Full Stack Java Technical Lead

Role: Full Stack Java Technical Lead - React.js

Remote, Canada

Contract

Exp: 10+ Years

Section Title: Job Summary

Job Summary

Deep expertise in Java (8+), Spring Boot, Microservices & Enterprise Architecture

Strong experience in designing & integrating AI/ML and GenAI solutions into enterprise platforms

Solid foundation in cloud-native architectures (AWS/Azure), Kubernetes, CI/CD

Exposure to Big Data ecosystems (Kafka, Spark, Hadoop, Data Lakes, Streaming architectures)

Ability to design end-to-end scalable data + AI platforms

Proven leadership in mentoring teams and influencing architectural decisions

Experience in BFSI / large enterprise ecosystems is a strong plus

What you’ll do:

Lead AI/ML and GenAI initiatives (NLP, intelligent automation, copilots, RAG-based systems)

Design data-driven architectures leveraging Big Data pipelines & real-time processing

Define reference architectures and governance standards across programs

Collaborate with product, data science, and business stakeholders on high-impact initiatives

Key Responsibilities

Deep expertise in Java (8+), Spring Boot, Microservices & Enterprise Architecture

Strong experience in designing & integrating AI/ML and GenAI solutions into enterprise platforms

Solid foundation in cloud-native architectures (AWS/Azure), Kubernetes, CI/CD

Exposure to Big Data ecosystems (Kafka, Spark, Hadoop, Data Lakes, Streaming architectures)

Ability to design end-to-end scalable data + AI platforms

Proven leadership in mentoring teams and influencing architectural decisions

Experience in BFSI / large enterprise ecosystems is a strong plus

What you’ll do:

Lead AI/ML and GenAI initiatives (NLP, intelligent automation, copilots, RAG-based systems)

Design data-driven architectures leveraging Big Data pipelines & real-time processing

Define reference architectures and governance standards across programs

Collaborate with product, data science, and business stakeholders on high-impact initiatives

Skill Requirements

Deep expertise in Java (8+), Spring Boot, Microservices & Enterprise Architecture

Strong experience in designing & integrating AI/ML and GenAI solutions into enterprise platforms

Solid foundation in cloud-native architectures (AWS/Azure), Kubernetes, CI/CD

Exposure to Big Data ecosystems (Kafka, Spark, Hadoop, Data Lakes, Streaming architectures)

Ability to design end-to-end scalable data + AI platforms

Proven leadership in mentoring teams and influencing architectural decisions

Experience in BFSI / large enterprise ecosystems is a strong plus

Other Requirements

1.Relevant certifications in DevOps, React.js, or full stack development are a plus