Teams at Prevalent AI

Develop and optimize production-grade PySpark applications for distributed data processing. Responsibilities include implementing transformations, joins, aggregations, window functions, deduplication, and incremental processing; diagnosing Spark performance issues; optimizing partitions, joins, shuffles, and execution plans; and maintaining reliable batch pipelines. The role owns engineering problems through implementation, testing, deployment, troubleshooting, documentation, and collaboration with technical stakeholders.

Develops and owns production-grade PySpark and Apache Spark applications for batch and incremental data processing. Responsibilities include implementing transformations, joins, aggregations, window functions, and deduplication; diagnosing Spark execution and performance issues; optimizing partitions, joins, shuffles, and resource usage; troubleshooting production failures; and delivering reliable, tested, maintainable solutions in collaboration with engineering stakeholders.

Own the company-wide information security strategy, risk posture, governance, compliance, certifications, cloud security, AI governance, incident response, and client assurance programs. Serve as acting CISO, advise executive leadership, lead audits and major incident communications, build the security team, manage the budget, and promote secure-by-design practices and security culture across global operations.