Lead Software Engineer

HTS Engineering Ltd.•Toronto, ON

1d•Hybrid

About The Position

Founded in 2015 in Toronto, Canada, KORE Solutions is a subsidiary company of HTS and an innovative technology solutions and services provider with a strong focus on the HVAC manufacturer’s representative industry. With a variety of offerings including business intelligence software, help service support, and more, KORE delivers end-to-end solutions that empower our partners and clients to build their successful business. At KORE, communication and collaboration is our top priority. As a team member, you’ll be working closely with all departments to develop our software, TRAX, and the infrastructure surrounding it. We have a strong teamwork-oriented culture, meaning you’re surrounded by resources who want you to succeed. Your contributions will also have a direct impact. You’ll be providing meaningful change to the company and serve to enhance our processes. The Lead Software Engineer acts as a Technical Lead responsible for guiding the design, development, and delivery of high-quality software solutions. Working closely with the Systems Architect, this role ensures that architectural vision is translated into practical, scalable, and maintainable implementations. This is a hands-on leadership role without direct reports, focused on project oversight, technical decision-making, and mentoring developers. The ideal candidate balances strong engineering depth with leadership influence, ensuring teams deliver reliable, secure, and high-performing applications aligned with modern cloud-native and AI-enabled architectures.

Requirements

IT related degree/diploma or equivalent in related field preferred
8+ years of experience in software development, with at least 2–3 years in a technical leadership or lead role
Strong proficiency in backend development (e.g., Python, C#/.NET, or similar)
Experience with modern frontend frameworks (e.g., React, Angular)
Hands-on experience designing and building distributed systems, microservices, and API-driven architectures
Solid understanding of software engineering best practices, including testing, version control, code quality, and secure development
Strong understanding of API design, RESTful services, and integration patterns
Experience with data platforms and integration (SQL, NoSQL, messaging systems such as Kafka or Service Bus)
Familiarity with event-driven architecture and asynchronous messaging patterns
Exposure to AI/ML integration, including leveraging AI services or APIs within applications
Understanding of security best practices and secure coding standards
Experience working closely with architecture teams in enterprise environments
Proven ability to lead technical delivery, mentor developers, and influence engineering practices
Strong problem-solving, communication, and stakeholder collaboration skills
Experience working in Agile/Scrum environments
Ability to lead technical direction and influence decisions without formal authority
Excellent communication skills, with the ability to clearly explain complex technical concepts and trade-offs
Strong stakeholder management and relationship-building across engineering, architecture, and business teams
Proven ability to mentor and coach developers, elevating overall team capability
Strong problem-solving skills, with the ability to navigate complex and ambiguous technical challenges
Sound decision-making, balancing speed, quality, scalability, and maintainability
High level of ownership and accountability for delivery outcomes and solution quality
Strong collaboration skills, working effectively across cross-functional teams
Results-driven mindset with a focus on execution and delivering high-quality outcomes
Adaptability and continuous learning, including openness to new technologies such as AI/ML

Nice To Haves

Experience with mobile application development or cross-platform frameworks (e.g., Flutter) is an asset

Responsibilities

Lead the end-to-end technical delivery of software solutions, ensuring alignment with architectural standards and business objectives
Act as the primary technical point of contact for project teams, resolving complex design and implementation challenges
Break down high-level architecture into implementable designs, tasks, and development plans
Ensure code quality, performance, scalability, and security across all deliverables
Contribute hands-on to development, particularly on critical or complex components
Partner closely with the Systems Architect to translate architecture into actionable engineering solutions
Provide feedback on architecture based on implementation realities, risks, and trade-offs
Ensure adherence to enterprise patterns (API-first, microservices, event-driven, cloud-native)
Support design reviews, technical governance, and solution validation
Design and develop modern applications using microservices, APIs, and event-driven architectures
Guide teams in building full-stack solutions (frontend, backend, integrations)
Promote and enforce best practices in coding standards, testing, and secure development
Drive adoption of reusable components, shared services, and engineering accelerators
Develop and deploy applications on Microsoft Azure using cloud-native services
Work with containerized environments (Docker, Kubernetes) to build scalable applications
Implement and optimize CI/CD pipelines and DevOps practices
Ensure observability through logging, monitoring, and tracing
Collaborate on integrating AI/ML and generative AI capabilities into applications
Implement APIs and services that leverage AI platforms and data pipelines
Ensure applications are designed to support data-driven and intelligent workflows
Work with data teams to enable reliable integration with data platforms
Provide technical mentorship and guidance to junior and intermediate developers
Conduct code reviews and promote continuous improvement in engineering practices
Support onboarding and skill development within the team
Lead by example through hands-on contribution and engineering excellence
Collaborate with project managers and stakeholders to ensure timely and high-quality delivery
Identify technical risks, dependencies, and mitigation strategies
Contribute to sprint planning, estimation, and backlog refinement
Communicate progress, challenges, and technical decisions effectively