Senior Staff Software Engineer, SandboxAQ

• You have experience with Kafka and KStreams
• You have production experience with data streaming, as well as traditional RDBMS
• You have a proven ability to thrive on a small team in a fast-paced, fluid environment, effectively managing uncertainty
• You have a solid understanding of standard IT security best practices
• 5+ years of production experience with Kafka
• 3+ years of production experience with KStreams
• Practical, "production scale" experience with RDBMS (e.g., PostgreSQL)
• Proficiency in Kotlin or a willingness to learn it, with a strong background in Java

Desirable

• The Cybersecurity Group at SandboxAQ is looking for a Data Streaming Engineer to help functionalize AQtive Guard, our groundbreaking solution for modern non-human identity and cryptography management, already launching globally with major organizations like top-tier financial institutions and government agencies
• We’re looking for a Senior Staff Software Engineer with deep expertise in Kafka and data streaming to join our platform team. This role will focus on designing, building, and maintaining the data streaming pipelines that are core to our platform.
• You will be instrumental in enhancing the performance and reliability of our systems, providing our customers with groundbreaking cybersecurity analysis and protection
• Serve as the team's subject matter expert for Kafka and KStreams
• Design, build, and maintain the high-performance data streaming pipelines that form the core of the AQtive Guard platform, responsible for ingesting massive volumes of data from a wide array of sources, including first-party sensors, cloud provider APIs, and other cybersecurity platforms
• Optimize database queries and data access patterns to ensure efficiency and high performance at scale
• Take ownership of projects in a fast-paced startup environment, demonstrating a tolerance for ambiguity and a proactive approach to getting things done
• Collaborate closely with a diverse team of cryptographers, ML experts, and developers to integrate their research and advancements into new products and features