure, Product Engineering, and Support teams to define SLOs, reduce toil through automation, and lead incident response.