Sr. DevOps Engineer

Strategic Education, Inc. is dedicated to revolutionizing the landscape of online education. They are seeking a Senior DevOps Engineer to support the Sophia Learning and Workforce Edge platforms, combining hands-on expertise with technical leadership to design scalable solutions and ensure operational reliability.

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

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
• Must be able to travel 10% of time
• Must be able to lift 20 lbs
• Typical office setting
• Mobility within the office including movement from floor to floor
• Travel via plane, car, and metro may be required to perform this job
• Must be able to work more than 40 hours per week when business needs warrant
• Access information using a computer
• Effectively communicate, both up and down the management chain
• Effectively cope with stressful situations
• Strong mental acuity
• Regular, dependable attendance and punctuality are essential functions of this job
• 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