Senior Software Development Engineer - Data Cloud
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Location: Pleasanton, California, United States; Flex hybrid work with at least 50% of each quarter spent in the office or in the field with customers, prospects, or partners depending on the role.
Annual base salary: $190,100–$285,100 USD for the primary Pleasanton location; $160,100–$285,100 USD for additional US locations. The role may also be eligible for a bonus plan, role-specific commission or bonus, and annual refresh stock grants.
Company
is a Fortune 500 company and AI platform for managing people, money, and enterprise agents.
What you will do
- Build and enhance Data Cloud within the Data Platform Engineering organization.
- Architect and develop features for distributed ingestion, transaction processing, and query processing engines.
- Develop algorithms and techniques for fast, efficient transactions and queries over large-scale data.
- Design solutions for a multi-tenant cloud environment.
- Collaborate with engineering teams and clearly communicate novel solutions and their value to stakeholders.
Requirements
- 7+ years of experience using Java, Scala, C++, Go, or Rust.
- 3+ years of development experience in relevant areas such as database internals, distributed system applications, JVM performance tuning, or cloud/SaaS services.
- Bachelor’s degree in Computer Science or a relevant field, or a master’s degree in Computer Science or a relevant field.
- Passion for software development and ability to work with well-defined abstractions.
- Interest in learning about and developing data management and distributed data processing systems and algorithms.
- Background in data warehousing, database system internals, and/or distributed systems.
- Expertise in distributed data processing engines or data management systems.
- Strong understanding of SQL.
- Ability to learn and explore new technical areas, languages, and frameworks.
Nice to have
- Experience with one or more of Kubernetes, Apache Spark and Spark SQL internals, Apache Iceberg and zero-copy architectures, Apache Polaris, Trino, MySQL, PostgreSQL, or DuckDB.
Culture & Benefits
- Flexible work combining in-person collaboration with remote work.
- Opportunity to create a flexible schedule aligned with business, team, and personal needs.
- Remote home-office roles may also meet in company offices for important team moments.
- Eligibility for benefits, bonus or commission plans, and annual refresh stock grants may apply.
- Reasonable accommodations are available during the application process.
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