Senior Full Stack Engineer (Automation)

At Prophix, we’re building the platform that helps finance teams stop managing spreadsheets and start driving strategy. Prophix One™ brings planning, reporting, consolidation, and automation together in a single place, and we are expanding its AI capabilities faster than ever. If you want to work on a product that genuinely changes how finance teams operate, and do it alongside people who care about getting it right, this is where you want to be.
We’re headquartered in the Greater Toronto Area, with teams and offices across North America, Europe, and Australia. Trusted by more than 3,000 finance teams across 100+ countries, Prophix One™ is built for organisations that want to plan smarter and move faster.
As a Senior Engineer on the FP&A Plus platform, you will design, build, and maintain the modular .NET capabilities that more than 2,500 finance teams around the world rely on every day for budgeting, reporting, and integrated financial planning. Working within a collaborative agile team alongside engineers, product managers, and QA specialists, you will own meaningful slices of a large, domain-driven modular-monolith — shipping high-quality, testable code that directly shapes how finance professionals plan and make decisions. This is a role for an engineer who takes pride in correctness, cares about architecture, and wants their work to matter at scale.

Design and build new features within one or more FP&A Plus bounded-context modules (budgeting, workflow, reporting, journal management, data import, and more), following established Abstractions / implementation / UnitOfWork / UnitTests patterns.
Write efficient, correct data-access code against AWS Aurora Serverless (PostgreSQL), applying a clear understanding of its auto-scaling capacity model, connection-pooling behaviour, and timeout semantics rather than assuming fixed-capacity database behaviour.
Build and consume event-driven integrations using AWS SQS via MassTransit and scheduled workflows via Quartz.NET as part of cross-module feature delivery.
Apply the platform's module-flag-based authorization model correctly when building new endpoints or MCP tools that interact with tenant data.
Ensure quality through automated testing with xUnit, Moq, and FluentAssertions in a continuous integration environment, including integration tests tagged for the DB-integration test suite where appropriate.
Investigate and resolve defects across pre-production, production, and post-release patches with thorough root-cause analysis rather than surface-level fixes.
Contribute to code reviews, architecture discussions, and performance tuning of data-heavy operations within your module area.
Coordinate cross-module technical dependencies, clearly defining and respecting cross-module contracts in a large, distributed modular system.
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).
• 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.
• Comfortable using AI tools responsibly to support tasks such as research, drafting, and data review
• Collaborative mindset when working across teams and with AI supported tooling.

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.
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.

You know our platform, our customers, and how your team operates. You’re working independently, owning deliverables end to end, and building relationships across functions and regions.
~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. Our people move across functions, work directly with customers in different industries, and take on meaningful challenges early. Our values are Pursue Excellence, Build with Purpose, Create Wins for All, and Drive Continuous Innovation, and they guide how we actually make decisions.
The total target compensation for this role is $145,000CAD to $165,000CAD, in accordance with applicable pay transparency laws. Actual compensation will be determined based on factors such as skills, experience, location, and internal equity.

Comprehensive health, dental, vision, and mental-health coverage
Retirement savings with employer contributions
Parental leave top-up
Generous paid time off including vacation and sick time
Social events, team activities, and opportunities to build community
Opportunities to participate in Environmental, Social, and Governance (ESG) initiatives
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. Accessibility & AI Transparency
If you need accommodation at any stage, we’ll work with you. 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.