Senior Backend Engineer

Accountabilities:: Own major components of a new SaaS platform from initial design through production, taking responsibility for technical decisions, implementation, delivery, and ongoing operation. Design and build event-sourced, CQRS-based backend services using C# and .NET, applying Domain-Driven Design principles to create maintainable and scalable domain models. Design clean domain models, message contracts, and integration patterns using asynchronous messaging technologies such as RabbitMQ. Develop cloud-ready backend solutions using Docker and AWS, with a strong focus on deployment, observability, reliability, scalability, and operational excellence. Apply an AI-first approach to software engineering by using agentic AI tools, automated workflows, code generation and review, automated test generation, and other productivity accelerators. Partner with product and engineering leadership to define architecture, technical standards, engineering practices, and delivery approaches for the new platform. Produce high-quality, well-tested, maintainable code while contributing to code reviews, technical discussions, mentoring, and continuous improvement across the engineering team. Requirements: Senior-level professional experience building and operating production systems using C# and .NET, with strong software engineering fundamentals. Practical, hands-on experience implementing Event Sourcing and CQRS in real-world production systems, with an understanding of their architectural trade-offs and applications. Strong working knowledge of Domain-Driven Design (DDD), including domain modeling and the design of maintainable service boundaries. Experience with Vertical Slice Architecture or comparable approaches for creating modular and well-defined service boundaries. Solid experience working with PostgreSQL and designing data solutions for production applications. Experience with asynchronous messaging and distributed integration patterns, ideally using RabbitMQ or a comparable messaging platform. Hands-on experience containerizing and deploying services using Docker and building or operating cloud-hosted applications, preferably on AWS. Practical experience using AI tools to accelerate software development, combined with an AI-first mindset and willingness to incorporate AI into everyday engineering workflows. Familiarity with agentic AI concepts, including autonomous workflows, tool-using agents, orchestration, evaluation, and guardrails. Strong ownership mindset, with the ability to take responsibility for what you build, improve systems continuously, operate production services, and provide technical leadership. Experience with MartenDB or Wolverine is considered an advantage. Experience designing multi-tenant SaaS platforms, including authentication, billing, tenant isolation, scalability, and observability, is a strong plus. Familiarity with modern DevOps and infrastructure-as-code practices, such as Terraform or CDK, as well as CI/CD and distributed tracing, is an additional advantage. Benefits: Competitive salary range of CAD $130,000–$170,000 per year, depending on experience and qualifications. Fully remote work from Canada. Full-time employment with a regular employment structure. Approximately 37.5 scheduled hours per week. Opportunity to work on a new SaaS product from its earliest stages and directly influence its technical foundation. Opportunity to work in an AI-first engineering environment using agentic AI, automation, and modern development practices. Strong exposure to modern cloud-native technologies, including AWS, Docker, PostgreSQL, RabbitMQ, and advanced backend architecture patterns. Opportunities for technical leadership, mentorship, and participation in architectural and engineering decisions.