Senior Staff Data Platform Engineer - Kafka - Apache Iceberg - Apache Spark

📋 Description

• Architect, design, and build high-performance distributed systems and platform components.
• Build distributed systems data ingestion solutions with strong emphasis on scalability, quality
• Design software that is easy to use, extend, and customize for customer-specific environments.
• Deliver high-quality, clean, modular, and reusable code while enforcing engineering best practices
• Build foundational libraries, frameworks, and tools focused on modularity, extensibility
• Collaborate across engineering teams to refine requirements and deliver end-to-end solutions.

🎯 Requirements

• Experience leveraging or critically thinking about how to integrate AI into engineering work —
• 10+ years of software development experience with a Bachelor's degree; OR 8+ years with a Master's
• Strong fundamentals in distributed systems architecture, design patterns, and algorithms.
• Deep programming expertise in Java, including JVM internals, memory models, and garbage collection.
• Proven experience in JVM performance tuning, profiling, and diagnosing performance bottlenecks.
• Strong understanding of concurrency, networking, sockets, OS internals, and performance

🎁 Benefits

• Base pay of $181,200 - $317,100, plus equity (when applicable), variable/incentive compensation.
• Health plans, including flexible spending accounts.
• 401(k) Plan with company match.
• ESPP (Employee Stock Purchase Plan).
• Matching donations.
• Flexible time away plan.