DataOps Engineer

DataOps Engineer

Full-Time 104000 - 110000 £ / year (est.) Home office possible
Panopto

At a Glance

  • Tasks: Engineer data infrastructure and automate processes for seamless growth and innovation.
  • Company: Join Panopto, a leader in visual and audio-based learning technology.
  • Benefits: Competitive salary, remote work options, and comprehensive benefits package.
  • Why this job: Make a real impact by optimising data management for millions of users.
  • Qualifications: 5+ years in DevOps or Database Administration with AWS and SQL expertise.
  • Other info: Collaborative culture that values diversity and continuous improvement.

The predicted salary is between 104000 - 110000 £ per year.

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. 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.

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 will have the opportunity to:

  • Engineer the Data Lifecycle: 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: 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: Build 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: 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: 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: Collaborate with Software Engineers and Data Scientists to ensure the data architecture supports both rapid product iteration and long-term research initiatives.

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: 5+ years of experience in DevOps or Database Administration, with a passion for migrating legacy data systems into modern, automated workflows.
  • AWS & SQL Mastery: Deep expertise in managing MS SQL Server on AWS infrastructure (EC2, S3, CloudWatch).
  • Automation Fluency: 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: 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.

Compensation: $140,000 - $150,000 a year. This position is also eligible for a bonus as part of the compensation package. 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.

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.

We’re eager to meet people that believe in our mission and can contribute to our team in a variety of ways - not just candidates who check all the boxes. We want people to feel comfortable expressing their true selves and to come, stay, and do their best work here.

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.

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.

DataOps Engineer employer: Panopto

At Panopto, we pride ourselves on being a remote-first company that champions a culture of inclusivity and continuous learning. As a DataOps Engineer, you will not only have the opportunity to work with cutting-edge technology but also be part of a collaborative team that values your contributions and supports your professional growth. With competitive compensation, comprehensive benefits, and a commitment to employee well-being, Panopto is an exceptional place to elevate your craft and make a meaningful impact in the world of learning technology.
Panopto

Contact Detail:

Panopto Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land DataOps Engineer

✨Tip Number 1

Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.

✨Tip Number 2

Prepare for those interviews! Research Panopto and understand our mission. Tailor your answers to show how you can elevate the craft and contribute to our data-driven goals.

✨Tip Number 3

Show off your skills! If you’ve got a portfolio or projects that demonstrate your DataOps expertise, bring them along. Real-world examples can make you stand out from the crowd.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our team.

We think you need these skills to ace DataOps Engineer

DataOps
AWS
MS SQL Server
CI/CD
Infrastructure as Code (IaC)
Python
Bash
PowerShell
C#
Data Quality Assurance
Automation
Data Lifecycle Management
Monitoring and Alerting Strategies
Collaboration with Software Engineers
Problem-Solving

Some tips for your application 🫡

Tailor Your Resume: Make sure your resume speaks directly to the DataOps Engineer role. Highlight your experience with AWS, SQL, and automation tools like Python or Bash. We want to see how your skills align with our mission to elevate the craft!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data management and how you envision contributing to our team. Let us know why you're excited about the opportunity at Panopto and how you can help us transform data infrastructure.

Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to implement automated workflows and manage data effectively. We love seeing real-world applications of your skills!

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at Panopto!

How to prepare for a job interview at Panopto

✨Know Your DataOps Inside Out

Before the interview, brush up on your DataOps principles and practices. Be ready to discuss how you've implemented data as code in previous roles, especially with AWS and SQL Server. This will show that you understand the core responsibilities of the DataOps Engineer position.

✨Showcase Your Automation Skills

Prepare examples of how you've used automation tools like Python or PowerShell to streamline processes. Highlight specific projects where you eliminated manual tasks and improved efficiency. This will demonstrate your ability to contribute to Panopto's mission of optimising data management.

✨Understand the Company Culture

Familiarise yourself with Panopto's commitment to user-centric solutions and continuous improvement. Be ready to discuss how your values align with theirs, particularly around collaboration and innovation. This will help you connect with the interviewers on a personal level.

✨Prepare Questions That Matter

Think of insightful questions to ask during the interview. Inquire about their current data challenges or how they envision the future of their data infrastructure. This shows your genuine interest in the role and helps you assess if it's the right fit for you.

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