# Senior Software Engineer II, Decisioning Studio Integrations Team

**Company**: Braze
**Location**: San Francisco
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $156,364 - $279,957/year
**Category**: Engineering
**Industry**: Technology

**Apply**: https://job-boards.greenhouse.io/braze/jobs/8290020?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_7cfb9a15-fff

## Description

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.

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

You should have:

- 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

## Skills

### Required
- Python
- SQL
- cloud infrastructure
- Kubernetes
- event-driven architecture
- reliability patterns
- message brokers

### Nice to have
- BigQuery
- Snowflake
- Redshift
- Adobe
- Salesforce Marketing Cloud
- Klaviyo
- ML systems

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/braze/jobs/8290020?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)