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Salary: USD 156,364 - 250,909 / annual
Braze is seeking a Senior Software Engineer II, Full-Stack to join the Cloud Data Ingestion & Transformation (CDIT) team. This team is critical to Braze's growth, owning systems that enable customers to integrate their data with the Braze platform. The CDIT team focuses on two main product areas: Cloud Data Ingestion, which allows customers to leverage data from their cloud warehouse in Braze (processing trillions of data points annually and integrating with growing Braze features), and Data Transformation, a platform for customizing data flow from external sources into Braze.
In this role, you will work on full-stack development with a primary focus on backend systems. You will own features end-to-end, regularly delivering frontend experiences alongside backend work. You will drive architectural decisions, contribute to technical strategy, and have a direct impact on customer success and company growth. The role emphasizes scalability, handling high volumes of data and traffic, and building systems that delight customers through incremental delivery of high-quality software.
You will work in an agile team environment, collaborating with teammates to solve complex technical challenges. The position offers the opportunity to work with modern technologies and contribute to a platform serving enterprise customers globally.
Requirements:
- 6+ years of full-stack development experience with strong focus on building scalable web applications
- Experienced technical leader with track record of driving architectural decisions and contributing to technical strategy
- Strong understanding of design, data structures, and algorithms
- Self-starter with great communication and organizational skills; experience in agile team environments
- Willingness to learn technologies required to deliver customer needs
Bonus qualifications:
- Professional experience building software at scale, handling high volumes of data and traffic
- Experience building automated data pipelines, asynchronous processing, or ETL applications using Kafka, Airflow, Sidekiq, SQS, RabbitMQ
- Professional experience with Python/Django, React, Ruby on Rails, Snowflake, microservice architecture, distributed systems
- Familiarity with modern data warehousing, BI, and analytics
- Experience with agile processes
- Passion for incrementally delivering high-quality software that delights customers
