DataOps Engineer

ControlUp creates an autonomous workplace where the day runs itself. We’re a leader in DEX, unifying digital employee experience and IT operations into one powerful platform built for modern workplace management. By combining real-time monitoring, automation, and proactive remediation, ControlUp enables IT teams to prevent issues before they impact employees, reduce operational complexity, and streamline IT environments, without the clutter of multiple tools. With ControlUp, IT works smarter, employees stay productive, and the workday runs itself. One platform. One powerful shift in how work flows. No tool sprawl. No wasted time. No interruptions. Just technology that runs smoothly, so people can get on with work that matters. The Role We're looking for a DataOps Engineer to join our DataOps team, part of the DevOps & Infrastructure group. In this role, you will ensure the performance, reliability, and scalability of our large-scale (multi-terabyte) database systems that underpin the ControlUp platform. You will be implementing best practices for database infrastructure, improving complex query performance, security, and maintenance. If you are passionate about data, building complex infrastructure and collaboration in a fast-paced environment, this role will be a great fit for you. How You’ll Spend Your Day

Manage, maintain and monitor our ClickHouse, Microsoft SQL Server, PostgreSQL, and OpenSearch databases, ensuring HA, backups, and proper security measures to protect data integrity

Use scripting tools (Python, Bash, PowerShell) to automate regular database and CI/CD tasks.

Collaborate closely with R&D, Security, and Product teams to enhance ControlUp’s data infrastructure

Help plan migrations or deployments of database systems to the cloud when needed

Your Experience and Qualifications

3+ years Experience as a DataOps Engineer

Experience with NoSQL databases (OpenSearch, Mongo, ClickHouse) - a must

Experience with RDBMS (MSSQL, PostgreSQL) on cloud environments (Azure, AWS)

Proven experience in managing and optimizing large-scale databases (hundreds of GB to multi-terabyte) 

Strong background in database infrastructure, architecture and schema design

Proficiency in at least one scripting language or tool (Bash, PowerShell, or Python)

Experience with CI/CD tools such as Azure DevOps, Liquibase

Ability to work independently and off standard hours when required

Hands-on experience creating or supporting BI reports using SQL

Strong communication and teamwork skills

Experience with linux systems and Docker - an advantage