Job Description

HM Note: This onsite contract role is in office every day at the manager's discretion. Candidate resumes must include first and last name, email and telephone contact information.

Description

Responsibilities:

Design, develop, and optimize cloud-native microservices using

Angular, Spring Boot, and AI-driven framework

Translate technical specifications into functional, tested applications with detailed programming standards. Troubleshoot and resolve technical issues during software implementation, migration, upgrades and operations. Collaborate across teams throughout the Software Development Life Cycle (SDLC) to ensure high-quality solutions. Apply AI-driven static code analysis to identify and resolve potential issues early in the development cycle. Leverage machine learning, natural language processing, and data analytics techniques to enhance automation, system intelligence, and user experience.

Must-Have Skills:

Full Stack Development:

Strong expertise in both front-end (Angular) and back-end (Spring Boot), including database design and DevOps integration, and AI-assisted development workflows (e.g., GitHub Copilot).

Microservices & API Development:

Experience in designing, building, and securing RESTful APIs, ensuring scalability and performance.

Cloud-Native Solutions:

Hands-on experience with cloud platforms (Azure, AKS) and containerization (Docker, Kubernetes).

CI/CD & Agile Methodologies:

Proficiency in continuous integration, deployment pipelines, and agile development practices.

AI/ML Services

: Demonstrates ability to integrate and leverage AI/ML systems to improve scalability, automation, and user experience.

General Skills:

Strong programming and analytical skills with experience in structured software development methodologies. Ability to develop, test, debug, and document applications while following industry best practices. Experience with Spring Boot and Angular upgrade Experience working with relational and NoSQL databases and optimizing queries. Strong problem-solving, decision-making, and communication skills. Ability to work collaboratively in fast-paced, deadline-driven environments. Proficiency in using AI-driven tools for code generation, documentation, and analytics to streamline development workflows.

Desirable Skills:

Experience with middleware, API gateways, and authentication frameworks (OAuth, JWT). Familiarity with rapid application development (RAD) methodologies. Knowledge of Accessibility for Ontarians with Disabilities Act (AODA) compliance. Experience with system documentation and conducting design walkthroughs. Embed AI tools to enhance accessibility, security, and rapid prototyping through intelligent automation. Experience applying AI technologies for accessibility validation, intelligent automation and rapid prototyping.


Skills
Experience and Skill Set Requirements

Evaluation Criteria

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1. Technical Skills (80%)

Proficiency in Angular, React (front-end), and Spring Boot (back-end). Experience designing reusable components and scalable backend services. Strong knowledge of REST APIs, UX/UI principles, AI/ML frameworks and system integration. Expertise in cloud-based solutions, DevOps, CI/CD pipelines, and microservices architecture. Ability to troubleshoot, optimize performance, and ensure security compliance.
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2. Soft Skills & Collaboration (20%)

Ability to work effectively in cross-functional teams and Agile environments. Strong problem-solving, decision-making, and critical-thinking abilities. Excellent verbal and written communication skills. Proven ability to mentor junior developers and conduct knowledge sharing. Ability to manage competing priorities and meet deadlines in a fast-paced environment

Must Have:

Proficiency in Angular, React (front-end), and Spring Boot (back-end). Experience designing reusable components and scalable backend services. Strong knowledge of REST APIs, UX/UI principles, and system integration. Expertise in cloud-based solutions, DevOps, CI/CD pipelines, and microservices architecture. Ability to troubleshoot, optimize performance, and ensure security compliance. * AI/ML framework experience- integration and leverage AI/ML systems to improve scalability, automation, and user experience.