About the role

The Data Platform team is uniquely positioned at the intersection of security, big data and cloud computing. We are responsible for providing ultra low-latency access to global security insights and intelligence data to our customers, and enabling them to act in near real-time. We’re looking for a seasoned engineer to help us build next-generation data pipelines that provide near real-time ingestion of security insights and intelligence data using cloud and open source data technologies

What’s in it for you

This role offers the opportunity to lead quality strategy for two strategic products within high-volume, cloud-scale data systems. You will define technical and quality standards from the ground up, collaborate with product and data systems experts to solve complex challenges. This position balances hands-on technical engagement with the responsibility of scaling a growing team where you’ll develop innovative and cutting edge solutions to achieve the team's goals and objectives and refine your leadership skills in a high-impact engineering environment.

What you will be doing

• Lead and mentor a team of 4–6 engineers while fostering a culture of collaborative ownership
• Define quality strategy and technical standards and create measurable paths to achieve them
• Establish metrics and KPIs to rigorously measure and enhance product reliability
• Providing technical leadership and guidance to team members, design automation frameworks and comprehensive testing strategies
• Measure and establish data integrity, system performance, reliability in the face of failures
• Build trust through partnerships, be a passionate advocate for quality and customer success
• Partner with engineering throughout the development lifecycle to integrate quality into the core architecture
• Coordinate across Product, Engineering, Program Management teams to align on quality objectives and timelines
• Support production software deployments and root causing customer escalations

Required skills and experience

• 10+ years of hands-on technical experience in quality engineering and 1+ years of people management experience leading teams

• Prior experience as an Senior/Lead Individual Contributor and brings that credibility to leadership
• Proven track record of developing automation frameworks and testing strategies, apply modern tools and practices
• Expertise in complex, distributed data systems and their quality challenges
• Expertise in programming languages like Python and SQL
• Strong understanding of microservices, APIs, and cloud-native architectures
• Big data -Spark, Iceberg, Messaging like Kinesis, Kafka etc
• Experience with databases like Postgres, Clickhouse, Trino, CI/CD tools like Jenkins, Drone etc.
• Strong written and verbal communication skills and can articulate the quality objectives and why it matters for customer success

Education

• BSCS or equivalent required, MSCS or equivalent strongly preferred

#LI-SM1