Staff Software Engineer – AI & Platform

Alygra; Quebec; On-site; CAD 120,000 - 180,000; Full time

Job summary

Confidential client engagement in Canada is seeking a Staff Software Engineer to shape the next phase of the engineering organization. This senior individual-contributor role combines technical leadership, hands-on engineering, platform architecture and AI enablement.

You will partner with engineering leadership to embed AI into the software development lifecycle, from tooling to autonomous workflows, while ensuring performance and reliability for a large-scale consumer platform.

Qualifications

• 10+ years of professional software engineering experience
• Approximately 6+ years working with distributed systems or platform architecture
• Experience operating at Staff Engineer, Principal Engineer, Technical Lead or similar level
• Demonstrated ability to design roadmaps and make architectural decisions across multiple systems
• Strong hands-on engineering skills, not purely architecture or management
• Experience with high-traffic digital platforms emphasizing reliability and performance
• Practical experience introducing or scaling AI within engineering teams

Responsibilities

• Define technical direction and translate objectives into practical roadmaps and standards
• Accelerate AI-enabled engineering and integrate AI into development, testing, and operations
• Strengthen platform engineering and develop reusable libraries and tooling
• Raise the engineering bar through reviews, architecture discussions, and coaching of engineers
• Own cross-team initiatives from problem definition through implementation

Skills

Distributed systems

AI enablement

Platform architecture

Developer tooling

Technical leadership

Coaching engineers

Job description

Confidential client engagement - company details will be shared during the interview process.

Opportunity

We are supporting a high-growth digital consumer business in the search for a Staff Software Engineer to help shape the next phase of its engineering organization.

This is a senior individual-contributor role combining technical leadership, hands-on engineering, platform architecture and AI enablement.

You will work closely with engineering leadership and experienced developers to define how AI becomes embedded into the software development lifecycle - from developer tooling and workflows to agentic systems and automation.

At the same time, you will contribute to the architecture and reliability of a large-scale consumer platform handling significant traffic and complex distributed workloads.

The environment requires someone comfortable operating beyond clearly defined tickets and specifications. You will be expected to identify important technical problems, determine the right approach, align stakeholders and contribute directly to implementation.

What You'll Do

Define technical direction

• Help establish and execute technical strategy across platform architecture, developer experience and AI-enabled engineering.
• Translate broader engineering objectives into practical roadmaps, architectural decisions and technical standards.
• Identify technical gaps, dependencies and risks that could limit scalability, reliability or engineering velocity.
• Influence architecture across multiple engineering teams while remaining actively involved in implementation.

Accelerate AI-enabled engineering

• Help evolve engineering practices toward an AI-native development model.
• Identify opportunities to integrate AI into development, testing, debugging, documentation and operational workflows.
• Design or implement internal tools, integrations, plugins and reusable capabilities that improve how engineers work with AI.
• Explore and implement agentic workflows and autonomous engineering systems where they provide measurable value.
• Establish practical standards and guardrails for effective and responsible AI usage within engineering.
• Coach engineers on incorporating AI effectively into their daily workflows.

Strengthen platform engineering

• Work on complex technical challenges related to scale, performance, reliability and distributed systems.
• Improve platform capabilities and internal tooling used by engineering teams.
• Develop reusable libraries, frameworks and infrastructure that improve developer experience and software quality.
• Investigate systemic or high-impact technical issues and drive them through resolution.
• Help teams make pragmatic architectural decisions that balance scalability, security, product requirements and delivery speed.

Raise the engineering bar

• Partner with engineers across teams through technical reviews, architecture discussions, pairing and coaching.
• Introduce patterns and practices that improve maintainability, reliability and development velocity.
• Act as a senior technical partner to engineering leadership.
• Take ownership of ambiguous, cross-functional technical initiatives from problem definition through implementation.

What We're Looking For

• 10+ years of professional software engineering experience, including significant experience designing and building scalable systems.
• Approximately 6+ years working with distributed systems, platform architecture or similarly complex technical environments.
• Previous experience operating at Staff Engineer, Principal Engineer, Technical Lead or an equivalent level of technical influence.
• Demonstrated experience designing technical roadmaps and making architectural decisions across multiple systems or engineering teams.
• Strong hands-on engineering skills - this is not an architecture-only or management position.
• Experience working with high-traffic or high-scale digital platforms where reliability, performance and availability are critical.
• Practical experience introducing or scaling the use of AI within engineering teams.

This could include experience with:

• AI-assisted software development and developer tooling.
• Internal AI tools, integrations, plugins or engineering utilities.
• AI-enabled development, testing or operational workflows.
• Agentic architectures and multi-step AI workflows.
• Autonomous or semi-autonomous agents.
• Developer productivity and AI adoption programs.

You should also have:

• Experience influencing engineers across multiple teams without relying on direct management authority.
• Strong understanding of the trade-offs between engineering, product, security and compliance.
• Experience with platform engineering, developer experience (DX), internal tooling or shared engineering infrastructure.
• Experience creating reusable libraries, frameworks or tools that improve engineering productivity and software quality.
• Strong communication skills and the ability to bring structure to technically ambiguous problems.

Technology Environment

Experience with technologies similar to the following is highly relevant:

• JavaScript / TypeScript
• React
• Next.js
• Node.js
• AWS
• Distributed and cloud-native architectures
• Modern AI development tools and frameworks

You do not need to have worked with every technology listed, but you should be comfortable operating within a modern JavaScript/TypeScript and cloud-based environment.

Engagement Details

This is a full-time permanent position in Canada.

Additional information about the company, benefits, product, engineering organization and engagement will be provided during the interview process.