Senior DevOps Engineer

About Modern Campus

Modern Campus empowers institutions to move with confidence across the modern learner journey. Our platform spans web content management, curriculum and catalog management, student engagement and lifelong learning — giving more than 1,700 colleges and universities the infrastructure they need to support the entire learner-to-earner lifecycle and deliver personalized, scalable experiences.

 We partner with the education community to create new pathways for learning and opportunity, reimagining how institutions serve the modern learner and shape the future of education.

Our purpose — our north star — is to empower institutions to confidently serve and support the modern learner.

 This mission and purpose come to life through how we show up every day:

• We exist to create empowerment through education.
• We lead with honesty and empathy.
• We shape the future through innovation.
• We become trusted partners.
• We make the complex feel possible.

Purpose

Modern Campus is looking for a Senior DevOps Engineer to build, operate, and improve the cloud infrastructure supporting our higher education products. Our environment is primarily AWS, with additional workloads in Microsoft Azure. You will bring strong production Kubernetes experience, infrastructure automation skills, and sound judgment when working with customer-facing systems.

You will own engineering work from design through production operation, partnering with Development and Information Security to modernize applications, improve reliability, and reduce manual work. You will also contribute to technical direction, mentor engineers, and participate in the on-call rotation.

For candidates with demonstrated technical leadership across teams, we are open to discussing a broader scope and level.

Responsibilities

• Design, build, and operate AWS infrastructure, including production workloads on Amazon EKS and ECS/Fargate.
• Own infrastructure projects through design, testing, deployment, rollback planning, documentation, and operational handoff.
• Develop infrastructure as code, deployment automation, and reusable platform capabilities using tools such as Terraform, Ansible, Helm, and Argo CD.
• Build and maintain deployment pipelines and automation, partnering with Development on application modernization, scaling, validation, production readiness, and rollback procedures.
• Troubleshoot infrastructure and application issues across operating systems, networking, containers, application runtimes, and database dependencies.
• Improve monitoring, performance, and cost efficiency; implement security controls in partnership with Information Security; maintain platform upgrades and patching, and test backup restoration and disaster recovery procedures.
• Contribute to technical standards and design reviews, mentor engineers, and work with management to prioritize risks and improvements.
• Participate in the on-call rotation, lead incident diagnosis, and carry out planned maintenance. Communicate clearly during incidents and use follow-up work, automation, and runbooks to reduce recurring issues.

Requirements

• Substantial infrastructure and DevOps experience, typically eight or more years in infrastructure and five or more years in automation-focused roles, or equivalent demonstrated expertise.
• Strong hands-on production Kubernetes experience, including upgrades, networking, access controls, scaling, and troubleshooting. Amazon EKS experience is strongly preferred.
• Strong AWS experience across networking, IAM, compute, storage, load balancing, and managed databases.
• Practical experience with Terraform, containers, Helm, and Git-based deployment workflows, including building and maintaining CI/CD pipelines using GitHub Actions, GitLab CI/CD, or comparable tools.
• Strong Linux administration and troubleshooting skills, including DNS, HTTP/TLS, and system performance.
• Strong practical networking and troubleshooting skills, including routing, firewalls, and secure connectivity such as site-to-site VPNs or SSH tunnels.
• Ability to write maintainable automation in Python, Go, PowerShell, or another suitable language, alongside shell scripting.
• Experience diagnosing application and database issues using metrics, logs, traces, and monitoring tools.
• Demonstrated ability to independently deliver complex work, make safe production changes, and communicate technical decisions across teams.
• A degree in Computer Science or a related field, or equivalent practical experience.

Additional Experience We Value

• Experience in one or more of the following areas is helpful but not required.
• Technical leadership across teams, including architecture, standards, mentoring, and adoption of shared capabilities.
• Modernizing established applications and building self-service tooling.
• Experience with Argo CD or Ansible.
• Experience supporting technologies such as Windows, Java/JVM, web servers, relational databases, Kafka/MSK, or OpenSearch.
• Experience with Microsoft Azure or assessing and integrating unfamiliar infrastructure through acquisitions or migrations.
• Experience with Keycloak or similar identity platforms, including single sign-on integrations using SAML or OpenID Connect.
• AI-assisted engineering and operational automation with appropriate testing, review, and access controls.

What we believe...

At Modern Campus, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply for our positions. Modern Campus is proud to be an equal opportunity workplace and is committed to bring on hires regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status (for US candidates).  If you require accommodations during any part of the interview process due to a disability, please let our recruiter know.

* Our salary ranges reflect the minimum and maximum target for new hires for the position within the US and Canada. Within the range, individual pay is determined by factors including job-related skills, experience, and relevant education or training.