Fivetran-posted 6 days ago
Full-time • Mid Level
Hybrid • Oakland, CA
1,001-5,000 employees

Fivetran is building data pipelines to power the modern data stack for thousands of companies. We’re seeking an enthusiastic Software Engineer to join our fast-growing data company. As a part of the databases team, you will help drive performance improvements, improve reliability/architecture and build new features for our NoSQL data pipeline services. This is a full-time, hybrid position based out of Fivetran's Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team Technologies You’ll Use Java MongoDB, Amazon DynamoDB, Azure Cosmos DB AWS, GCP, Azure Bazel, Docker, Kubernetes, Github

  • Write and deliver code reliably, along with automated tests (unit and integration)
  • Optimize code to make it more performant
  • Break down project work into tasks with estimates
  • Give and receive feedback through code reviews
  • Collaborate daily with team members to develop new features and improvements while minimizing technical debt
  • Resolve customer issues in collaboration with customer support
  • Work across the software development lifecycle: requirements, design, prototype, implementation, review, release, and monitoring
  • Use AI coding agents to automatically generate code for use cases such as incident resolution, feature development, testing, and investigations
  • Expertise in Java development
  • Experience developing reliable software with high-volume data management under strict SLAs
  • Experience working with popular cloud platforms (e.g. AWS, GCP, Azure)
  • Experience using AI coding agents for development
  • Knowledge of popular NoSQL databases (e.g. MongoDB, Amazon DynamoDB)
  • Knowledge of and appreciation for clean code practices
  • Ability to troubleshoot problematic code and identify root cause(s)
  • Experience working with MongoDB and/or Amazon DynamoDB change data capture
  • Experience developing data integration tools (ETL or ELT)
  • Experience identifying and optimizing performance bottlenecks in distributed systems
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