Software Engineering Manager

Exchange Solutions; Toronto; On-site; CAD 150,000 - 210,000; Full time

Job summary

Exchange Solutions seeks an experienced Software Engineering Manager to lead design, development, and delivery of scalable, cloud-native software solutions in a Toronto-based team.

The role demands deep technical leadership, hands-on experience with Java/TypeScript, and a proven track record in guiding engineering teams through Agile delivery, AI initiatives, and modern DevOps practices. On-site in Toronto, competitive compensation offered.

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 modern 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.

Responsibilities

• Lead design and delivery of enterprise-scale software applications and platforms.
• Champion AI and Agentic AI initiatives, including AI-powered applications and automation solutions.
• Drive engineering best practices, including design, code quality, testing, security, and operations.
• Provide hands-on technical guidance using Java and/or TypeScript.
• Define scalable cloud-native architectures leveraging AWS and distributed systems patterns.
• Lead technology strategy, architecture reviews, and technology selection decisions.
• Build, lead, and grow high-performing software engineering teams.
• Set clear goals, performance expectations, and career development plans.
• Foster a culture of innovation, accountability, collaboration, and continuous improvement.
• Manage resource planning, hiring, onboarding, and retention of engineering talent.
• Conduct regular performance reviews and coaching.

Skills

People leadership

Communication

Strategic planning

Mentorship

Agile/Scrum delivery

Education

Bachelor's or Master's in Computer Science/Software Engineering

Tools

Java

TypeScript

AWS

Docker

Kubernetes

Terraform

CI/CD

Job description

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