Senior Software Engineer II, Decisioning Studio Integrations Team

Role details

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization. To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success. Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture. If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you. WHAT YOU'LL DO We're looking for a Senior Software Engineer II to join the Decisioning Studio Integrations team building BrazeAI Decisioning Studio™. Decisioning Studio is a reinforcement learning platform that runs continuous experiments to personalize customer engagement for each individual. Its results depend on the data it learns from and on the channels that carry its decisions to customers. Our team owns both. We ingest enterprise customer data of any schema and at a very large scale from warehouses, engagement platforms and other enterprise systems. We also deliver the recommendations from our RL pipelines across email, SMS, push, in-app and other channels. These are high-impact, customer-facing features. In this role, you will: Lead complex integration projects from design through build and rollout, and set technical direction for the Decisioning Studio integration platform Design and build integrations with cloud data warehouses, customer engagement platforms and other enterprise systems, for both data ingestion and activation orchestration Build ingestion pipelines that handle every way customers send data, including batch pulls, file drops, APIs and streaming, and accept arbitrary schemas without letting bad data reach our models Build event-driven, fault-tolerant activation pipelines that deliver recommendations on schedule, recover cleanly from partial failures and never send twice Design for multi-region deployment and compliance requirements, including data residency and PII handling Own your systems in production. Instrument them with Datadog, take part in the on-call rotation, and take incidents all the way to the root cause Work with data scientists, ML engineers and product managers to turn integration requirements into reusable platform capabilities Mentor engineers and raise the bar for code quality, testing and design review WHO YOU ARE 6+ years of backend engineering experience building and operating distributed systems in production A track record of technical leadership: owning complex projects end to end, making architecture decisions and setting direction for other engineers Experience building data pipelines or integrations that move very large volumes of data between systems, including schema changes, backfills and partial failures A strong grasp of event-driven architecture and reliability patterns: message brokers such as Kafka, idempotency, retries with backoff, dead-letter handling, and at-least-once versus exactly-once tradeoffs Proficiency in Python and SQL Hands-on experience with cloud infrastructure (GCP preferred) and Kubernetes Experience with AI coding assistants, and the judgment to know when they help and when they don't A clear communicator who works well with engineering, data science and product A self-starter who finds problems and works around obstacles without waiting for direction Bonus points: Experience integrating with cloud data warehouses such as BigQuery, Snowflake or Redshift Experience integrating with customer engagement platforms such as Braze, Adobe, Salesforce Marketing Cloud or Klaviyo Experience building multi-region systems under data residency and compliance requirements Experience running ML systems in production For candidates based in the United States, the pay range for this position at the start of employment is expected to be between $156,364 and $279,957/year, with an expected On Target Earnings (OTE) between $172,000 and $306,000/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company. #LI-Hybrid WHAT WE OFFER Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country at here . More details on benefits plans will be provided if you receive an offer of employment. From offering comprehensive benefits to fostering hybrid ways of working, we've got you covered so you can prioritize work-life harmony. Braze offers benefits such as: Competitive compensation that may include equity Retirement and Employee Stock Purchase Plans Flexible paid time off Comprehensive benefit plans covering medical, dental, vision, life, and disability Family services that include fertility benefits and equal paid parental leave Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend A curated in-office employee experience, designed to foster community, team connections, and innovation Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching Employee Resource Groups that provide supportive communities within Braze Collabo