Full Stack Java Technical Lead

2.Role: Full Stack Java Technical Specialist - React.js

Full Time Positions

Mississauga or Toronto ON - Hybrid

Section Title: Job Summary

Job Summary

Deep expertise in Java (14+), 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:Architect scalable, secure, and resilient enterprise systems

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

LONGDESCRIPTION section. 2 of 6.

Section Title: Key Responsibilities

Key Responsibilities

Deep expertise in Java (14+), 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:Architect scalable, secure, and resilient enterprise systems

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

LONGDESCRIPTION section. 3 of 6.

Section Title: Skill Requirements

Skill Requirements

Deep expertise in Java (14+), 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

SKILL section. 4 of 6.

Section Title: Must Have Skills

Must Have Skills

• Click Enter to show the proficiency description of React.jsReact.js
• Click Enter to show the proficiency description of Java Full StackJava Full Stack
• Click Enter to show the proficiency description of DevopsDevops

SKILL section. 5 of 6.

Section Title: Good to have Skills

Good to have Skills

LONGDESCRIPTION section. 6 of 6.

Section Title: Other Requirements

Other Requirements

1.Relevant certifications in DevOps, React.js, or Java technologies are a plus.