Backend Engineer

This is a fully remote position, open to applicants in Canada, +2 more countries.

📋 Description

• Design and develop dependable, thoroughly tested core backend services, APIs, orchestration, and access control mechanisms.

• Influence API design and enhance the developer experience for both internal and external platform users.

• Contribute to reference architecture and design documentation while ensuring clean, interchangeable boundaries.

• Create multi-tenant SaaS infrastructure that incorporates isolation, quotas, and usage metering.

• Develop reliable, idempotent data and integration on-ramps, connector frameworks, and regulated data access at scale.

• Take full ownership of services, covering design, implementation, testing, deployment, and on-call responsibilities.

• Model failure scenarios such as partial failures, retries, consistency, and back-pressure.

• Collaborate with product teams and customers to validate results, outcomes, and overall value.

• Implement metrics and measure impact, using data to inform delivery decisions.

• Integrate automated QA, quality gates, and regression tests into the delivery pipeline.

• Engage in hiring, interviews, mentoring, and fostering team development.

• Collaborate with product teams across the portfolio on their strategic roadmaps.

⛳️ Requirements

• Experience with production distributed systems: developed and maintained production backend or distributed services relied upon by other teams.

• Full ownership of correctness, testing, and operational aspects.

• Ability to articulate system designs through the trade-offs made, beyond just the technologies employed.

• Strong communication skills with engineers, product partners, and customers.

• Focused on outcomes and value, making pragmatic decisions to ensure timely delivery.

• Bonus: experience in multi-tenant SaaS, gateways and orchestration at scale, integration frameworks (API/EDI/CDC), production LLM-backed services, C#/.NET or Python; knowledge of Go is a plus, architectural experience, enterprise-scale software, and effective use of AI coding assistants.

• Proven experience and the scope of work valued over years served.

• No specific educational credentials required.

🏝️ Benefits

• Competitive salary and performance-based incentives.

• Flexible working hours and remote work options.

• Opportunities for professional development and career advancement.

• Collaborative and innovative work environment.

• Health and wellness programs.