Senior Software Engineer, ML Platform

What you'll do

• Design and implement scalable feature serving components to ensure millisecond-latency retrieval for real-time ML applications.
• Develop robust streaming and online data serving systems capable of handling massive concurrent request volumes.
• Optimize platform efficiency by tuning fast-access data stores and in-memory caches to meet strict low-latency SLAs.
• Translate feature engineering requirements into generalized platform capabilities and developer-facing APIs.
• Lead technical design reviews and establish coding standards to minimize technical debt across the stack.
• Mentor mid-level and junior engineers to foster a culture of technical excellence.
• Define SLIs/SLOs and build comprehensive observability systems to ensure 99.99%+ production reliability.

What we're looking for

• Bachelor’s, Master's, or PhD in Computer Science, Computer Engineering, or a related field.
• 5+ years of professional software engineering experience building and operating large-scale backend systems in production.
• Proficiency in one or more backend programming languages such as Go, Java, C++, or Python.
• Strong fundamentals in distributed systems, including concurrency, consistency, data modeling, API design, and fault tolerance.
• Proven track record of leading the design and end-to-end delivery of complex, high-throughput, low-latency software services.
• Deep understanding of fast-access NoSQL databases, in-memory caches, and key-value stores optimized for read-heavy workloads (preferred).
• Experience with real-time stream processing and event-driven architectures (preferred).
• Background in building or scaling Feature Stores or similar high-performance data serving layers (preferred).