Cloud Security DevOps Engineer

Data Engineering & Backend Development Salary: $112,500-$135,000 Day-to-Day: Design, develop, test, and deploy backend services and data pipelines processing terabytes of data. Support core advertising and ACR systems through scalable, reliable engineering solutions. Build and maintain ETL workflows and platform services across the data ecosystem. Platform Tooling & Governance: build internal tooling that supports data governance, data quality, and compliance initiatives. Help maintain standards and controls across critical data assets. Contribute to platform improvements that make large-scale data systems more reliable and manageable. System Ownership & Troubleshooting: Build understanding across multiple complex pipelines and platform projects. Troubleshoot and resolve bugs in distributed systems and large-scale processing workflows. Define technical enhancements, scope deliverables, and provide estimates for smaller features. Cross-Functional Collaboration: Work closely with product managers, data scientists, and engineering teams in the US and India. Communicate technical concepts clearly to both technical and non-technical stakeholders. Support planning and development efforts across multiple components of the data platform. Must-Haves Bachelor’s degree in Computer Science, Engineering, or related technical field 3-4 years of relevant professional software development experience Strong proficiency in data structures and algorithms Solid understanding of operating systems, computer networks, and DBMS Strong problem-solving and analytical skills Clear written and verbal communication Ability to collaborate effectively across time zones Experience with Apache Spark (PySpark or Scala‑Spark) Hands‑on experience with Databricks and Apache Airflow Experience building and scaling ETL processes This is a direct hire opportunity. The selected candidate will be employed directly by our client. All compensation and benefits, including but not limited to medical insurance, retirement plans, paid time off, and other perks, will be provided by the client in accordance with their internal policies and subject to applicable laws and eligibility requirements. #J-18808-Ljbffr