DataOps Engineer at Case IQ
Remote, British Columbia, Canada -
Full Time


Start Date

Immediate

Expiry Date

20 Aug, 25

Salary

90000.0

Posted On

20 May, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Case IQ helps companies protect their employees, culture, and business through world-class software for uncovering, investigating, and preventing fraud, ethics, harassment, discrimination, and security incidents. We’re proud to count a roster of Fortune 500 companies among our customers, which have relied on Case IQ for managing millions of cases over the past 20 years and helping mitigate billions of dollars in financial and brand risk.
In a strategic expansion, Case IQ acquired Lextegrity, enhancing its offerings to create a comprehensive, end-to-end compliance solution. The unified platform now includes advanced whistleblowing solutions, robust case management tools, and a suite of compliance tools for approvals, disclosures, third-party risk management, and real-time compliance monitoring. By integrating real-time risk detection and AI-driven insights, Case IQ sets a new standard in compliance management, enabling faster investigations, more impactful outcomes, and enhanced operational efficiency.
We are seeking a skilled DataOps Engineer to join our team, focusing on our Lextegrity Compliance Monitoring product. This role is crucial in managing and optimizing our infrastructure and deployment processes, ensuring high availability and performance for our data analytics-oriented platform. The Compliance Monitoring product processes millions of transactions, providing risk scores and insights that help compliance users prioritize reviews and proactively avoid risks like fraud, corruption, and bribery.

Responsibilities
  • Infrastructure Management: Maintain and optimize our infrastructure, ensuring the seamless operation of systems like Airflow, Snowflake, AWS, and GitHub Actions. The candidate will also support the administration/security of these tools and seek cost optimizations as we scale.
  • Data Design, Scaling & Maintenance: Applying modern DevOps principles to the data life-cycle.
  • Deployment Automation: Develop and manage CI/CD pipelines using GitHub Actions to automate deployment processes, ensuring rapid and reliable software delivery.
  • Performance Optimization: Monitor system performance and implement improvements to ensure high availability and scalability of the compliance monitoring platform.
  • Security and Compliance: Implement best practices for security and compliance, ensuring that all systems and processes adhere to industry standards and regulations.
  • Data Quality Assurance: Work closely with QA to define a testing strategy that maintains usable data across environments, safeguards customer information, and facilitates high confidence in functionality with each deployment.
  • Collaboration: Work closely with development and data teams to ensure seamless integration and deployment of new features and updates.
  • Incident Management: Respond to and resolve system incidents, minimizing downtime and ensuring the reliability of our services.
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