The opportunity
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.
What you'll do
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
What they're looking for
- + 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
