Software Engineer II, Databases

FivetranOakland, CA
13dHybrid

About The Position

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 NoSQL databases: MongoDB, Amazon DynamoDB, Azure Cosmos DB, Amazon DocumentDB, Firebase, Elasticsearch Relational databases: IBM Db2, CockroachDB AWS, GCP, Azure Bazel, Docker, Kubernetes, Github

Requirements

  • 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)

Nice To Haves

  • Experience working with change data capture for MongoDB, Amazon DynamoDB and/or IBM Db2
  • Experience developing data integration tools (ETL or ELT)
  • Experience identifying and optimizing performance bottlenecks in distributed systems

Responsibilities

  • 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
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