Mid-Level SRE / GCP / Kubernetes / Remote

Overview

A fast-growing AI data platform is currently looking for a Site Reliability Engineer to join their U.S.-based infrastructure team. This individual will play a key role in building and securing the infrastructure behind a platform that powers complex data workflows for the aerospace and defense industry.

In this high-impact role, you'll work closely with a global engineering team to design, build, and scale cloud-native infrastructure supporting AI/ML workloads. The ideal candidate will bring strong hands-on experience across GCP, Kubernetes, and infrastructure as code, with a focus on reliability, security, and performance. You'll help define best practices around CI/CD, observability, and incident response while contributing to the evolution of a modern, multi-cloud platform. This is an opportunity to take ownership in a growing environment where you’ll have real influence over how systems are built and operated at scale.

This is a fully remote position open to candidates based in the U.S., with occasional travel to a Chicago office (1–2 weeks per quarter).

What You Will Be Doing

Tech Breakdown

• 100% GCP

Daily Responsibilities

• 100% Hands on

Responsibilities and Qualifications

Required Skills & Experience

• 5+ years of experience in Site Reliability, DevOps, or Cloud Engineering
• Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent professional experience)
• Hands-on experience with GCP, Kubernetes, and Terraform
• Strong understanding of CI/CD pipelines (GitHub Actions, Jenkins, or similar)
• Experience building and maintaining scalable, highly available cloud infrastructure
• Familiarity with observability tools such as Prometheus, Grafana, ELK, or similar
• Experience with incident response, monitoring, and production support environments
• Strong scripting or programming experience (Python, Go, Bash, or similar)
• Understanding of security best practices in cloud environments

Desired Skills & Experience

• Experience working in a startup or product-focused environment
• Exposure to multi-cloud infrastructure (AWS + GCP)
• Experience supporting AI/ML workloads or data platforms
• Familiarity with DevSecOps practices and automated security tooling
• Experience improving developer experience through platform or “golden path” tooling

The Offer

• Salary + Benefits

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Vacation Time

Applicants must be currently authorized to work in the US on a full-time basis now and in the future.