Top Cloud Software Engineer Jobs in New York City, NY

The Senior Fullstack Engineer will lead projects, mentor teammates, and contribute to improving the product and infrastructure while collaborating with product teams to enhance customer-facing features.

The Production Engineer will design and maintain support tools, develop AI-driven solutions, and partner with teams to enhance customer experience and operational reliability.

Design and implement large-scale distributed storage solutions for artifact management, optimize performance and assist in API development, working closely with infrastructure teams.

Lead a team of engineers in the SDLC to improve developer experience through tools and processes, overseeing project planning and technical quality.

As a Manager for the AI Evaluation & Annotation team, you will lead a team of 6-8 engineers, define the technical roadmap, and oversee AI model evaluation and annotation processes.

As a Principal Consultant, you will guide customers in deploying Falcon LogScale and Next-Gen SIEM, manage implementations, assist with infrastructure, and help improve security outcomes through analytics and log management.

The Backend Engineer will design and implement scalable services, ensure system reliability, work collaboratively, and manage operational aspects of systems.

Lead technical direction and architecture for developer platforms, integrating AI into SDLC workflows that enhance developer productivity and software quality.

Drive innovative solutions around ServiceNow's data platform, engage customers, design data architecture, and support presales lifecycle effectively.

AI Engineers at Hiya develop and integrate AI solutions, conduct model evaluations, and optimize large language models, collaborating with cross-functional teams.

Manage and enhance the API ecosystem, ensuring integration stability and performance while collaborating with multiple teams and mentoring others.

As a Senior Software Engineer for Quicksilver, you will work on a globally distributed key-value store, improving performance, writing features, supporting the stack, and debugging complex systems.