Senior Software Engineer
BuildOps
- Toronto, Canada
- Senior Level
- 5+ years
- Bachelor's degree
- Posted
Skills
Required
- frontend
- software engineering
- M.S
- AI-assisted development
- React
Preferred
- cloud
- integrations / internal platform capabilities / data pipelines
- cloud infrastructure / Kubernetes / Docker / infrastructure-as-code tooling
- TypeScript
- JavaScript
- Python
- Kafka
- Elasticsearch
- AI
BuildOps as a Senior Software Engineer and help build and scale product experiences and systems that have a real impact on the industry. In this role, you will work across frontend applications, backend services, APIs, and integrations, partnering closely with Engineering, Product, and Design to solve complex problems and deliver high-quality software. You will own projects through the full lifecycle, write clean and maintainable code, design systems with observability and reliability in mind, and mentor less-experienced engineers. This is a fast-paced startup environment where you will have the opportunity to shape systems, engineering practices, and team culture.
Responsibilities
- Concevoir, construire et maintenir des fonctionnalités et des systèmes de produits de haute qualité à travers les applications frontend et backend.
- Posséder des projets tout au long de leur cycle de vie, de la conception technique et de la mise en œuvre jusqu'au déploiement, à la surveillance et à la maintenance à long terme.
- Collaborer avec les chefs de produit, les concepteurs et les ingénieurs pour traduire des problèmes ambigus en plans techniques clairs et en jalons bien définis.
- You should be energized by building in a fast-moving environment, mentoring others, and using AI as a practical force multiplier in your day-to-day work
- Clear written and verbal communication skills, especially in design docs, technical tradeoff discussions, and stakeholder updates
- Strong debugging and problem-solving skills, including the ability to identify root causes and simplify systems over time
- Solid understanding of databases, data modeling, and tradeoffs across relational databases
Requirements
- This role is a strong fit for someone who enjoys owning meaningful technical problems end to end, navigating ambiguity with sound judgment, and helping raise the bar for engineering quality across the team
- B.S., M.S., or Ph.D. in Computer Science, Engineering, or a related technical field from a top university
- Practical experience using AI-assisted development tools to improve engineering throughput, learning speed, and quality of execution
- Comfort working in a fast-paced startup environment where priorities evolve and strong judgment matters
- Strong software design instincts, including how to decompose complex business problems into maintainable technical solutions
- Demonstrated ability to work cross-functionally and drive alignment with stakeholders beyond your immediate team
- Strong software engineering fundamentals with experience building product features across frontend and backend systems
- A track record of mentoring teammates and helping raise the quality bar on engineering teams
- 5+ years of software engineering experience building and operating production systems at scale
- Experience building reliable APIs, services, and user-facing applications in a modern production environment
- A strong sense of ownership, urgency, and accountability for both shipping and operating software successfully
- Experience owning projects with meaningful ambiguity and making good technical decisions with incomplete information
- Experience working with modern web application patterns and building polished customer-facing product experiences
- Experience with React or similar frontend frameworks
Preferred
- Experience with cloud infrastructure, Kubernetes, Docker, or infrastructure-as-code tooling
- Experience with TypeScript, JavaScript, Python, or other modern application stacks
- Familiarity with Kafka, Redis, Elasticsearch, or other event-driven and high-throughput systems
Experience with AWS or similar cloud platforms
- Experience in SaaS, vertical software, or systems that support operational workflows
- Experience building integrations, internal platform capabilities, or data pipelines
- Experience using Claude Code or similar AI coding agents in day-to-day development workflows
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