Top Engineering Jobs

Lead the design, development, and operation of Decisioning Studio integrations and distributed data pipelines. Build high-volume ingestion and event-driven activation systems across warehouses, APIs, file drops, and streaming sources. Ensure reliability, idempotency, multi-region compliance, data residency, and PII protection. Own production systems, including monitoring and on-call support, while collaborating with data science and product teams and mentoring engineers.

Leads the design, development, and rollout of integrations and data pipelines for BrazeAI Decisioning Studio. Builds fault-tolerant, event-driven ingestion and activation systems across warehouses, APIs, file drops, and streaming sources. Owns production reliability, observability, incident resolution, multi-region compliance, and data residency. Partners with data science and product teams, mentors engineers, and establishes technical direction and engineering standards.

Lead the design, development, and rollout of large-scale integrations for BrazeAI Decisioning Studio. Build resilient data ingestion and event-driven activation pipelines across enterprise systems, supporting arbitrary schemas, multi-region deployment, compliance, and high-volume customer data. Own production systems, observability, incident response, and reliability. Partner with data scientists, ML engineers, and product managers, while mentoring engineers and setting technical direction.

Lead the design, development, rollout, and operation of Decisioning Studio integrations and distributed data pipelines. Build fault-tolerant ingestion and activation systems supporting batch, files, APIs, streaming, arbitrary schemas, multi-region deployment, compliance, and high-volume enterprise data. Own production reliability, observability, incident response, architecture decisions, and technical direction while collaborating with data science and product teams and mentoring engineers.

Lead the design, development, and operation of Decisioning Studio integrations and distributed data and activation pipelines. Build fault-tolerant, event-driven systems handling large-scale ingestion, arbitrary schemas, multi-region deployment, data residency, and PII. Own production reliability, observability, incident resolution, and technical direction while collaborating with data science, ML, and product teams. Mentor engineers and improve engineering quality, testing, and architecture.

Software Engineering Interns collaborate with engineers and mentors to build production-oriented product features across APIs, web design, systems engineering, and data infrastructure. Responsibilities include contributing to individual and group projects, coordinating with stakeholders, using varied technologies, and applying AI tools to accelerate learning and development. Candidates must be pursuing a Computer Science or equivalent degree, have one or fewer academic years remaining, commit to a 10-week summer internship, and work in person in New York City.

Build and own features for Braze’s high-scale user segmentation system. Develop Ruby on Rails backend and React frontend functionality, optimize MongoDB and ClickHouse queries, write automated tests, review code, collaborate cross-functionally, and participate in on-call support. The role requires ownership of medium-sized projects and work on complex, high-throughput data systems.

Build and own features for Braze’s high-scale user segmentation system across Ruby on Rails and React. Responsibilities include designing features, managing medium-sized projects, tuning MongoDB and ClickHouse queries, collaborating with product and design teams, writing automated tests, reviewing code, and participating in on-call support. The role requires strong software engineering fundamentals, database experience, ownership, communication, and the ability to deliver reliable web applications with limited oversight.

Build and own features for Braze’s high-scale user segmentation platform using Ruby on Rails and React. Develop new segmentation capabilities, optimize MongoDB and ClickHouse queries, and work with large-scale data systems. Responsibilities include project ownership, cross-functional collaboration, automated testing, code reviews, production rollouts, and on-call support. The role requires strong software engineering fundamentals, database experience, autonomy, and effective communication.

Build and own features for Braze’s high-scale user segmentation system. Develop Ruby on Rails backend and React frontend functionality, optimize MongoDB and ClickHouse queries, and work with large-scale data. Own medium-sized projects from requirements through production, collaborate with product and design teams, write automated tests, review code, and participate in on-call support. The role requires strong software fundamentals, database experience, ownership, and effective communication.