Director, Engineering
- Toronto, ON
- Sur place
- Publié 19 août 2026
- 1 poste
Ouvre un site externe
- Type d’emploi
- Temps plein
- Niveau d’expérience
- Chef d’équipe · 10+ ans
- Formation minimale
- Baccalauréat
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
Résumé du poste
Lead, mentor, and grow a cross-functional engineering team while defining technical vision and architectural strategy. Ensure high-quality software delivery and operational excellence by tracking technical performance indicators and aligning engineering output with business goals.
Détails du poste
About B3 B3 is a cloud-native, AI-driven data experiences innovator that puts data to work for everyone. Powered by AI, data science, and a secure data foundation, our platform makes data actionable with seamless integration, real-time visibility, and intuitive dashboards. With B3, companies get intelligent, agile data experiences that drive exponential business impact. About the Role This is a role for a builder! As we scale up our teams and our platform; you as a technical leader will guide the team in building, improving, and maintaining a best-in-class platform. You’re a hands-on Eng. Leader who to not only leads a team of engineers but also continues to build on the talent we have. You’re experienced in designing and building microservices on the cloud, Web applications. You’re an excellent communicator and thrive to make a significant impact with our clients. Expect to take ownership of technical vision and strategy, to take the lead on key architectural decisions, to mentor a growing team. About the Work Lead, mentor, and grow a cross-functional engineering team (Application, Platform, Data Services) and coach towards aligned career goals. Lead the tracking of critical technical performance indicators (uptime, delivery speed, release quality, and unit economics) to ensure engineering output directly translates into measurable business success. Work hand-in-hand with customer-facing departments to equip internal teams with technical expertise, solve client challenges, and boost customer satisfaction. Deliver outcomes for the team, ensuring predictable, high-quality software delivery through strong execution, prioritization, and operational rigor. About You With 10+ years of progressive experience; you’re a developer at heart, growing from an IC to leadership, and passionate about building good software. You will bring deep expertise in AI-assisted software development and a proven track record of scaling AI coding tools across engineering teams. You champion engineering best practices and sound architecture to continuously raise the bar for platform scale, performance, and reliability. You will strategically manage engineering capacity to deliver immediate business priorities while continuously modernizing and ensuring limited to no “tech debt”. Bachelor’s Degree in Engineering or Computer Science required, advanced degree preferred Bonus Points Knowledge of the latest AI and machine learning advancements in the manufacturing or industrial sector, with a strong commitment to driving continuous innovation. Self-driven — you proactively seek answers and explore solutions without waiting for direction. Understanding of Real-time Data environments, Data Science workflows or industrial data. About the Office All In, In Office – Centrally located at the corner of Yonge & St. Clair, we show up together, every weekday. Face-to-face time fuels our culture, speed, and creativity. Built for Growth – We’re moving fast, keeping structure light, and rewarding people who take ownership and drive momentum. If you’re driven by applied AI, enjoy working in the future, and want to build data science solutions that make a real impact, we’d love to meet you. Note: This position reflects an existing vacancy. B3 Systems is proud to be an Equal Employment Opportunity employer. We truly appreciate your interest in joining our team. While we may not be able to connect with every applicant, we will reach out directly to those selected for next steps. No “artificial intelligence” tool will be used to screening, assessment or selection of applicants for this opportunity. We celebrate diversity and are committed to creating an inclusive, supportive workplace where everyone can thrive. If you require any accommodations or support at any stage of the selection process, please let us know—we’re happy to help.
Ce que vous ferez
Lead, mentor, and grow a cross-functional engineering team while defining technical vision and architectural strategy. Ensure high-quality software delivery and operational excellence by tracking technical performance indicators and aligning engineering output with business goals.
Exigences
Requires 10+ years of progressive experience with a strong background in building microservices and scaling AI-assisted software development. A Bachelor's degree in Engineering or Computer Science is mandatory, with a preference for advanced degrees.
Compétences indiquées
- Software · Souhaitée
- Technical · Souhaitée
- assessment · Souhaitée
- Operational Excellence · Souhaitée
- Teams · Souhaitée
- Client · Souhaitée
- Execution · Souhaitée
- Development · Souhaitée
- Agile · Souhaitée
- Time · Souhaitée
- Tracking · Souhaitée
- Customer · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Engineering leadership
- Microservices
- Cloud computing
- AI-assisted software development
- Data science
- Team mentorship
- Software architecture
- Technical strategy
- Performance indicators
- Cross-functional leadership
- Operational rigor
- Web applications
- Industrial data
- Data services
- Platform scaling
- Business Success
- Cloud-Native Computing
- Workflow Management
- Agile Methodology
- Artificial Intelligence
- Computing Platforms
- Software Development
- Business Continuity Planning
- Dashboard
- Customer Service
- Computer Science
- Creativity
- Data Security
- Economics
- Leadership
- Innovation
- Machine Learning
- Technical Performance Measure
- Reliability
- Prioritization
- Data Science
- Real Time Data
- Business Priorities
Domaines d’emploi
- Technology
- Management & Leadership
- Software
- Engineering
- Data & Analytics
- Vice President of Engineering
- Manufacturing Managers
- Architectural and Engineering Managers
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