Full-Time Principal Software Architect
Wiser Solutions is hiring a remote Full-Time Principal Software Architect. The career level for this job opening is Expert and is accepting Toronto, Canada based applicants remotely. Read complete job description before applying.
Wiser Solutions
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As Principal Software Architect, you will serve as a senior technology leader who connects strategic vision with hands-on execution. This role is ideal for an architect who thrives in guiding large-scale platform evolution, mentoring technical teams, and solving complex engineering problems with practical, modern solutions.
Responsibilities:
- Architectural Leadership & Strategy: Partner with the Chief Architect to align vision and shape long-term technology strategy.
- Cloud & Platform Excellence: Design and deliver cloud-native, Kubernetes-based solutions with deep AWS expertise.
- Cross-functional Collaboration: Partner with product, engineering, and leadership to balance technical excellence with business priorities.
- Hands-on Technical Delivery: Design and implement key platform components when needed.
Experience & Leadership:
- 10+ years of progressive experience in software architecture, including several at a senior/principal level
- Demonstrated ability to influence and shape architectural direction at organizational scale
- Strong leadership and mentoring skills with the ability to inspire without direct authority
Technical Expertise:
- Deep expertise in AWS and Kubernetes
- Experience with multiple cloud vendors and multi-cloud approaches
- Strong DevOps/CI-CD background, with hands-on experience in Terraform
- Expertise in modern architectural patterns: microservices, hexagonal, DDD, bounded contexts, and event-driven approaches represented
- Strong programming background (TypeScript, Node.js, or Python preferred; Go a strong bonus)
Essential Soft Skills:
- Exceptional communicator – able to simplify complexity for different audiences
- Trusted mentor and role model with a “lead by example” approach
- Adaptable and resilient in fast-changing, ambiguous environments