Top Software Engineer Jobs in NYC, NY

As a Principal Software Engineer at Disney, you will design and build the next generation Client Platform for Hulu, focusing on cross-platform performance on various devices. Your role includes defining the roadmap, leading architecture discussions, and collaborating with engineering teams to enhance user experience and device compatibility.

The Systems Engineer II will manage global observability and content delivery infrastructure. Responsibilities include developing automation tooling, managing critical infrastructure platforms, handling Tier 2 escalations, and performing engineering tasks in on-prem and hybrid environments.

The Senior Content Distribution Engineer is responsible for overseeing the operations of Disney's Distribution Mesh, managing incidents, analyzing performance metrics, solving distribution issues, and providing tier-2 support, particularly focusing on caching technology and CDN environments.

The Senior Software Engineer will develop feature-rich native Android applications, manage production issues, and mentor team members. This role focuses on building innovative features for ABC News by fostering collaboration and maintaining high coding standards.

As a Senior Software Engineer on the DEE&T Web Commerce team, you'll build and enhance the core sign-up, purchase, and subscription management experiences for Disney's web platform, collaborating with product and project management, ensuring code quality, and mentoring other developers.

The Manager of Data Science Engineering role involves leading data-driven initiatives within Disney Advertising. Responsibilities include managing a team of Data Scientists, overseeing development projects, consulting on architecture best practices, and implementing technical documentation standards. The role requires a strong technical background in data engineering and experience in digital advertising.

The Sr Manager of Machine Learning Engineering at Disney will lead the Model Engineering team to build and maintain a high-availability ML runtime environment. This role involves providing technical direction, mentoring team members, collaborating with product stakeholders, and fostering a culture of innovation.