Senior Java Full Stack Developer (Lead)

Location: New York, NY Work Mode: Onsite Experience: 12 Years Job Summary We are seeking a hands-on Senior Java Full Stack Developer / Lead with strong expertise in building and scaling API-first, cloud-native platforms. The ideal candidate will have extensive experience in Java, Spring Boot, microservices, API integration, AWS, and modern front-end technologies, along with exposure to AI-assisted and AI-first development approaches. The candidate will design and deliver secure, scalable, event-driven applications while collaborating with cross-functional teams to solve complex business problems.

Key Responsibilities: Design, develop, and scale cloud-native applications using Java, Spring Boot, and microservices. Build REST APIs and enterprise integrations using API-first architecture and asynchronous messaging. Develop end-to-end solutions using React, TypeScript, JavaScript, and Java/Spring Boot. Design and implement event-driven microservices using AWS services such as SNS, SQS, and Kafka. Integrate AI capabilities, including Agentic AI, LLMs/SLMs, MCP, RAG, and agent orchestration frameworks. Establish CI/CD pipelines, automated testing, performance testing, and production monitoring. Deploy and manage scalable applications using Docker, Kubernetes, AWS ECS/EKS, and serverless technologies. Implement security best practices across APIs, cloud infrastructure, and application services. Collaborate with product, design, data, architecture, and risk teams. Mentor developers and promote engineering best practices. Required

Skills & Qualifications: 12 years of professional software engineering experience. Strong expertise in Java 11/17/21, Spring Boot, REST APIs, JSON, and OpenAPI. Extensive experience with microservices, API integration, and asynchronous messaging using Kafka, SNS, or SQS. Strong front-end development experience with React, TypeScript, and JavaScript. 3 years of experience architecting cloud-native services on AWS. Experience with API versioning, backward compatibility, schema evolution, and contract testing. Hands-on experience with Docker, Kubernetes, ECS/EKS, and serverless computing. Proficiency in CI/CD tools such as Jenkins and Spinnaker. Experience with automated testing, load testing, and performance optimization. Strong SQL skills with PostgreSQL, MySQL, or Aurora, and NoSQL databases such as DynamoDB or DocumentDB. Experience with Redis caching, Terraform/Cloud Formation, and infrastructure as code. Knowledge of monitoring and observability tools such as Splunk, Dynatrace, Grafana, and CloudWatch. Understanding of AWS security services, IAM, KMS, Secrets Manager, WAF, and application security. Excellent communication, stakeholder management, and mentoring skills. AI & Emerging Technology Skills Experience integrating Agentic AI, LLMs/SLMs, MCP, RAG, and AI orchestration frameworks. Exposure to AI-assisted development tools such as GitHub Copilot and Claude. Prompt engineering and AI-driven application development experience. Python experience for LLM engineering, automation, and data processing is a plus.

Preferred: SkillsExperience with micro frontends, WebSockets, Node.js, and service workers. Knowledge of CEN/XFS APIs. Experience with OpenTelemetry and Datadog. Commercial banking domain knowledge is a plus. Familiarity with Agile methodologies and modern DevOps practices. Top 3 Required Skill Areas Full Stack Java Development: Java, Spring Boot, microservices, REST APIs, API integration, Kafka, ReactJS, TypeScript, JavaScript, WebSockets, and Node.js. Cloud & DevOps Engineering: AWS, CI/CD, Docker, Kubernetes, Terraform, service workers, and Agile methodologies. Monitoring & Observability: Grafana, Splunk, Dynatrace, CloudWatch, and OpenTelemetry.