Top Engineering Jobs in NYC, NY

Manage and mentor engineers, collaborate on strategic roadmaps, solve complex technical issues, and contribute to code and design decisions.

As a Senior Services Consultant, you will lead Celonis implementations, design data transformations, enhance customer processes, and drive digital transformation through data-driven insights and process automation.

Manage and lead the Cloud SIEM Security Data Enrichment team, ensuring high-quality software delivery and collaboration with product teams while staying hands-on with technology.

Lead a diverse technology team to deliver backend solutions using cloud technologies and manage complex projects while mentoring developers.

Lead a team of engineers to develop industry-leading APM SDKs, ensuring quality and user experience while fostering a high-performing team environment.

As a Data Scientist, you will partner with teams to build machine learning models and deliver AI solutions leveraging large datasets and various technologies.

Lead multiple teams in software engineering, focusing on cloud data platforms and automation. Collaborate across teams to implement applications and ensure data integrity while managing high-stakes projects.

The Manager, Business Intelligence Engineering will lead a team to develop data analytics capabilities, collaborate with internal partners, create dashboards, and generate insights for business improvement.

Lead and build teams of engineers for Charlotte AI, focusing on AI/ML engineering, team wellbeing, recruitment, and collaboration with product managers to deliver user-focused security solutions.

Manage and mentor a team of engineers, optimize auction dynamics, collaborate across teams to translate business needs into algorithmic requirements, and evaluate technical tradeoffs.

As an Engineering Manager, you will mentor engineers, enhance the Broker Platform, and collaborate on product integration with modern technologies.

An Engineering Manager will lead a team building a managed global message queue service, fostering innovation and technical solutions while ensuring team growth and adherence to goals.

Manage the Ingestion Foundations team to optimize product data processing. Mentor engineers, shape processes, and collaborate with product teams for goals.

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

As Engineering Team Lead, you will oversee IOI/AXE infrastructure design and development, ensuring high-performance trading systems and collaboration across global teams while modernizing technology stacks.

Manage software engineering teams, deliver critical projects in a microservices environment, collaborate on technical discussions, and foster continuous improvement.

Lead the backend engineering team, manage projects, improve architecture, and deliver data-intensive applications in a fintech environment.

Looking for an iOS Engineering Manager to lead a team of iOS engineers, ensuring high-quality feature delivery, technical excellence, and team development.

The Director of Engineering will lead teams to develop CoreWeave's public API platform, focusing on reliability, security, and operational excellence while mentoring staff and aligning technical strategy with business needs.

Lead the Engineering Operations function, improve productivity, reduce operational friction, and optimize decision-making while overseeing a high-impact team.

The role involves designing and developing web applications, leading software design and architecture efforts, collaborating across teams, and ensuring high-quality software delivery.

Lead a machine learning engineering team to develop ranking models. Manage project design, code reviews, collaborate with stakeholders, and ensure product scalability and quality.

The Director of Engineering for Data Platform will strategize, execute, and ensure reliability of the company's data platform, while leading engineering teams and implementing AI-driven solutions.

The Manager of Software Engineering, Data Exchange will oversee data exchange infrastructure, manage a team of engineers, and lead integration efforts.

The Data Scientist collaborates with leaders to develop predictive models, apply machine learning techniques, and provide insights for decision-making.