Senior Full-Stack Engineer

We hire for potential as much as experience. If this role excites you but you don’t check every box, we still want to hear from you. At Prophix, people who ask good questions, adapt quickly, and bring a fresh perspective often make the biggest impact.

Required Qualifications

5+ years of professional software development experience building production-grade distributed applications.

Strong proficiency in C# and .NET/Core, with hands-on experience using PostgreSQL and Entity Framework (or a comparable ORM/data-access pattern).

Demonstrated expertise in microservices or modular-monolith architectures and domain-driven design patterns.

Cloud-native AWS experience with services including Lambda, SQS, Aurora Serverless (PostgreSQL), and S3.

Proficiency in both Windows and Linux environments for developing and managing complex distributed systems.

Solid command of Git source control and continuous integration tooling.

Practiced in unit and integration testing with an agile and test-driven development mindset.

Post-secondary degree in computer science, software engineering, or a related discipline — or equivalent professional experience.

Strong written and verbal English communication skills and the ability to collaborate effectively across technical teams.

Must be legally entitled to work in Canada.

Must be legally entitled to work in the country where this role is located

Comfortable using AI tools responsibly to support tasks such as research, drafting, and data review

Able to learn new tools and adapt as technology and workflows evolve.

Curious, open to new approaches, and motivated to continuously improve.

Collaborative mindset when working across teams and with AI supported tooling.

Preferred Qualifications

Experience operating PostgreSQL on a serverless or auto-scaling managed offering such as AWS Aurora Serverless at production scale.

Exposure to OLAP or multi-dimensional data models, and/or event-driven architecture (message queues, pub/sub) beyond basic usage.

Understanding of identity and access management principles including OAuth2/OIDC, JWT, SSO, and MFA.

Experience building or consuming LLM/agent tooling (MCP or comparable) — an emerging and actively growing area of the Prophix platform.

Academic or practical knowledge of corporate financial concepts such as planning, budgeting, forecasting, or consolidation.

30 days: You know our platform, our customers, and how your team operates. You’ve completed onboarding and are contributing to live work.

90 days: You’re working independently, owning deliverables end to end, and building relationships across functions and regions.

6 months: Your fingerprints are on something real. You’ve improved a process, shipped something meaningful, or earned a seat at the table on a decision that matters.

Prophix is headquartered in the GTA, so joining our team puts you close to where decisions are made, strategy is set, and careers are built. You’ll collaborate across North America, Europe, and Australia, developing breadth you simply can’t get at a single market company. Our people move across functions, work directly with customers in different industries, and take on meaningful challenges early. We’re a company that competes on talent. That means we invest in the people who show up curious, move fast, and want to leave things better than they found them. Our values are Pursue Excellence, Build with Purpose, Create Wins for All, and Drive Continuous Innovation, and they guide how we actually make decisions.

If you’re looking for a place where your work touches real products, real customers, and real decisions, and where your career can grow in the direction you choose. We would love to meet you. Apply and let’s talk about what’s possible.

Accessibility & AI Transparency

Prophix promotes an accessible hiring process. If you need accommodation at any stage, we’ll work with you. Some interviews may be recorded so our hiring team can review and assess responses fairly and consistently. As part of our commitment to Responsible AI, we use a small number of AI-supported tools to help with tasks like resume review, shortlisting, or creating interview summaries. AI is never used as the sole basis for hiring decisions, and your personal data is never used to train AI models. If you'd prefer not to take part in any AI-assisted step, just let us know and we’ll be happy to accommodate.