Top Software Engineer Jobs in New York City, NY

Lead technical direction and architecture, mentor engineers, build AI-powered features, and engage with customers to enhance product development.

Design, build, and maintain Soroban smart contracts and backend services integrating Stellar, EVM, and Solana. Scale on-chain infrastructure for high-volume transactions and real-time processing, drive architecture and roadmap, and ship features iteratively.

Design, build, and maintain Solana programs and backend services that integrate with Solana, EVM, and Stellar. Scale on-chain infrastructure for high-volume transactions and data ingestion, drive architecture and product roadmap decisions, and ship secure, reliable capabilities to customers.

The Business Applications Specialist will design, implement, and optimize CRM and automation solutions using Salesforce and GenAI, enhancing workflows and productivity across global teams.

As a Front-End Engineer, you'll design and develop user-friendly interfaces using modern frameworks, improve performance, and collaborate with teams to integrate AI-driven tools.

Lead GenAI/ML initiatives in Datadog's APM team, focusing on designing, training, and deploying models while mentoring engineers and influencing product direction.

Lead the development of iOS apps, mentor engineers, optimize performance, and collaborate on product design for Bevel's growth.

As a Backend Engineer at Bevel, you will develop backend solutions, run experiments, and establish best practices for scalability and data processing.

The iOS Engineer will develop features for Bevel’s iOS and watchOS apps using Swift and collaborate with teams to enhance user experiences and app performance.

The Principal Data Engineer develops and maintains advertising technology, architecting backend services using microservices and cloud technologies, integrating AI capabilities, and guiding the team in best practices.

Collaborate with teams to build features across frontend and backend, focusing on user needs. Embrace ownership and continuous learning.

Design, build, and maintain data processing services focusing on ingestion. Collaborate with teams to provide data insights, ensuring performance and scalability.

Collaborate with business and engineering teams to implement scalable user interfaces, backend services, and risk management systems with a focus on real-time metrics.