DataOps Engineer

As we scale our global reach, we are seeking a DataOps Engineer to architect the 'Golden Path' for our data infrastructure. You will transform how we manage the data powering Panopto for 10+ million users by replacing manual database management with automated, code-driven pipelines that enable seamless growth and rapid innovation.

The DataOps Mindset: You have 5+ years of experience in DevOps or Database Administration, with a passion for migrating legacy data systems into modern, automated workflows.

• AWS & SQL Mastery: You bring deep expertise in managing MS SQL Server on AWS infrastructure (EC2, S3, CloudWatch).

• Automation Fluency: You are proficient in Python, Bash, or PowerShell and have a working knowledge of C# to build robust automation scripts that bridge the gap between application and data.

• Outcome-Oriented: You Act with Ownership, focusing on results that improve the daily quality of life for the entire engineering team.

• Within 6 Months (Integration & Audit): You will have completed an audit of our data deployment processes and identified the top three bottlenecks in our current release cycle.

• Within 1 Year (Measurable Impact): You will have implemented automated CI/CD for database schema changes, leading to a measurable reduction in deployment-related downtime.

• Your Legacy (Full Ownership): You will own the "Data as Code" strategy, ensuring our data layer is as agile and resilient as our application layer.

As a DataOps Engineer, you aren't just managing a database; you are building the automated engine that ensures knowledge is accessible, secure, and reliable at a global scale. Join us to move the needle on data agility and Elevate the Craft of modern engineering.