Top Engineering Jobs in San Francisco, CA

Build and extend Braze’s Core Objects systems, including high-scale data ingestion pipelines and complex backend services. Improve system performance and cost efficiency while developing new data capabilities and product features. The role involves full-stack development, technical leadership, collaboration in an agile environment, and use of AI-assisted tools to navigate and enhance a large Ruby monolith.

Lead the Messaging Experience engineering team, owning its technical direction, processes, hiring, talent development, and multi-year roadmap. Partner with Product and Design to improve Canvas and Campaign experiences, front-end quality, usability, consistency, and delivery speed. Guide architecture and iterative product development for large customer-facing web applications while managing multi-team and multi-quarter initiatives.

Build and evolve Braze’s Canvas messaging orchestration platform across backend systems and customer-facing interfaces. Provide technical leadership across teams, drive architecture and complex projects, mentor engineers, improve reliability and observability, and deliver foundational frameworks and code. Collaborate with engineering leadership to support scalable messaging channels, real-time and batch processing, automated customer journeys, developer tooling, and enterprise-scale product growth.

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 architecture and development of high-scale segmentation systems, data pipelines, APIs, and dashboard experiences. Own backend systems end to end, improve performance and reliability, influence product direction, mentor engineers, and drive operational excellence. Work with massive data volumes and complex real-time workloads while collaborating across engineering, product, and stakeholder teams.

Build, maintain, and evolve Currents, a Kafka-based data export and streaming system processing tens of billions of messages daily. Lead software projects from concept through production, improve high-scale distributed systems, collaborate across teams, and mentor engineers. The role requires full-stack development, experience with foundational systems, Kafka or comparable technologies, and distributed systems or microservices expertise.

Build and maintain high-scale email delivery infrastructure, personalized messaging systems, subscription REST APIs, preference-management web pages, and customer email-domain dashboards. Develop new features, improve performance and resilience, and contribute to architectural decisions for systems delivering billions of emails monthly. Provide technical guidance, collaborate with teammates, and solve complex engineering challenges involving scalability and reliability.

Lead the Landing Pages engineering team, overseeing product vision, architecture, development, and scalable web experiences. Collaborate with product and design to prioritize capabilities, validate adoption using usage data, and expand customer use cases. Recruit, coach, and retain engineers while guiding technical decisions and contributing code when appropriate. Own team goals, processes, and engineering quality in a high-growth environment.