- Own the full product lifecycle from concept to launch
- Rapidly design, build, and scale transformative digital products, including an agentic AI platform and client experience solutions
- Write production code and make pragmatic architecture decisions
- Use AI-assisted development and coding agents for prototyping, implementation, testing, debugging, and code review
- Balance speed, quality, scalability, and business impact
- Prototype quickly, launch MVPs, run experiments, and validate ideas with real users
- Instrument products, gather feedback, and iterate based on data
- Guide the technical direction of the team through hands-on development
- Establish lightweight architecture and engineering practices
- Provide technical leadership through code reviews, design discussions, and mentorship
- Collaborate with product managers, designers, and business stakeholders
- Communicate trade-offs, risks, and timelines to technical and non-technical audiences
- Champion modern engineering practices, tools, and technologies
- Build reusable components and technical foundations for future products
- Report to the Director of Engineering, In-House Accelerator

Requirements

- 7–10 years of hands-on engineering experience, with recent, demonstrable coding work
- Demonstrated experience using AI-assisted development tools in day-to-day software development
- Solid practices for prompting, code review, testing, security, and validating AI-generated code
- Experience designing and building scalable microservices, APIs, and distributed systems
- Product mindset focused on user value
- Ability to make decisions with incomplete information and adjust based on learning




- Hands-on experience deploying and operating software in the cloud using AWS and Azure
- Experience with CI/CD, containers, and frequent production releases
- Knowledge of performance, observability, security, and resilient system design
- Ability to influence technical direction without relying on hierarchy
- Experience mentoring engineers
- Strong communication skills and ability to explain complex systems simply and persuasively
- Nice to have: experience in startups, accelerators, or innovation labs
- Nice to have: experience with AI/ML systems, LLMs, prompt engineering, or agentic architectures

Core Competencies

Demonstrates expertise in the full product lifecycle, from concept to launch, with a strong focus on AI-assisted development, scalable microservices, and cloud deployment using AWS and Azure. Capable of providing technical leadership, mentoring engineers, and communicating complex systems effectively to diverse audiences.

Highest-signal resume keywords

- AI-Assisted Development Tools
- Scalable Microservices Design
- Cloud Deployment (AWS, Azure)
- CI/CD and Containerization
- Technical Leadership and Mentorship

Hard Skills

- Production Code Writing
- Architecture Decision Making
- Prototyping and MVP Launch
- Code Review and Testing
- Security Practices
- Distributed Systems Design
- Performance and Observability
- Resilient System Design
- Prompt Engineering
- Agentic Architectures

Soft Skills

- Strong Communication Skills
- Ability to Influence Technical Direction
- Decision Making with Incomplete Information

Industry Keywords

- Product Mindset
- User Value Focus
- Startups
- Accelerators
- Innovation Labs

Tools & Technologies

- AI Platforms
- CI/CD Tools
- Containers
- Cloud Services (AWS, Azure)

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📌 Lead Software Engineer – Product Builder (Ontario)
🏢 Jobtailor
📍 Ontario