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Sr. DevOps Engineer

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: Strategic Education, Inc.
Full Time position
Listed on 2026-10-20
Job specializations:
  • Software Development
    DevOps, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 119300 - 178900 USD Yearly USD 119300.00 178900.00 YEAR
Job Description & How to Apply Below
## Sr. Dev Ops Engineer Apply locations:
Remote:
VA Herndon (Corporate):
Minneapolis, MNtime type:
Full time posted on:
Posted 2 Days Agojob requisition :
R30230

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 Dev Ops 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, Dev Ops 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 Dev Ops, 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 Git Ops 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
*…
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