Top Software Engineer Jobs in New York City, NY

The Research Scientist will push forward the fields of AI and biology, contribute to the company's research roadmap, and lead projects in foundation models. Responsibilities include collaboration with partners, implementing software for research, and engaging in the scientific community through publications and open source releases.

The Solutions Consultant will design innovative solutions for financial institutions, working closely with Sales to identify client needs and ensure successful implementation. Key responsibilities include preparing custom solution presentations, managing RFP processes, leading POC deliveries, and maintaining relationships with clients to enhance customer success.

The Network Engineer Capacity Planner will drive the planning and delivery of capacity within the network and data center locations. Responsibilities include managing complex infrastructure projects, preventing congestion, and ensuring network capacity meets requirements.

The Senior Full-Stack Developer will design, develop, and own customer-facing products while mentoring the engineering team. This role involves building a cloud-native application with modern microservices architecture, defining roadmaps with product teams, and ensuring code quality and performance. Experience in large-scale web application development is essential.

As a Senior Backend Software Engineer at City Storage Systems, you'll develop innovative features for food creation and delivery systems, ensuring efficiency and reliability in software applications. You'll contribute to cross-functional projects, resolve production issues, and enhance the product using agile methodologies.

As a Senior Backend Software Engineer, you'll work on developing innovative features and experiences for food creation and delivery facilities. This role requires collaboration across teams to ensure reliable software delivery while leveraging technologies such as Java and Go. You'll own features, resolve production issues, and participate in the full lifecycle of application development.

The Head of Data & Analytics will own the data stack, drive insights, and partner with product, engineering, and operations teams. Responsibilities include developing analytics capabilities, building dashboards, owning the data science roadmap, and ensuring data-driven decision-making across the organization.