Senior 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
$ 90KJob location
Remote
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
Go
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.
Benefits & conditions
+, $70,000-90,000 per year
About the company
Jones Lang LaSalle
+ Mountain View, CA
+ $194,168 per year
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