Top Engineering Jobs

Lead the architectural evolution of a large-scale recommendations platform into a distributed architecture. Design, build, operate, and optimize fault-tolerant backend services supporting AI-driven personalization. Collaborate with machine learning engineers and product stakeholders, own systems through deployment and incident response, champion engineering practices, and mentor team members.

Lead and grow a founding engineering team building an AI orchestration platform for real-time, high-volume messaging decisions. Define architecture, guide distributed systems development, drive initiatives from prototype to production, and partner with product, machine learning, data platform, and engineering teams. Ensure reliability through observability, incident response, testing, CI/CD, and on-call practices while remaining hands-on with system design and implementation.

Build and own scalable backend systems for campaign creation, content assembly, audience targeting, scheduling, and delivery across multiple channels. Design fault-tolerant distributed services, ensure reliability through observability and alerting, and deliver features from architecture through production support. Collaborate cross-functionally, mentor junior engineers, and promote testing, code quality, and engineering best practices.

Build and operate scalable backend services that detect customer behavioral patterns, correlate event signals, maintain stateful evaluation windows, and determine marketing trigger eligibility. Responsibilities include designing distributed event-driven systems, delivering features from design through production support, creating reusable rule-based frameworks, integrating with campaign and messaging platforms, and maintaining reliability through observability, monitoring, alerting, and incident response.

Design and build scalable data systems and pipelines, migrate legacy systems, ensure data governance, and collaborate with cross-functional teams to enhance data accessibility and reliability.

Design and implement distributed software systems to handle data at scale. Perform code reviews and collaborate with teams. Monitor and manage business-critical services.

Design, build, and operate a unified data platform: ingesting, processing, and exposing large volumes of data. Develop scalable ingestion pipelines, storage layers, observability, SLIs/SLOs, multi-tenant models, and metadata/ governance to enable secure cross-product data access and migrations from legacy systems.

Deliver and maintain scalable, reliable full-stack solutions across front-end WYSIWYG designer experiences and back-end rendering systems. Write well-tested, reusable code, refactor to reduce technical debt, build tooling and processes, conduct empathetic code reviews, collaborate with stakeholders, mentor teammates, and drive projects from design through rollout.