Senior Java Architect: Cloud-Native Microservices Lead

Machine Learning Technologies, LLC; New York (NY); On-site; USD 150,000 - 230,000; Full time

Job summary

Machine Learning Technologies, LLC in New York is seeking an experienced Enterprise Java Architect to define and drive the application architecture for large-scale enterprise solutions. You will design scalable microservices and API-driven systems using Java and Spring Boot.

You will establish architecture standards, lead code and design reviews, and mentor development teams through the SDLC. The role involves working with Kafka, AWS/Azure, Docker, Kubernetes, and implementing end-to-end CI/CD

Responsibilities

• Define and drive application architecture and technical design for enterprise Java solutions.
• Design scalable microservices and API-driven architectures using Java and Spring Boot.
• Establish architecture standards, design patterns, coding standards, and engineering best practices.
• Provide hands-on technical leadership, architecture reviews, code reviews, and troubleshooting support.
• Design and optimize REST APIs, event-driven services, and distributed systems.
• Work with Kafka or similar messaging platforms for asynchronous/event-driven architectures.
• Architect solutions for AWS/Azure environments, including containerized deployments using Docker and Kubernetes.
• Drive CI/CD, DevSecOps, observability, resiliency, performance, and application security practices.
• Collaborate with business stakeholders, product teams, engineering teams, security, infrastructure, and other architects.
• Evaluate existing/legacy applications and define modernization and cloud migration strategies.
• Mentor developers and provide technical direction throughout the SDLC.

Job description

Machine Learning Technologies, LLC in New York is seeking an experienced Enterprise Java Architect to define and drive the application architecture for large-scale enterprise solutions. You will design scalable microservices and API-driven systems using Java and Spring Boot.

You will establish architecture standards, lead code and design reviews, and mentor development teams through the SDLC. The role involves working with Kafka, AWS/Azure, Docker, Kubernetes, and implementing end-to-end CI/CD