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Mid LevelFull-timePythonRustC#AWSMachine LearningAgileCI/CDAI
Salary Range
$140,000 - $150,000 /year
About the Role
We are seeking a DataOps Engineer to architect the 'Golden Path' for our data infrastructure at Panopto. You will transform how we manage the data powering our platform for 10+ million users by replacing manual database management with automated, code-driven pipelines that enable seamless growth and rapid innovation.
Key Responsibilities
- →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.
Requirements
- ✓5+ years of experience in DevOps or Database Administration
- ✓Deep expertise in managing MS SQL Server on AWS infrastructure (EC2, S3, CloudWatch)
- ✓Proficiency in Python, Bash, or PowerShell and working knowledge of C# to build robust automation scripts
- ✓Outcome-oriented mindset with a focus on results that improve the daily quality of life for the entire engineering team
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