Top Engineering Jobs in New York City, NY

The Staff Software Engineer will lead technical direction in programmatic AdTech, integrating AI and data solutions, while mentoring the engineering team.

The Senior Software Engineer will design and develop a CRM platform, collaborate with teams, and ensure quality delivery of marketing technology solutions.

The role involves providing technical leadership, hands-on execution, and cross-team influence in software engineering, focusing on solutions for scaling and performance challenges while using AI tools.

The Lead Software Engineer will design scalable distributed systems on AWS and Kubernetes, mentor engineers, and influence technical direction across teams while ensuring system performance and reliability for marketing intelligence products.

The Principal DevOps Engineer will lead the design and operation of CI/CD pipelines, platform reliability, and compliance for software deployment, while influencing DevOps practices and simplifying operational management across teams.

Design and develop backend services and APIs for identity resolution, optimize event-driven systems, and enhance system reliability. Mentor engineers and influence architectural decisions.

Lead the development of healthcare applications and data systems, focusing on audience intelligence and compliance. Design scalable data pipelines, APIs, and reporting systems while ensuring high data quality and security in regulated environments.

As a Lead Software Engineer, you'll design and develop GenAI platforms, integrate LLMs, mentor engineers, and solve technical challenges for scalable solutions.

The Lead Software QA Engineer will integrate quality into the AI-first engineering workflow, enhancing developer behavior towards reliability and efficiency. Responsibilities include building automated testing systems, defining production standards, collaborating with Sales and Product, and ensuring data integrity and usability.

Drive adoption of AI-native engineering workflows, create technical content, engage with developers, and improve AI-assisted software development practices.