Lead Full Stack Developer

UniSysTech Consulting; Canada; On-site; CAD 140,000 - 190,000; Full time

Job summary

UniSysTech Consulting is seeking a Lead Full Stack Developer to guide the engineering and architectural direction of our next‑generation digital banking platforms. You will combine hands-on Angular/Node.js development with AWS serverless architecture and AI capabilities to deliver secure, resilient enterprise applications.

You will lead a squad of engineers, delivering modern web applications and intelligent features using AWS Bedrock, SageMaker, or other LLM APIs, while ensuring compliance with

Qualifications

• 6+ years of software development experience, with 2–3 years in a technical lead role.
• Experience integrating Generative AI/LLMs into web applications (AWS Bedrock, OpenAI/Azure OpenAI, LangChain, LlamaIndex, or RAG).
• Frontend expertise with Angular (v12+), TypeScript, RxJS, and modern state management.
• Backend expertise with Node.js microservices and RESTful/GraphQL APIs.
• AWS & serverless: Lambda, API Gateway, DynamoDB, S3, IAM, serverless patterns.
• DevOps & IaC: GitHub Actions, Jenkins; AWS CDK, Terraform.
• Strong communication to explain complex concepts to non-technical stakeholders.

Responsibilities

• Provide technical direction, architectural oversight, and code reviews for the team.
• Lead full stack and AI delivery using Angular, Node.js, and serverless architectures.
• Drive cloud architecture with event-driven patterns on AWS (Lambda, API Gateway, DynamoDB).
• Ensure security, privacy, and governance in line with enterprise banking regulations.
• Establish and refine CI/CD and MLOps/LLMOps pipelines with IaC (Terraform, AWS CDK).
• Collaborate with Data Science, Product Owners, Solutions Architects, and Cyber Security.

Skills

Leadership

AI integration

Angular

Node.js

CI/CD

Communication

Tools

AWS Lambda

API Gateway

DynamoDB

S3

Terraform

AWS CDK

Bedrock

SageMaker

LangChain

LlamaIndex

Job description

We are seeking an innovative Lead Full Stack Developer (Angular, Node.js & AWS) to drive the engineering and architectural direction of our next-generation digital banking platforms. In this role, you will lead a high-performing squad of software engineers to design, build, and deploy secure, resilient, and intelligent enterprise applications.

About the Role

You will combine hands-on full stack development using Angular and Node.js with modern AWS Serverless architecture (Lambda) while integrating AI capabilities (LLM orchestrations, RAG pipelines, predictive models) directly into consumer-facing and back-office banking workflows.

Responsibilities

• Engineering & AI Leadership: Provide technical direction, architectural oversight, and code reviews for a multi-disciplinary team. Mentor engineers on cloud patterns and modern AI development best practices.
• Full stack & AI Delivery: Build modern web applications using Angular, Node.js microservices, and serverless architectures. Implement intelligent features using AWS Bedrock, Amazon SageMaker, or enterprise LLM APIs.
• Cloud Architecture: Drive adoption of event-driven and serverless patterns on AWS, heavily utilizing AWS Lambda, API Gateway, DynamoDB, SQS/SNS, and AWS Bedrock.
• Enterprise Security & Responsible AI: Ensure solutions strictly comply with Canadian banking regulations (OSFI standards), enterprise security, data privacy, and ethical/responsible AI governance frameworks.
• CI/CD & MLOps/LLMOps: Establish and refine CI/CD automated deployment pipelines using Infrastructure-as-Code (Terraform, AWS CDK) and support model evaluation/monitoring deployment workflows.
• Cross-Functional Collaboration: Partner closely with Data Science, Product Owners, Solutions Architects, and Cyber Security teams to translate AI and feature requirements into production-ready software.

Qualifications

• Experience: 6+ years of software development experience, with at least 2–3 years in a technical lead role. Prior experience in a Canadian Big 5 Bank, Fintech, or enterprise financial environment is strongly preferred.
• AI & LLM Integration: Hands-on experience integrating Generative AI, Large Language Models (LLMs), or Machine Learning services into web applications (e.g., AWS Bedrock, OpenAI/Azure OpenAI, LangChain, LlamaIndex, or RAG architecture).
• Frontend Expertise: Expert-level mastery of Angular (v12+), TypeScript, RxJS, and modern state management strategies.
• Backend Expertise: Deep experience with Node.js building scalable microservices and RESTful/GraphQL APIs.
• AWS & Serverless: Extensive expertise with AWS Lambda, API Gateway, DynamoDB, S3, IAM, and serverless architectural frameworks.
• DevOps & IaC: Strong proficiency with CI/CD tools (GitHub Actions, Jenkins) and Infrastructure-as-Code (AWS CDK, Terraform).
• Communication: Exceptional ability to explain complex technical and AI concepts clearly to non-technical business stakeholders and executive leaders.

Preferred Skills

• AWS Certified Solutions Architect or AWS Certified Generative AI/Machine Learning Specialist.
• Practical knowledge of vector databases (e.g., Amazon OpenSearch, Pinecone, pgvector) for RAG implementations.