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
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.
Java, Java J2EE, Spring, Spring Boot, ORM, MySQL, Oracle Database, REST API, Microservices, JUnit, Maven, Gradle, JDBC
3w
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Lead Software Engineer - Java and Python
Jersey City, New Jersey, United States
$152k-$215k/yr OnsiteFull Time
JPMorgan Chase
JPMorgan ChaseNYSE: JPM: Global financial services firm providing banking and investment solutions.
5+ YOE5+ years software engineering experience; strong backend skills with Java, Springboot, Python; cloud (AWS/Azure); SQL/NoSQL; SDLC/CI/CD; experience with microservices, RESTful APIs, WebSockets, JSON; proven leadership and AI-assisted development practices.
Java, Springboot, Python, AWS, Azure, RESTful APIs, WebSockets, JSON, SQL, NoSQL, CI/CD
1mo
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Consulting - Tech Consulting - FinTech - FSO, Blockchain and AI Engineering - Senior
New York, New York, United States
$123k-$213k/yr HybridFull Time
EY
EY: Global firm providing audit, tax, and professional consulting services.
3+ YOEBachelor's required; 3+ years professional engineering experience; full‑stack JavaScript (Node.js, React, Express), REST/GraphQL APIs, cloud native/microservices, Agile; willingness to travel; blockchain experience preferred.
Node.js, React, Express, GraphQL, Ethereum, Quorum, Solidity, Docker, Kubernetes, Terraform, Ansible, SAP
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Director, AI Engineering & Full-Stack Development
Jersey City, New Jersey, United States
$160k-$250k/yr OnsiteFull Time
Royal Bank of Canada
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.
.NET Framework, Python, MCP (Model Context Protocol), LLMs, machine learning frameworks, API, microservices, cloud-native development, design patterns, testing frameworks, deployment pipelines, DevOps, Agile, Scrum
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Principal Platform & AI Engineering Lead
Cary or Bridgewater
$140k-$180k/yr HybridFull Time
MetLife
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.
React, REST, GraphQL, CI/CD, Copilot, GenAI, GitHub Enterprise, Azure, Kubernetes
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AI Agentic Development & Implementation, Global Services - Director
New York City, New York, United States
$170k-$300k/yr HybridFull Time
Citi
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
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AI Agentic Development & Implementation, Global Services - Director
New York City, New York, United States
$170k-$300k/yr HybridFull Time
Citi
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