Accountabilities:

Define and lead target architectures across cloud infrastructure, data platforms, and application environments, primarily using Google Cloud technologies.

Take a hands-on approach to engineering by developing prototypes, writing infrastructure-as-code, reviewing pull requests, and resolving complex technical challenges.

Own key architectural decisions, ensuring solutions address security, scalability, reliability, cost efficiency, and long-term maintainability.

Act as the architectural authority on major client engagements, overseeing design quality and ensuring technical consistency across delivery teams.

Lead, mentor, and develop a team of architects through performance management, career planning, coaching, and professional development.

Establish architectural standards, reusable design patterns, documentation practices, and decision-making frameworks across projects and regions.

Strengthen the architecture function through recruitment, training, design reviews, knowledge-sharing initiatives, and communities of practice.

Collaborate with delivery leadership to allocate architectural resources effectively and align expertise with project requirements.

Support business development and pre-sales activities by shaping technical solutions, preparing estimates, contributing to proposals, and identifying delivery risks.

Build trusted relationships with senior client stakeholders, including engineering leaders and CTOs, while representing technical expertise in industry events and strategic partnerships.

Integrate AI agents into engineering and architecture workflows, overseeing their development, versioning, evaluation, operation, and continuous improvement.

Requirements

Extensive hands-on experience designing, building, and delivering production-grade cloud architectures, preferably on Google Cloud, with relevant AWS or Azure experience also considered.

Strong engineering foundations, with senior-level expertise in at least one discipline, such as platform engineering, data engineering, software engineering, or machine learning engineering.

Broad systems architecture knowledge covering networking, cybersecurity, identity and access management, data platforms, and application architecture.

Practical experience with infrastructure-as-code tools such as Terraform, CI/CD pipelines, containers, Kubernetes, and programming languages such as Python.

Demonstrated experience leading, mentoring, or managing engineering and architecture teams, with the ability to establish standards and elevate technical capabilities.

Proven experience leading client-facing architecture discussions, engaging senior stakeholders, and contributing to pre-sales and solution design activities.

Strong communication and stakeholder management skills, with the ability to explain complex technical concepts and architectural trade-offs clearly to diverse audiences.

Ability to balance strategic thinking with hands-on execution, manage competing priorities, and make sound technical decisions in complex delivery environments.

Nice-to-have qualifications:

Google Cloud certifications, particularly Professional Cloud Architect or equivalent.

Experience with multi-cloud, hybrid-cloud, and complex enterprise integration environments.

Familiarity with formal enterprise architecture methodologies, such as TOGAF.

Experience designing and delivering production machine learning platforms, generative AI applications, or agentic systems.

Previous experience in technology consulting, professional services, or client-focused engineering environments.

Benefits

Competitive compensation package.

Fully remote working environment, with the opportunity to work from anywhere in Canada.

20 days of paid vacation annually.

Provincial public holidays.

5 wellness days for sickness, personal needs, or mental health.

5 additional lifestyle days for religious events, volunteering, or personal circumstances.

Matching group retirement savings plan after three months of employment.

Comprehensive group insurance coverage from day one, with 100% of individual premiums covered by the employer.

How Jobgether works

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.

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