Senior Software Engineer, Data Platform (Streaming)

Details

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.

Responsibilities

• Support and operate our Kafka clusters by integrating services and features as necessary to make it fully self-service and self-managing.
• Become an expert at operating and managing our Databricks clusters, ensuring it as a stable, secure platform for large volume streaming data processing and analysis.
• Build and maintain the infrastructure needed to support a wide range of streaming use cases both within the team and externally.
• Work closely with other teams to evangelize best practices through documentation, tutorials, examples, and complete implementations.

Requirements

• 7+ years of relevant work experience
• Strong Golang, Java or Python backend development skills.
• General experience working with data systems or data pipelines
• Leverage your Cloud (AWS/GCP), Kafka, Spark/Flink expertise to scale our streaming infra & compute to the next 5x level.
• Extensive experience building streaming applications and streaming platforms, both as a client and as an operator.
• Well-versed in industry best practices, and comfortable discussing and communicating architectural designs and patterns as well as implementing them.
• Experience with core AWS services and concepts (S3, IAM, autoscaling groups), or devops experience.
• Hands-on experience building streaming data systems using Spark/Flink on Kafka.
• Hands-on experience building change data capture pipelines using open-source systems such as Debezium and Databricks.
• Hands-on experience standing up, operating, and maintaining Kafka and Spark clusters.

Nice to Haves

• Stateful data processing concepts & hands-on with state store, retry/idempotency logic, distributed counter/aggregator
• Tiered-storage architecture for Kafka
• Open Data Lake standard such as Iceberg or Delta

The annual salary target for this position is $191,100 CAD. Full-time offers also include target bonus, equity, and benefits (including medical, dental, and vision).

Job #: P69440

*Answers to crypto-related questions may be used to evaluate your onchain experience.

Benefits

• Extended Health Care Benefit (coordinates with Provincial Coverage)
• Dental Care
• Vision Care
• Consult+ (Virtual Health Care)
• Life & Accident Insurance
• Disability Coverage
• Employee Stock Purchase Plan (ESPP)
• Wellness Stipend
• Mobile/Internet Reimbursement
• Connections Stipend
• Learning and Development Allowance
• Employee Assistance Program
• Travel Medical Policy - Global Traveler
• Fertility Benefits
• Generous Time off/Leave Policy