Closed listing
Senior Software Engineer
- Toronto, ON, Canada
$130,000 to $150,000 CAD / year · Full-time
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $130,000 to $150,000 CAD / year
- Job type
- Full-time
- Closing date
- Experience
- 5–8 years of experience, including leading feature- or epic-level work.
- Posting language
- English
- Posted
Similar jobs hiring now
Added
Senior Site Reliability Engineer
Royal Bank of Canada · Toronto, ON, Canada
Added
Software Engineer, Level 3, Backend
Snap Inc. · Toronto, ON, Canada
Added
Senior Site Reliability Engineer
RBC · Toronto, ON, Canada
Added
Member of Technical Staff (Software Engineer, Enterprise Trust & Governance)
Perplexity · Toronto, ON, Canada
$220,000 to $405,000 USD / year
Original job description
Archived listing. The details below describe a past opening.
Engineering @ AltaML - How We Work:
What You'll Do:
Feature & Epic Implementation (:45%)
- We are an AI-first company. Claude Code and AltaML's shared configuration and skills library are the default way engineers design, build, test, and review software, not an optional accelerant a few people use.
- We expect dramatically higher productivity from working this way. A step change, not a marginal gain. That's the baseline we hire and promote against, not an aspirational ceiling.
- We believe AI has compressed what used to take weeks into days, and what used to take days into hours. Estimates, sprint commitments, and delivery timelines should reflect that reality, not pre-AI habits.
- Show us, don't tell us. As part of applying, share an example of your AI-assisted coding: a PR, a repo, a recorded session, or whatever best demonstrates how you actually work with AI day to day.
- We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't
What You'll Do:
Feature & Epic Implementation (:45%)
- Lead implementation of medium-to-large complexity features or epics, decomposing the work into tasks other engineers can pick up.
- Own technical design for self-contained or multi-service solutions, including proposing and diagramming the approach.
- Actively mentor Intermediate and junior engineers, and model AI-first practice (shared CLAUDE.md, skills library) so it spreads through the pod rather than staying one person's habit.
- Lead technical discovery sessions, act as technical SME in client conversations, and contribute to pre-sales.
- 5–8 years of experience, including leading feature- or epic-level work.
- A track record of using AI coding tools (Claude Code or equivalent) to materially speed up delivery - you can speak concretely to how, not just that you use one.
- Strong system design, testing, and mentorship instincts.
- Comfort engaging directly with clients and stakeholders on technical topics.
- Experience standardizing engineering practices or contributing to a shared config/skills library.
- Experience with agentic or GenAI systems in production.
- Complex Feature/Epic Leadership: Leads complex features and epics through to delivery with a consistently low post-deployment defect rate.
- AI-Accelerated Technical Design: Turns requirements into approved technical designs in a fraction of the time it used to take, using AI-assisted design and prototyping - the weeks-to-days compression this role is expected to drive for the pod.
- Reusable IP & AltaForge Contribution: Ships or evolves reusable components into AltaForge or shared libraries that see strong adoption elsewhere - moving the AltaForge Clients and Same-Agent-Across-Clients north stars.
- Mentorship Impact: Runs regular mentoring/pairing sessions with clear, visible skill growth in mentees.
- Client Confidence: Leads technical discovery/SME sessions that consistently earn strong client satisfaction - supporting USD Revenue % and Recurring License Sales % where the engagement is US-based or license-oriented.
More about this job
Responsibilities
Lead complex feature and epic delivery, including task decomposition and end-to-end technical design. Mentor engineers, model AI-first development practices, and represent the technical team in client discovery, stakeholder discussions, and pre-sales.
Requirements
Requires 5–8 years of experience, including leading feature- or epic-level work, and a demonstrated ability to use AI coding tools to materially accelerate delivery. Candidates should bring strong system design, testing, and mentoring skills, and be comfortable discussing technical topics with clients and stakeholders.
Skills
- Feature Implementation
- Epic Leadership
- Technical Design
- System Design
- AI-Assisted Coding
- Claude Code
- Software Architecture
- Testing
- Code Review
- Mentorship
- Client Engagement
- Technical Discovery
- Stakeholder Communication
- GenAI Systems
- Reusable Components
- Pre-Sales
Visa sponsorship
Not detected in the job text
Categories
- Software
- Technology
- Engineering
- Management & Leadership
- Consulting
Keywords
- Claude Code
- AI-First Engineering
- AI-Assisted Coding
- Shared Configuration
- Skills Library
- CLAUDE.md
- Feature Implementation
- Epic Delivery
- Task Decomposition
- Technical Design
- System Design
- Multi-Service Solutions
- Software Architecture
- Testing
- Code Review
- Mentorship
- Pairing
- Client Discovery
- Technical Subject Matter Expertise
- Pre-Sales
- Agentic Systems
- Generative AI
- Production Systems
- Reusable Components
- AltaForge
- Shared Libraries
- Post-Deployment Defect Rate
- Stakeholder Engagement