Sr. DevOps Engineer

Strayer Education, Inc.•Minneapolis, MN

1d•Onsite

About The Position

Education Technology Services (ETS), a dynamic sub-division of Strategic Education Inc (SEI), is dedicated to revolutionizing the landscape of online education. Our flagship products, Sophia Learning and Workforce Edge, are at the forefront of providing accessible, affordable, and high-quality education solutions. Sophia Learning offers self-paced online general education courses recommended for college credit, while Workforce Edge is a cutting-edge education benefit management platform. We're seeking a Senior DevOps Engineer supporting the Sophia Learning and Workforce Edge platforms. The ideal candidate combines deep hands-on expertise with strong technical leadership setting standards, mentoring engineers, designing scalable solutions, and supporting compliance initiatives. This is a high-impact role for someone who thrives at the intersection of engineering excellence and operational reliability.

Requirements

5+ years of DevOps, platform, or infrastructure engineering experience
3+ years of hands-on experience with GCP
3+ years of Kubernetes experience
Strong experience with serverless architectures
Experience with Infrastructure as Code
Hands-on experience with Docker and container registries
Familiarity with Kubernetes autoscaling and node provisioning tools
Expert-level experience with CI/CD tools
Strong proficiency with Git
Experience with scripting and automation
Experience building and consuming REST APIs
Familiarity with GitOps workflows
Experience with monitoring and observability tools
Experience working with databases and distributed systems
Familiarity with security scanning and vulnerability management tools
Bachelor’s degree in Computer Science, Engineering, or related field or equivalent experience

Nice To Haves

Familiarity with AI coding assistants and integrating them into engineering workflows
Exposure to CI/CD pipelines that incorporate automated analysis or decision-making alongside traditional processes
Understanding of when to apply automation vs. human judgment, with appropriate safeguards
Interest in evolving the SDLC through AI-driven practices such as prompt engineering and tool orchestration
GCP Professional certifications

Responsibilities

Architect, design, and implement scalable, cloud-native solutions on Google Cloud Platform (GCP) using serverless technologies (Cloud Run, Cloud Functions) and Kubernetes (GKE)
Lead end-to-end delivery of infrastructure and platform solutions, including design, development, testing, deployment, and continuous improvement
Own and evolve the organization’s CI/CD strategy, including build automation, testing gates, and production deployment workflows
Design and maintain containerized workloads (Docker, Kubernetes), including Helm charts, autoscaling strategies, and service mesh configurations
Build and optimize serverless architectures to improve scalability and reduce operational overhead and cost
Establish and enforce best practices for scalability, availability, security, and performance across production systems
Drive observability and monitoring strategies (logging, alerting, incident response)
Lead production support and reliability efforts, including incident management, root cause analysis, and postmortems
Mentor engineers on cloud architecture, DevOps practices, and infrastructure-as-code patterns
Partner cross-functionally with product, security, and engineering teams to deliver business value quickly
Manage complex initiatives in an agile environment, balancing technical debt with feature delivery
Identify and evaluate emerging technologies, rapidly prototyping solutions to inform technical direction
Champion automation, process improvement, and tooling modernization across engineering