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Software Developer III, Infrastructure, AlloyDB - Job Opportunity at Google

Waterloo, Canada
Full-time
Senior
Posted: February 11, 2025
On-site
USD 136,000-200,000 per year

Benefits

Competitive base salary with bonus structure
Equity compensation package
Comprehensive healthcare benefits
Professional development opportunities
Work-life balance initiatives
Location flexibility between Sunnyvale and Waterloo

Key Responsibilities

Lead technical design reviews and architecture decisions for AlloyDB infrastructure
Drive quality improvements through code review and best practices implementation
Develop and optimize database internals and query processing systems
Integrate machine learning capabilities with database technologies
Lead scalability and performance optimization initiatives
Contribute to technical documentation and knowledge sharing

Requirements

Education

Bachelor's degree or equivalent practical experience

Experience

2 years of experience with software development in C++, or 1 year with advanced degree

Required Skills

C++ development Infrastructure and distributed systems design Relational database development Database internals knowledge Query processing and optimization Machine learning application in systems Performance analysis System debugging Software testing
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Sauge AI Market Intelligence

Industry Trends

Database systems are increasingly incorporating AI/ML capabilities for self-tuning and optimization Growing demand for cloud-native database solutions with enterprise-grade reliability Shift towards hybrid cloud architectures requiring sophisticated data management solutions Rising importance of performance optimization for large-scale distributed systems

Salary Evaluation

The offered range of USD 136,000-200,000 is competitive for senior database engineering roles, particularly at major tech companies. Total compensation including equity and bonuses typically ranges from USD 220,000-350,000

Role Significance

Typically part of a 6-8 person core database engineering team, collaborating with broader infrastructure groups of 20-30 engineers
Senior technical position with significant influence on core infrastructure decisions and architectural direction

Key Projects

Database engine optimization and performance tuning ML-driven query optimization systems Distributed systems architecture design Scale-out infrastructure implementation

Success Factors

Deep understanding of database internals and distributed systems Ability to bridge traditional database engineering with modern ML applications Strong system design and performance optimization skills Excellent collaboration abilities for cross-functional projects

Market Demand

Very high demand, particularly for engineers with combined database and ML expertise. This skillset intersection is rare and highly valued in the current market

Important Skills

Critical Skills

Database internals expertise - fundamental for core engine development Distributed systems experience - essential for cloud-scale operations C++ proficiency - required for performance-critical components Machine learning integration capabilities - key differentiator for next-gen features

Beneficial Skills

PostgreSQL knowledge Cloud infrastructure experience Performance tuning expertise System reliability engineering background

Unique Aspects

Rare opportunity to work on cutting-edge database technology with ML integration
Significant impact potential on a rapidly growing product
Access to Google's vast technical resources and expertise
Balance of startup-like product development with big-tech stability

Career Growth

2-4 years in role before advancement, depending on impact and project success

Potential Next Roles

Principal Engineer Technical Lead Engineering Manager Database Architect Distinguished Engineer

Company Overview

Google

Google Cloud is rapidly expanding its database offerings to compete with established players like AWS and Azure, with AlloyDB being a strategic investment in the PostgreSQL-compatible database market

Leading cloud provider with significant resources and technical expertise, particularly strong in ML/AI integration
Waterloo office represents a strategic R&D hub for database development, with strong ties to local technical talent
Fast-paced, innovation-focused environment with high emphasis on technical excellence and collaborative problem-solving
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