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Senior Software Engineer II, Decisioning Studio Integrations Team

Braze · New York City

Posted by Braze on their careers site · View the original posting

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Mid level

Open 19 days

The posting, as Braze wrote it

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

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ecisions and are involved throughout the process.

Depending on where you are located, you may have certain rights available to you in relation to Braze’s use of AI:

  • To opt out of AI-assisted review of your application, please click the “Learn More” at the end of the application form below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application.
  • To exercise other types of rights, such as rights to request further information about how AI is used in our recruitment process, to request a retroactive manual review of any decision made or to contest a decision, please contact us at talentdata.privacy@braze.com .

Please contact us at talentdata.privacy@braze.com with any questions. To find out more about our hiring process, check out this page .

Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)

Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review.

To opt out of AI-assisted review of your application, please click the “Learn More” button below and follow the instructions before submitting your application. Please note, if you apply to multiple roles at Braze, you will need to opt out in relation to each application. Please submit any other request to our Talent Acquisition team at talentdata.privacy@braze.com promptly after applying. Summaries of the most recent bias audit results for such tools are available here .

Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.