Senior Full-Stack Software Engineer; AI Automation

Position: Senior Full-Stack Software Engineer (AI Automation)
Location: Waterloo

Job Overview
We’re building the next generation of customer and employee identity solutions, and we’re looking for a Senior Full‑Stack Software Engineer to help us evolve our CIAM (Customer Identity and Access Management) platform.

In this role, you will design, build, and support authentication features and integrations in security‑sensitive environments. Our approach is automation‑first and AI‑enabled—quality, validation, and release readiness are engineered into the system from the start, not added at the end. You’ll work across the full lifecycle of software delivery, partnering closely with technical leaders and cross‑functional teams to reduce manual work, increase reliability, and improve developer and customer experiences.

You do not need to be an AI specialist to succeed in this role. What matters most is strong engineering judgment, a mindset of continuous improvement, and experience building reliable systems at scale.

Position Responsibilities

Design, build, and enhance CIAM authentication features and integrations, owning changes from design through production support.

Develop application and integration code with quality, security, and reliability built in through automated testing and validation.

Introduce and continuously improve automated tests, checks, and quality gates as a standard part of feature delivery.

Use AI‑assisted development tools thoughtfully to accelerate activities such as test creation, validation, and regression coverage where they add clear value.

Identify repetitive or manual work across testing, environments, and releases, and reduce it by improving system design and automation.

Enhance CI/CD pipelines to ensure issues such as regressions, configuration errors, and security gaps are detected early and automatically.

Collaborate with engineering leads, architects, release teams, and external vendors to translate standards and risks into enforceable, automated controls.

Apply sound engineering judgment, share technical perspectives, and respectfully challenge solutions that increase complexity without improving outcomes.

Leave systems easier to test, validate, maintain, and release than you found them.

Required Qualifications

Approximately 5+ years of professional software engineering experience, including building and supporting production systems. (We recognize experience can be gained in many ways—if your background is different but relevant, we encourage you to apply.)

Experience with full‑stack or backend‑focused development, including APIs, integrations, and distributed systems.

Exposure to authentication, identity, or security‑critical systems (e.g., CIAM, IAM, AuthN/AuthZ) is an asset but not required.

Hands‑on experience with CI/CD pipelines, automated testing, and quality controls integrated into everyday development.

A track record of replacing manual or repetitive work with automation to improve reliability and delivery efficiency.

Comfort using modern development tools, including AI‑assisted tooling, with good judgment around when automation is the right solution.

Preferred Qualifications

Strong problem‑solving skills, independence, and the ability to collaborate effectively across teams and with external partners.

A mindset focused on ownership, learning, and continuous improvement.

Benefits

We’ll empower you to learn and grow the career you want.

We’ll recognize and support you in a flexible environment where well‑being and inclusion are more than just words.

As part of our distributed team, we’ll support you in shaping the future you want to see.

Salary and Location
Referenced Salary

Location:

Waterloo, Ontario

Working Arrangement: 混合式

Salary range is expected to be between $ CAD - $ CAD.

Employees also have the opportunity to participate in incentive programs and earn incentive compensation tied to business and individual performance. The actual salary will vary depending on local market conditions, geography and relevant job‑related factors such as knowledge, skills, qualifications, experience, and education/training.

Equal Opportunity Employer
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