Senior Software Engineer II

Responsibilities

Lead complex integration projects from design through build and rollout while setting technical direction for the integration platform. Design and build integrations with cloud data warehouses, customer engagement platforms, and enterprise systems for data ingestion and activation orchestration. Build high-volume ingestion pipelines supporting batch pulls, file drops, APIs, streaming, arbitrary schemas, schema changes, and backfills. Build event-driven, fault-tolerant activation pipelines with reliable scheduling, recovery from partial failures, and duplicate prevention. Design multi-region systems addressing data residency, compliance, and PII handling requirements. Own production systems through instrumentation, on-call participation, incident response, and root-cause analysis. Collaborate with data scientists, ML engineers, and product managers to create reusable platform capabilities. Mentor engineers and improve code quality, testing, and design review standards.

Requirements

6+ years of backend engineering experience building and operating distributed systems in production. Demonstrated technical leadership through end-to-end project ownership, architecture decisions, and technical direction. Experience building large-scale data pipelines or integrations, including schema changes, backfills, and partial failures. Strong understanding of event-driven architecture, message brokers, 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, preferably GCP, and Kubernetes. Experience with AI coding assistants and judgment about when to use them. Clear communication and effective collaboration with engineering, data science, and product teams. Experience integrating cloud data warehouses such as BigQuery, Snowflake, or Redshift is a bonus. Experience integrating customer engagement platforms such as Braze, Adobe, Salesforce Marketing Cloud, or Klaviyo is a bonus. Experience with multi-region systems under data residency and compliance requirements is a bonus. Experience running ML systems in production is a bonus.

Benefits

Base compensation for U.S. candidates is listed at $156,364-$279,957 per year, with potential equity and bonus or commission-based OTE; compensation figures are excluded from benefit details. Benefits may include retirement and Employee Stock Purchase Plans, flexible paid time off, medical, dental, vision, life, and disability coverage, fertility benefits, equal paid parental leave, professional development, a yearly learning stipend, employee resource groups, and community volunteer and donation-matching programs. The role uses a hybrid work arrangement with a curated in-office employee experience. Braze provides location-dependent benefits and a collaborative culture recognized as a Great Place to Work.