Infrastructure and DevOps Engineer, AINew!

• Work on cloud infrastructure end to end, including networking, compute, storage and databases, defined in code and deployed through reviewed pipelines.
• Maintain development, staging and production environments, keeping them consistent and reproducible.
• Maintain monitoring, alerting and incident response so failures are detected by the platform not users.
• Maintain backup and recovery, including tested restores.
• Track infrastructure cost by environment and service and flag growth faster than usage.
• Implement infrastructure and platform security controls including identity, access controls, encryption and secrets management.

Qualifications & Experience:

• Bachelor's degree in computer science, engineering or a related field.
• Experience operating cloud infrastructure as code with CI/CD pipelines.
• Experience with monitoring, alerting, incident response, backup and restore testing.
• Experience with security controls, identity and secrets management.
• Experience in systems relevant to education and digital learning, including LMS platforms, is preferred.
• Exposure to AI and machine learning concepts is preferred.

Skills & Competencies:

• Infrastructure as code and pipeline automation.
• Systems reliability engineering and troubleshooting.
• Cost awareness and documentation.