We are seeking an experienced Software Engineering Manager to lead the design, development, and delivery of scalable, cloud-native software solutions. The ideal candidate combines deep technical expertise with strong people leadership, bringing extensive experience in software architecture, hands-on development, cloud platforms, AI-driven solutions, and engineering team management. This role requires a leader who can drive technical excellence, mentor engineering teams, and collaborate closely with product, architecture, and business stakeholders to deliver innovative solutions.

Key Responsibilities

Technical Leadership

- Lead the design, and development of enterprise-scale software applications and platforms.
- Champion AI and Agentic AI initiatives, including the development and deployment of AI-powered applications, intelligent agents, and automation solutions.
- Drive engineering best practices, including software design principles, code quality, testing, security, and operational excellence.
- Provide hands-on technical guidance and contribute to critical development efforts using Java and/or TypeScript.
- Define and implement scalable cloud-native architectures leveraging AWS services and modern distributed systems patterns.
- Lead technical strategy, architecture reviews, and technology selection decisions.

Engineering Management

- Build, lead, mentor, and grow high-performing software engineering teams.
- Establish clear goals, performance expectations, and career development plans for team members.
- Foster a culture of innovation, accountability, collaboration, and continuous improvement.
- Manage resource planning, hiring, onboarding, and retention of engineering talent.
- Conduct regular performance reviews, coaching sessions,



and technical mentoring.

Agile Delivery &

- Execution

- Lead Agile/Scrum processes including sprint planning, backlog grooming, estimation, retrospectives, and release planning.
- Partner with Product Management and stakeholders to prioritize initiatives and align engineering efforts with business objectives.
- Ensure predictable delivery of high-quality software through effective planning, risk management, and execution.
- Monitor project health, remove impediments, and drive continuous process improvements.

Cloud &

- Platform Excellence

- Lead cloud transformation initiatives utilizing AWS services such as EC2, ECS/EKS, Lambda, API Gateway, RDS, DynamoDB, S3, CloudWatch, and related technologies.
- Establish DevOps, CI/CD, Infrastructure-as-Code, and observability best practices.
- Ensure scalability, reliability, security, and cost optimization across cloud environments.

AI &

- Emerging Technologies

- Drive adoption of AI technologies, including Large Language Models (LLMs), Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and intelligent workflow automation.
- Evaluate emerging technologies and identify opportunities to improve business outcomes through innovation.
- Guide engineering teams in integrating AI capabilities into products and platforms.

Required Qualifications





- 15+ years of software development experience building enterprise applications and distributed systems.
- 5+ years of experience managing software engineering teams.
- Strong expertise in software architecture, system design, and scalable application development.
- Hands-on programming proficiency in Java and/or TypeScript.
- Extensive experience with the AWS Cloud Platform and cloud-native architectures.
- Experience leading Agile/Scrum software development teams.
- Proven track record of delivering large-scale software products from concept through production.
- Experience with up-to-date DevOps practices, CI/CD pipelines, containerization, and microservices architectures.
- Strong understanding of software engineering methodologies, design patterns, and engineering best practices.
- Excellent communication, stakeholder management, and leadership skills.

Preferred Qualifications

- Experience with AI/ML platforms, Generative AI, LLMs, Agentic AI frameworks, and intelligent automation solutions.
- Experience with Kubernetes, Docker, Terraform, and Infrastructure-as-Code.
- Background in enterprise SaaS platforms, cloud modernization, or digital transformation initiatives.
- Experience engineering teams.
- Bachelor's or master's degree in computer science, Software Engineering, or a related field.

Key Competencies

- Software Architecture &
- System Design
- AI Agentic Development &
- Generative AI
- Java and TypeScript Development
- AWS Cloud Architecture
- Engineering Leadership &
- Team Management
- Agile/Scrum Delivery Management
- DevOps &
- CI/CD
- Strategic Planning &
- Execution
- Stakeholder Management
- Technical Mentorship &
- Talent Development

📌 Software Engineering Manager (Toronto)
🏢 Exchange Solutions
📍 Toronto