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Added 1 month ago
Senior Staff Engineer
RBC
Vancouver, BC
Full-time
Familiarity with AI-assisted development workflows, including prompt engineering for code generation and the ability to critically evaluate AI-generated code for correctness and security
Added 1 month ago
Sales Engineer
Saskatoon, SK
Full-time
The mission of the Sales Engineer is to bridge the gap between technical expertise and revenue generation - accelerating sales through tailored solution design, strategic product…
Added 1 month ago
Senior Staff Engineer
Royal Bank of Canada
Vancouver, BC
Full-time
Familiarity with AI-assisted development workflows, including prompt engineering for code generation and the ability to critically evaluate AI-generated code for correctness and security
Added 1 month ago
Enterprise AI Engineer
Northland Power Inc.
Toronto, ON
Full-time
The Enterprise AI Engineer is responsible for driving the adoption, governance, development, and operationalization of Artificial Intelligence across Northland Power. This role serves as…
Added 3 months ago
Associate LLM Engineer
ZS
Toronto, ON
Full-time
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 1 month ago
Senior AI Engineer - Growth
Kraken
Canada
Full-time
As AI Engineer, Growth, you will be the second builder on this engine. Working alongside our lead architect, you execute - building, shipping, and iterating the agent orchestrations,…
Added 2 months ago
Intermediate Full Stack Software Engineer
AltaML
Edmonton, AB
$90,000 to $110,000 CAD / year
Full-time
We are looking for a Full Stack Software Engineer who builds software in an AI-native way - someone who treats Claude and the latest agentic coding tools as a core part of their craft, not…
Added 19 days ago
AI Engineer - AI Platform Engineering
Royal Bank of Canada
Toronto, ON · Vancouver, BC
Full-time
Experience with LLM orchestration, prompt engineering, agentic AI systems, or AI infrastructure
Added 19 days ago
AI Engineer - Full Stack Agentic UX
Royal Bank of Canada
Toronto, ON · Vancouver, BC
Full-time
· Familiarity with AI/LLM-powered tools, prompt engineering, or agentic AI development patterns
Added 21 days ago
Senior GenAI Engineer/Lead
Capgemini
Montreal, QC
Implement optimization techniques including prompt engineering, fine-tuning, and Retrieval-Augmented Generation (RAG).
Added 1 month ago
AI Modeling Engineer
Palona AI
Toronto, ON
Full-time
We are looking for an applied AI Modeling Engineer to improve the intelligence, accuracy, safety, latency, and cost of Palona’s voice and multimodal agents. You will own problems across…
Added 1 month ago
Principal Engineer, Agentic Products & Workflows
Big Viking Games
Remote, Canada
Full-time · Remote
Big Viking Games is hiring a Principal Engineer, Agentic Products & Workflows to build the systems that make an AI-first game studio real.
Added 1 month ago
Software Engineer, Agent - Retail
Sierra
Toronto, Ontario
Full-time
Every engineer on the Retail Team is a product-led thinker; every PM on Retail is also tinkering and developing tangible prototypes; and every strategist on Retail is capable of owning an…
Added 5 months ago
AI Engineer
GEI Consultants, Inc.
Vaughan, ON
Full-time
The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained models and copilots, to support GEI’s priority digital and AI initiatives. This role…
Added 2 months ago
Machine Learning Engineer
exacare ai
Canada
Full-time
We are seeking a highly adaptable, creative, and well-rounded Machine Learning Engineer to join our team. You will own the end-to-end ML lifecycle, from dataset creation and foundational…
Added 11 days ago
Staff Security Engineer
Forma.ai
Toronto, ON
As a Staff Security Engineer, you will be a hands-on technical leader strengthening security across Forma's application, cloud infrastructure, development lifecycle, internal systems, and…
Added 1 month ago
QUALITY ENGINEER
Rockwell Automation
Cambridge, ON · Dundas, PE · Canada Cambridge (Dundas)
Full-time
Rockwell Automation is seeking a Quality Engineer to support our Cambridge, Ontario operations and play a key role in advancing operational quality across our Medium Voltage product lines.…
Added 23 days ago
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
Full-time
As a Senior AI Engineer, your primary focus will be building AI features and intelligent agents specifically for the Contract Lifecycle Management (CLM) domain, though you will also be…
Added 23 days ago
AI Engineer - Full Stack Agentic UX
RBC
Vancouver, BC · Toronto, ON
Full-time
· Familiarity with AI/LLM-powered tools, prompt engineering, or agentic AI development patterns
Added 23 days ago
AI Engineer - AI Platform Engineering
RBC
Vancouver, BC · Toronto, ON
Full-time
Experience with LLM orchestration, prompt engineering, agentic AI systems, or AI infrastructure
Added 1 month ago
Software Engineer, Integrations
Cohere
Remote, Canada
Full-time · Remote
You have a background in evaluating agentic systems (ideal), or at minimum know what an eval is and are comfortable with prompt engineering and tool-description tuning.
Added 1 month ago
Software Engineer AI - Multiple Levels
Diligent Corporation
Vancouver, BC
As a Software Engineer on Diligent's Platform AI team, you'll help design, build, and operate the core services that power AI-driven capabilities across Diligent's global product suite.…
Added 1 month ago
Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
Full-time
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services…
Added 2 months ago
Founding AI Engineer
Paires
Remote, Canada
$230,000 to $370,000 CAD / year
Full-time · Remote
We are hiring our Founding AI Engineer to own the agent layer of an AI-first fundraising platform: the conversational agents that run our warm outreach and investor relationships, and the…
Added 2 months ago
(CAN) Quality Engineer III
Walmart Canada
Mississauga, ON
Full-time
2+ years of Prompt engineering for data quality rule generation

Element Fleet Management

Lead Software Engineer – Java/Spring, AWS & Solution Architecture

Toronto, ON, Canada

Pay: The hiring base salary range for this position is $111,100 - $152,800 annually.
Job type: Full-time
Apply by: Oct 2, 2026
Posting language: English
Posted: Sep 16, 2026

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Original job description

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 

We’re seeking a hands-on Java/Spring technical leader who has led end-to-end solution design and delivery of API-driven, cloud-native applications on AWS. This is not a pure architecture or people-management role - you’ll remain technically close to the solution while leading architecture, engineering delivery, and development teams. In 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 business objectives. 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.

What You’ll Do 

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 practice across the team - leveraging tools like GitHub Copilot, Claude, or equivalent platforms for code generation, refactoring, test authoring, debugging, documentation, and solution prototyping to meaningfully accelerate delivery.

Identify and 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, and maintaining API 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.

Must have3+ 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.

Strong proficiency in at least one modern backend language/framework (e.g., Java/Spring Boot, Node.js, or Python), with experience designing scalable REST/GraphQL APIs, microservices, event-driven services, and integration patterns.

Must have Hands-on experience designing, building, deploying, and operating cloud-native applications on AWS, including containerized workloads (Kubernetes/EKS, ECS), serverless services such as AWS Lambda, managed databases, and cloud security practices.

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

Bachelor’s degree in computer science, Software Engineering, or a related discipline, or equivalent practical experience.

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 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 while maintaining code quality, security, and compliance standards.

Experience with observability practices including logging, metrics, tracing, alerting, dashboards, and production health monitoring.

Strong understanding of secure-by-design practices, including authentication, authorization, secrets management, 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 hiring base salary range for this position is $111,100 - $152,800 annually. Actual compensation within this range will be dependent upon the individual’s 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

What’s 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 request. Should you require an accommodation with our hiring process please send an email to talentacquisition@elementcorp.com or call (800) 665-9744. 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.

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More about this job

Responsibilities

You will lead end-to-end solution delivery for Billing and Maintenance applications while driving AI-assisted engineering practices across development teams. The role involves managing vendor partners, ensuring architectural alignment, and translating business requirements into scalable technical specifications.

Requirements

Candidates must have 8+ years of software engineering experience with a strong background in Java/Spring and AWS cloud-native delivery. A bachelor's degree in computer science or a related field is required, along with 3+ years of technical leadership experience.

Skills

Java
Spring Boot
AWS
Solution Architecture
API Development
Cloud-native applications
Technical leadership
Microservices
Kubernetes
CI/CD
DevOps
AI-assisted engineering
System design
Vendor management
Agile
Data governance

Benefits

Health insurance
Welfare benefits
Paid time-off
Vacation
Sick leave
Holidays

Visa sponsorship

Not detected in the job text

Keywords

Java
Spring Boot
AWS
Solution Architecture
Cloud-native
Kubernetes
EKS
Lambda
Microservices
REST APIs
GraphQL
GitHub Copilot
AI-assisted development
DevOps
CI/CD
Infrastructure as Code
Observability
Agile
Billing systems
Maintenance operations
Vendor management
Software Engineering
Data layers
Event-driven services
Security-by-design
OWASP
Automation
Enterprise standards
Technical leadership
Fleet management

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