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# Software Engineer II, User Targeting

- **Company:** Braze
- **Location:** Austin, TX, United States
- **Experience:** Experienced
- **Salary:** $116,000.0 - $195,600.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Automation of Tests, Big Data, Databases, Data Structures, MongoDB, NoSQL, Operational Databases, Ruby on Rails, Ruby, Software Engineering, SQL Databases, TypeScript, Web Applications, ReactJS, Snowflake, Backend, Build Management, Data Lakes, Front End Software Development, Vertica
- **Published:** October 17, 2026
- **Apply:** https://job-boards.greenhouse.io/braze/jobs/8262953

## About the Role

* Software Engineering Experience: 2+ years of professional experience building and shipping web applications, in full-stack development or back-end services
 * Strong Fundamentals: Solid understanding of software design, data structures, and algorithms
 * Databases: Experience with SQL and at least one production database
 * Ownership: Able to take an ambiguous feature request, ask the right questions, and turn it into working, tested code with limited oversight
 * Self-Starter: Great communication and organizational skills, with a history of thriving in team environments

Bonus:

 * Languages/Frameworks: familiarity with Ruby, Ruby on Rails, TypeScript, React, Sidekiq, and SQL/NoSQL databases
 * Database Experience: previous experience with MongoDB, ClickHouse, Snowflake, or other data lake solutions
 * Scale: Experience working on a high-scale, high-throughput system
 * Passionate about customer experience

## Description

You will build and own features in a complex, high-scale segmentation system that underpins our entire product offering. You'll work on new segmentation features, help improve performance and cost, and grow your expertise in large-scale data systems. Your responsibilities will include:

 * Design & Build: design and implement features across our Ruby on Rails backend and React frontend, from design review through production rollout
 * Own Features: take ownership of medium-sized projects. Break down the work, set delivery dates, and hit them
 * Work with Data at Scale: write and tune queries against MongoDB and ClickHouse, and learn how segmentation performance and cost change with data volume
 * Collaborate Cross-Functionally: work closely with product managers, designers, and other engineering teams to clarify requirements and deliver features that meet customer needs
 * Maintain & Evolve: write thorough automated tests, review teammates' code, and take part in the on-call rotation to keep our systems stable and high-quality

The team extensively integrates AI into its daily workflow, leveraging agentic tools to navigate our large Ruby monolith, create proof of concepts, and transition quickly and safely from an ask to a working solution. AI has been used across all stages of product delivery, fundamentally enhancing the team's ability to deliver high-quality results more efficiently.