DataOps Engineer

Panopto

12d • $140,000 - $150,000 • Remote

About The Position

At Panopto, we are the most customer-centric learning technology company in the world. As the leader in visual and audio-based learning, we empower organizations to share knowledge effortlessly in a capture and post-capture world. We don’t just build software; we obsess over our users’ goals to deliver solutions that truly matter. Our mission is simple: to attract the brightest talent, people like you, to Elevate the Craft and do the most impactful work of your career.

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.
Position Summary:
In this role, you will have the opportunity to do the most impactful work of your career, elevating your craft while contributing to a team that values lifelong learning.
You will engineer the lifecycle of our most critical asset: data. Your mission is to bridge the gap between Operational, Analytics, and AI data layers by treating infrastructure as code. You’ll eliminate bottlenecks in our AWS-hosted SQL Server environment, building automated, reliable pathways that ensure data is not just delivered, but is architecturally optimized for both real-time operations and long-term machine learning scalability. You'll also have opportunities to contribute to other initiatives that directly advance our core values and support you in elevating your craft.

Requirements

• 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.

Responsibilities

• Engineer the Data Lifecycle: You will design and implement the "Golden Path" for data, ensuring seamless transitions between operational SQL environments, analytics warehouses, and AI-ready data sets.
• Implement Data as Code: You’ll move beyond manual administration by treating our AWS-hosted MS SQL infrastructure as a version-controlled, automated ecosystem using CI/CD and Infrastructure as Code (IaC).
• Architect Multi-Layer Reliability: You will build the frameworks that guarantee data quality and availability across all tiers—from high-concurrency operational databases to the complex feature stores used by our AI and Machine Learning models.
• Optimize for Scalability & Performance: You’ll identify and resolve architectural bottlenecks in our massive SQL Server environment, ensuring the system can handle the high-throughput demands of modern SaaS analytics.
• Standardize Data Observability: You will develop advanced monitoring and alerting strategies that provide deep visibility into data health, ensuring that operational and analytical layers remain performant and trustworthy.
• Bridge the Engineering Gap: You’ll collaborate with Software Engineers and Data Scientists to ensure the data architecture supports both rapid product iteration and long-term research initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed