Sr Software Engineer - ML platform
Key Skills for This Role
Full Job Posting
What You Will Do
- Design & Build: Own the architecture and implementation of highly scalable feature serving components, ensuring millisecond-latency feature retrieval for real-time ML applications.
- Scale Infrastructure: Develop robust streaming and online data serving systems that handle massive concurrent request volumes, ensuring high availability, fault tolerance, and graceful degradation under load.
- System Performance: Optimize platform efficiency by tuning underlying fast-access data stores and in-memory caches to guarantee strict low-latency SLAs.
- Cross-Functional Collaboration: Partner closely with ML engineers, data scientists, and product teams to translate feature engineering needs into generalized platform capabilities and elegant, developer-facing APIs.
- Technical Leadership: Lead technical design reviews, establish coding standards, and guide architectural decisions to minimize technical debt across the feature serving stack.
- Mentorship: Elevate the engineering bar by mentoring mid-level and junior engineers, fostering a culture of technical excellence and continuous learning.
- Operational Excellence: Own the production health of the feature serving layer. Define SLIs/SLOs, build comprehensive observability (metrics, distributed tracing), and participate in on-call rotations to ensure 99.99%+ reliability.
- For Sunnyvale, CA-based roles: The base salary range for this role is USD $202,000 per year - USD $224,000 per year.
- You will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. All full-time employees are eligible to participate in a 401(k) plan. You will also be eligible for various benefits.
Basic Qualifications
- 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, covering 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.
Preferred Qualifications
- Deep understanding of fast-access NoSQL databases, in-memory caches, and key-value stores (e.g., Redis, Cassandra, DynamoDB) optimized for read-heavy workloads.
- Experience with real-time stream processing and event-driven architectures (e.g., Kafka, Flink).
- Background in building or scaling Feature Stores (e.g., Feast, Tecton) or similar high-performance data serving layers.
- Excellent written and verbal communication skills, with experience writing comprehensive technical design documents.
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