Senior Software Engineer, Data Platform

Quick Facts

• Role: Senior Software Engineer (Data Platform)
• Focus: Distributed data orchestration for AI/ML services

Description

We are building a new distributed, multi-tier data orchestration service to support critical AI/ML systems with direct business and customer value. The team uses small agile workflows, pair programming, and shared code ownership to deliver high-quality, high-impact software. The codebase is written in modern Rust, emphasizing readable, maintainable, and performant distributed systems.

Responsibilities

• Design, develop, and deploy large-scale data fabrics on cloud infrastructure such as AWS and GCP
• Build and maintain highly reliable, distributed systems in Java, Rust, and C++
• Collaborate with cross-functional teams to determine data storage needs for large-scale training and inference
• Implement and manage containerization and orchestration using Docker and Kubernetes
• Architect large-scale applications with strong runtime performance (low latency, fault tolerance, high availability)
• Contribute across the full lifecycle of system design, scalability, reliability, and maintainability

Requirements

• Experience designing, implementing, and supporting highly scalable applications and web services
• Experience with Java or Rust
• Experience with concurrent programming (locking, memory synchronization, atomic operations, etc.)
• Experience with distributed system concepts (distributed consensus, replication, failure detection, etc.)
• Bachelor’s or Master’s degree in Computer Science (or related field) or equivalent software development experience

Benefits

• Pair-programming and small agile teams with shared code ownership
• Focus on sustainable, readable, maintainable, and performant Rust code
• Multi-level testing for performance, correctness, fault injection, and race-condition simulation