DataOps Engineer

Panopto, Inc.; Pittsburgh (Allegheny County); On-site; USD 140,000 - 150,000; Full time

Benefits offered by this job

Health insurance

Flexible spending accounts

Retirement savings plans

Life and disability insurance

Paid and unpaid time off

Job summary

Panopto, Inc. is seeking a DataOps Engineer to architect and automate data infrastructure for a global user base. You will bridge operational, analytics, and AI data layers, treat infrastructure as code, and push data pipelines through CI/CD in an AWS-hosted MS SQL environment.

You will reduce bottlenecks, improve data quality, and collaborate with engineers and data scientists on scalable, reliable data solutions. The role emphasizes ownership and measurable impact.

Qualifications

• 5+ years of experience in DevOps or Database Administration.

Responsibilities

• Engineer the Data Lifecycle: design and implement the data pipeline path from operational DBs to analytics warehouses and AI-ready datasets.

Skills

AWS & SQL Mastery

Automation Fluency

Outcome-Oriented

Tools

Python

Bash

PowerShell

C#

Job description

Company Overview:

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.

How You’ll Contribute:

In this role, you will have the opportunity to…

• 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.

How We Thrive:

You’ll join a team of talented engineers—from DevOps to Design—where we challenge ideas, not people. We believe our success depends on our Collective Wisdom, supporting each other through complex projects and celebrating continuous improvement.

The Foundation for Success:

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.

What Success Looks Like:

• 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.

$140,000 - $150,000 a year

Total Rewards:

The salary range for this position is $140,000 - $150,000 USD per year. This position is also eligible for a bonus as part of the compensation package.

Base pay offered may vary depending on various factors, including, but not limited to: job-related knowledge, skills, experience, and other eligibility factors such as geographic location. The Total Rewards package includes competitive base pay and an opportunity to enroll in a variety of benefit programs such as health insurance, flexible spending accounts, retirement savings plans, life and disability insurance programs, and programs that provide for both paid and unpaid time away from work. At Panopto, we know that great people make an organization great. We value our people and offer employees benefits that are market competitive for our industry. Learn more about what working at Panopto can mean for you.

At Panopto, our commitment to pay equity and transparency is unwavering. We do not engage in salary negotiations beyond the established range to maintain fairness and prevent potential pay disparities among team members based on negotiation strategies.

The standard interview process at Panopto involves several steps, outlined below, to ensure we approach the process thoughtfully and consistently:

Application Review -> Recruiter Call -> Video Interview & Assessment -> Hiring Manager Call -> Interview Loop -> Debrief -> Offer

Our people and culture

Panopto’s mission is to be the leader in visual and audio-based learning in a capture and post-capture world. Our user base is as diverse as the world’s universities and businesses. Panopto’s commitment to fostering a fair, equitable, and inclusive culture empowers each member of our team to express their authentic selves, contribute their distinct perspectives and make a meaningful impact both individually and collectively. This inclusive environment not only encourages creativity and the free exchange of ideas but also harnesses the power of varied viewpoints. As a result, we are better equipped to tackle our most intricate challenges, leveraging the wealth of different experiences and backgrounds within our team. This collaborative spirit empowers us to challenge ideas (not people) recognizing that our shared success relies on collective wisdom. It drives us to continuously improve and innovate, ultimately elevating the quality of our products and services. It’s what sets Panopto apart as a unique and rewarding place to work.

Our purpose

We believe that video can have a transformative effect on learning. So we built a video knowledge management platform that helps businesses and universities improve the way that they train, teach, and share knowledge. Since 2007, we have been a pioneer in video capture software, video management, and inside-video-search technology. Panopto has been adopted by more than 1,600 companies and universities worldwide with over 11 million end users. Today, Panopto’s knowledge management platform is the largest repository of expert learning videos in the world. A proud remote-first company, Panopto is headquartered in Pittsburgh, with offices in London, Hong Kong, Singapore, and Sydney, and has received industry recognition for its innovation, rapid growth, and company culture.

Panopto is an Equal Opportunity Employer.

We value and encourage diversity and solicit applications from all qualified individuals which will receive consideration for employment without regard to race, color, religion, sex, marital status, sexual orientation, gender identity or expression, national origin, age, disability or protected veteran status, or any other legally protected criteria, in accordance with applicable law. Panopto is committed to providing reasonable accommodation to applicants with disabilities. If you require accommodation for interviewing or otherwise participating in the employee selection process, please provide more detail on how we can further support you by reaching out to the Employee Experience department.

Remote, US:

Candidates looking for flexible or remote-friendly positions are encouraged to apply. Panopto is proud to be a remote-first company. Employees in this position are eligible to work remotely.

Remote, International:

Candidates looking for flexible or remote-friendly positions are encouraged to apply. Panopto is proud to be a remote-first company. Employees in this position are eligible to work remotely. Still, they may make regular trips to the local international office from time to time, where applicable.

Use of Artificial Intelligence (AI):

Panopto may utilize artificial intelligence (AI) tools to assist in our recruitment and evaluation process. This may include analyzing resumes, assessing skills, and generating insights to help identify qualified candidates.

Please be assured that AI tools are used to support our team, and all final hiring decisions are made by human reviewers. Panopto hiring teams will thoroughly review your application and assessment results. AI is not used to make final decisions regarding your candidacy.

By submitting your application and participating in the recruitment process, you acknowledge and consent to Panopto's use of AI tools as described above.

We are committed to full compliance with all applicable labor laws, including Equal Employment (EEOC) laws, across all our company entities.

To ensure fairness and transparency: We have human oversight in all hiring decisions. If you have concerns regarding the use of AI in your assessment, please contact Panopto Talent Attraction to request a manual review of your application. Please be aware that while we offer this option, the manual review process may take longer than the standard AI-assisted process.

Any data collected during this process, including video recordings if applicable, will be retained only for the duration necessary to fulfill the hiring purpose and will be deleted shortly thereafter once the role is filled.

We may utilize vendor tools to assist with the AI process. Vendor functions are ‘skill assessments' or 'resume analysis'.

Panopto is dedicated to a fair and equitable hiring process for all candidates.