Full Description

About Cellebrite

Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite.

The Role

• We are seeking a QA Engineer with a strong passion for data quality, performance, and scale to join our Data Platform team.
• This role is ideal for a QA professional who enjoys working close to complex data systems, understands large-scale pipelines, and wants to play a key role in shaping the automation and quality strategy of a data engineering organization.
• You will act as the primary quality owner for high-volume, mission-critical data platforms, working closely with data engineers, backend developers, and platform teams.

What You’ll Do

• Data Quality & Validation
• Design and execute data validation strategies for large-scale batch and streaming pipelines
• Ensure data correctness, completeness, freshness, and consistency across the data lake
• Define and automate checks for schema changes, data drift, and data quality regressions
• Performance & Scalability Testing
• Plan and execute performance and scalability tests for data pipelines and processing jobs
• Identify bottlenecks across ingestion, transformation, and querying layers
• Partner with engineers to validate performance improvements and prevent regressions
• Automation & Infrastructure
• Develop and maintain the data team’s QA automation infrastructure
• Build reusable testing frameworks and tools tailored for large datasets and pipelines
• Integrate automated tests into CI/CD pipelines and production monitoring workflows
• Collaboration & Ownership
• Work closely with data engineers, backend developers, and platform engineers throughout the development lifecycle
• Act as the sole QA owner within a cross-functional team, driving quality without becoming a bottleneck