Top Tech Jobs & Startup Jobs in NYC, NY

Lead quality engineering across streaming, data, and advertising systems, driving test automation strategy, architecture, and mentorship while ensuring product quality and operational efficiency.

The Lead Software Engineer will design, develop, and support scalable cloud-based messaging and integration platforms, provide technical leadership, and ensure performance and reliability across platforms, primarily using Java, Spring Boot, and AWS services.

Lead and develop quality engineering teams, define strategic roadmaps, oversee automation architecture, and ensure quality governance across products.

The role involves leading technical initiatives in machine learning infrastructure, developing data pipelines, and collaborating across teams to enhance personalized news content delivery.

The Senior Software Engineer will build high-performance backend systems for media playback, lead architecture discussions, mentor engineers, and participate in production support.

The Principal Software Engineer will lead the architectural direction and improvement of metadata management systems for Disney's streaming services, leveraging advanced technologies and best practices in software development.

Lead the development of machine learning algorithms for personalization and recommendations in Disney's streaming products while collaborating with product and engineering teams.

The Software Engineer will develop and optimize high-performance backend systems using Java and other OOP languages, ensuring code quality through testing and reviews. The role involves collaborating on architecture and participating in production support.

The DevOps Engineer will develop and support automation tools for client applications across various Disney streaming services, focusing on CI/CD processes and build systems.

Lead design, build, and operate scalable, low-latency data systems and platform services for real-time personalization and recommendations. Partner with ML, product, and platform teams to deliver feature serving, inference integration, APIs, monitoring, and reliability. Provide architecture leadership, mentor engineers, and establish operational standards for data pipelines and ML workflows.