Sr. DevOps Engineer

Senior DevOps Engineer

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. 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.

What You'll Do

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

Required Experience

Cloud & Platform Engineering

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

CI/CD, Automation & Development

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

Observability, Data & Security

Experience with monitoring and observability tools

Experience working with databases and distributed systems

Familiarity with security scanning and vulnerability management tools

Preferred Experience

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

Education

Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience

Preferred Certifications

GCP Professional certifications