Top Remote Security Software Engineer Jobs in New York City, NY

As a GTM AI Engineer, you will design AI systems to enhance GTM activities, develop scalable AI applications, and manage data infrastructures. Collaborate with teams to automate processes and optimize AI systems for improved performance.

Work as a Senior Software Engineer on the Cloud Team, developing secure software solutions and collaborating on product lifecycle stages.

Design and develop an enterprise-grade proxy solution using Rust, focusing on performance optimization, feature development, and collaboration with cross-functional teams.

Design and develop high-performance services and APIs, focusing on cloud-based applications using Golang and Python, while ensuring code quality and security.

Design and build distributed systems for authentication and fraud detection, ensuring reliability and performance. Manage model lifecycle and enhance operational efficiency through observability and incident response leadership.

Lead the design and development of software solutions while mentoring junior developers, collaborating with stakeholders, and ensuring code quality.

The Full Stack Developer will design and maintain application components, support integrations, and provide Tier 2/3 operational support in a DoD environment, using Java, JavaScript, SQL, and cloud technologies.

The Documentation Specialist will gather and analyze technical information, conduct research, and translate this information into clear documents for various audiences.

The Software Engineer will develop Python scripts for device testing and validation, ensuring production quality and reliability while automating factory processes.

Develop and maintain scalable web applications using TypeScript, collaborate on serverless architectures, and ensure high-quality user experiences through testing and teamwork.

The Senior Software Engineer will design and develop web applications, enhance existing features, optimize functionality, and troubleshoot complex problems while collaborating with teams.

Responsible for leading a team of engineers to develop distributed certificate workflow systems, ensuring system design excellence, and mentoring talent. Collaborate with cross-functional teams on project roadmaps and drive AI automation solutions.

The Engineering VP will lead product engineering, scaling teams for new tech products, embedding AI principles, and ensuring delivery excellence. They will manage budgets, oversee talent strategy, and drive cross-functional partnerships.