Top Engineering Jobs in New York City, NY

Lead enterprise GCP architecture and modernization, establish engineering standards, mentor teams, drive migrations, implement IaC and CI/CD automation, ensure security and compliance, optimize GCP services and observability, and partner across product and business stakeholders to deliver scalable, reliable cloud solutions.

Lead and execute workplace technology strategies, oversee service delivery, mentor teams, and ensure operational excellence while fostering collaboration and innovation.

As a Senior Associate Data Engineer, you will build and maintain data pipelines, support analytics initiatives, and uphold data standards while collaborating with teams on data strategy and governance.

Lead design, development, and deployment of scalable Salesforce solutions (Apex, LWC, Flow); design event-driven architectures and integrations with AWS and MuleSoft; build responsive UIs from Figma using LWC/React; establish CI/CD and DevOps practices; drive code quality, performance optimization, and platform governance across multi-org enterprise environments.

The VP is accountable for strategy, delivery, and performance of corporate functions technology, managing a large application portfolio and leading a team of 100. Responsibilities include stakeholder engagement, technology portfolio management, and driving digital innovation.

The Head of Enterprise Architecture leads technology strategies and solutions, promotes emerging technologies, and fosters collaboration between business and IT teams to enhance client experiences.

Design, develop, and enhance secure, scalable software applications using modern programming languages and cloud-native technologies. Collaborate with product, design, and engineering across the SDLC, apply Agile and DevOps practices, and leverage automation and AI-driven tools to improve productivity and code quality.

Build, automate, and support cloud infrastructure for enterprise applications. Develop infrastructure-as-code solutions, standardized platform patterns, and self-service capabilities. Use AWS, containerization, observability, and automation tools to improve reliability, scalability, deployments, and developer experience while collaborating with engineering and platform teams.