Senior Software Engineer, BigQuery Continuous Queries
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience programming in C++.
- Experience with distributed computing, database internals, and large-scale data processing.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience working with database or storage systems, BigQuery, or distributed databases.
- Experience programming in Java.
About the job
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
BigQuery is a multi-tenant cloud-based data warehouse storing exabytes of user data. Users ingest data into BigQuery's managed storage where we enable them to perform cost-effective large-scale analysis of their data. BigQuery powers a number of major Google Cloud Platform (GCP) customer's workflows and continues to be one of the most successful products in GCP.
Responsibilities
- Implement workload management components (autoscaling, load balancing) to support a large-scale continuous query engine.
- Implement tests and experiments to evaluate and monitor the performance of the system with a focus on throughput and cost or benefit analysis.
- Use the full battery of tools and instrumentation to develop, test, and rollout features.
- Coordinate with product engineers in all parts of the software stack.
- Debug and solve customer issues and respond to customer feedback.
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