Staff Backend Engineer, Core Data Service

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San Jose, United States of America

yesterday

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Compensation

$ 187K

Job location

San Jose, United States of America

Tech stack

Clean Code Principles

Java

Artificial Intelligence

C++

Data as a Services

Distributed Data Store

Distributed Systems

Machine Learning

Meta-Data Management

Pattern Recognition

Redis

System Availability

Backend

Core Data

Information Technology

Software Coding

Job description

Lead the architectural design and evolution of the core data service in a global context. Drive the design and implementation of complex solutions for active-active architecture, cross-region data consistency, and high availability, ensuring world-class stability and scalability.

Engage deeply in the development of core metadata management, storage, and distribution systems. Continuously optimize for performance to guarantee extreme efficiency under trillion-level data scales and tens of millions of QPS.
Explore and drive the deep integration of AI technologies with core data services. Apply an AI-Native mindset to design and implement innovative solutions such as intelligent data insights, AI-assisted architecture governance, and anomalous pattern detection to enhance system intelligence and automation.
As a domain expert, analyze business needs and technology trends to define the medium-to-long-term technical roadmap for data services, and lead the team to overcome key technical challenges.

Requirements

Bachelor's degree or higher in Computer Science or a related field, with 5+ years of experience in developing large-scale backend distributed systems.

Extensive hands-on experience in designing and implementing globalized, active-active architectures, with a deep understanding of the associated challenges and proven solutions.
Proficiency in at least one mainstream backend language (e.g., Go, C++, Java) with strong coding skills, a commitment to clean code, and an AI-Native coding mindset.
Proven ability to lead the design and successful delivery of complex distributed systems projects with demonstrable results., Practical experience with AI-Native systems or AIOps; a proven track record of applying AI/ML technologies to the infrastructure domain is a strong plus.
In-depth understanding of the principles of, or source-level contributions to, at least one distributed storage system (e.g., Redis, RocksDB, Spanner).
A strong passion for technology, with excellent problem-solving, communication, and collaboration skills.

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