Lead Software Engineer

Get started on an exciting career at Element!

Element employees make a difference in the lives of others every day. We are re-defining the fleet management industry to be people first then business delivering on our promise of a superior client experience. This takes hard work and innovation and we need more like-minded people on our team.

About the Role

Werelooking for a dynamic and collaborative Lead Software Engineer to join our this role you will lead end-to-end solution delivery across the Billing and Maintenance product landscape driving modernization of maintenance operations improving billing accuracy and enhancing service reliability. You will serve as the overall technical and delivery lead across multiple vendor development teams ensuring alignment between solution architecture application development and businessobjectives. This role partners closely with product operations vendors and internal IT teams to deliver scalable secure and high-quality solutions that improve operational efficiency revenue protection and client experience.

Beyond traditional delivery you will actively champion AI-assisted engineering and intelligent automation as core practicesleveragingmodern AI development tools and agentic capabilities to accelerate delivery improve quality and unlock smarter workflows across the Billing and Maintenance product landscape.

WhatYoullDo

• Lead end-to-end solution delivery for Billing and Maintenance applications across front end back end APIs/services integrations data layers AI-enabled capabilities and vendor-supported components.

• Drive AI-assisted engineering as a core practiceacross the team leveragingtools like GitHub CopilotClaude or equivalent platforms for code generation refactoring test authoring debugging documentation and solution prototyping to meaningfully accelerate delivery.

• Identifyand lead practical AI automation and intelligent workflow opportunities across Billing and Maintenance to reduce manual effort improve billing accuracy detect anomalies support decision-making and enhance client experience.

• Serve as the overall application lead solution architecture lead and functional SME across Billing and Maintenance initiatives from intake design development testing release and production support.

• Provide technical functional and delivery direction to vendor development teams ensuring architecture application development AI opportunities and business requirements are aligned to enterprise standards and product outcomes.

• Translate business needs into scalable functional and technical specifications including impact analysis solution options design decisions dependencies risks security considerations and effort estimates.

• Lead architecture and solution design discussions ensuring implementations meet security performance availability scalability compliance resiliency maintainability data governance and AI risk standards.

• Partner with product operations QA design business stakeholders IT security data and vendor teams to refine requirements prioritize work manage dependencies track deliverables and drive Agile execution.

• Establish and enforce engineering standards for clean secure maintainable code through design reviews code reviews refactoring automated testing CI/CD improvements and release governance.

• Act as the primary escalation and decision-making point for complex system issues during project delivery enhancements testing release production support and incident response.

• Facilitate knowledge transfer between Element IT vendor partners and business stakeholders while mentoring team members promoting best practices andmaintainingAPI specifications architecture notes runbooks support guides and operational readiness documentation.

Basic Qualifications

• 8 years of hands-on experience delivering production-grade software solutions with strong depth in backend engineering APIs/services integrations data layers and cloud-native application delivery.

• 3 years of technical leadership experience including leading solution design breaking down work mentoring engineers guiding vendor development teams and driving code quality through reviews and engineering standards.

• Demonstrated hands-on use of AI-assisted development tools ( Copilot Cursor or Claude/ChatGPT for dev workflows) to improve engineering productivity across the SDLC.

• Bachelors degree in computer science Software Engineering or a related discipline or equivalent practical experience.

• Strongproficiencyin at least one modern backend language/framework such as Java/Spring or Python with experience designing scalable REST/GraphQLAPIs microservices event-driven services and integration patterns.

• Hands-on experience designing building deploying and operating cloud-native applications using platforms such as Azure AWS or GCP including containers Kubernetes serverless services managed databases and cloud security practices.

• Strong hands-on understanding of DevOps and cloud-native delivery practices including CI/CD pipelines infrastructure as code automated deployments observability release management and production reliability.

Preferred Qualifications

• Frontend development experience using modern frameworks such as React Angular or Vue is an added advantage.

• Hands-on experience or strong working knowledge of Agentic AI solutions including AI agents workflow automation LLM integration prompt orchestration tool/function calling human-in-the-loop controls and responsible AI practices.

• Ability to effectively use AI-assisted development tools to improve engineering productivity including code generation debugging refactoring test creation documentation and solution prototyping whilemaintainingcode quality security and compliance standards.

• Experience with observability practices including logging metrics tracing alerting dashboards andproductionhealth monitoring.

• Strong understanding of secure-by-design practices including authentication authorizationsecretsmanagement vulnerability remediation OWASP fundamentals and data protection.

• Experience evaluating or integrating AI/ML platforms copilots third-party AI services or intelligent automation solutions into enterprise applications.

Location

Toronto. Our Mississauga office will move to 1 Adelaide in Toronto in September 2026.

The hiringbase salary range for this position is$111100 -$152800 annually. Actual compensation within this range will be dependent upon the individuals knowledge skills experience equity with other team members and alignment with market data. Please note that the disclosed salary range is solely for candidates hired to perform work within this geographic location. Candidates hired to work in other locations will be subject to the pay range associated with that location.

Whats in it for You
A culture of innovation empowerment decision-making and accountability
Comprehensive health and welfare benefits that serve the needs of you and your family and foster a culture of wellness (for qualified roles)
Additional benefits and amenities including paid time-off programs (vacation sick leave and holidays) (for qualified roles)

Applicants will be required to undergo a background check only if and after a conditional offer of employment has been extended.

Element Fleet Management and its wholly owned subsidiaries are an equal opportunity employer committed to diversity equity inclusion and belonging. We are pleased to consider all qualified applicants for employment without regard to race color religion genetic information sex gender identity sexual orientation age marital status family status ancestry national origin citizenship physical or mental disability veteran status military obligations or any other characteristic protected by federal state and local laws. Disability-related accommodations during the application and interview process are available upon you require an accommodation with our hiring process please send an email to or call . Element Fleet Management also uses AI-assisted tools to help screen and assess applications. These tools analyze information you provide (for example your rēsumē and screening responses) to identify job-related skills qualifications and experience. AI outputs do not by themselves determine whether you advance or receive an offer they assist recruiters and hiring managers. Final hiring decisions are made by people.