7 api and microservices developer jobs at 7 companies in New York City, NY
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Lead Engineer - Product and Platform Engineering
Jersey City, New Jersey, United States
OnsiteFull Time
Altimetrik: Provides digital business enablement and platform engineering services for enterprises.
7+ YOERequires 7–10 years of Java backend experience, Java, Spring Boot, microservices, databases, REST APIs, ORM, testing, and build automation. Requires a computer science or software engineering bachelor's degree.
Royal Bank of CanadaTSX: RY: Provides personal, commercial, and investment banking services worldwide.
10+ YOE3+ MgmtRequires 10+ years of full-stack development, 5+ years of AI/ML engineering, and 3+ years of leadership or senior technical experience. Requires programming, AI architecture, cloud, governance, and team leadership expertise.
MetLifeNYSE: MET: Global provider of insurance, annuities, and financial services.
10+ YOEBachelor’s degree in computer science or equivalent, 10+ years of full-stack engineering experience, and expertise in React, APIs, cloud platforms, microservices, CI/CD, containerization, infrastructure-as-code, and AI-assisted development.
AI Agentic Development & Implementation, Global Services - Director
New York City, New York, United States
$170k-$300k/yrHybridFull Time
CitiNYSE: C: Providing global banking, investment, and wealth management services.
10+ YOERequires 10+ years in product management, platform strategy, or enterprise technology leadership; experience delivering scalable AI solutions and knowledge of agentic AI, platforms, architecture, governance, and regulated environments.
APIs, cloud-native architectures, microservices, event-driven systems, retrieval-augmented generation (RAG), MCPs, large language models, small language models, prompt engineering
AI Agentic Development & Implementation, Global Services - Director
New York City, New York, United States
$170k-$300k/yrHybridFull Time
CitiNYSE: C: Global diversified financial services holding.
10+ YOERequires 10+ years in product management, platform strategy, or enterprise technology leadership; enterprise AI delivery; agentic AI, platform architecture, regulated-environment, stakeholder, and cross-functional leadership experience.
AI, GenAI, Agentic AI, retrieval-augmented generation (RAG), MCPs, APIs, cloud-native architectures, microservices, event-driven systems, large language models, small language models