Senior Back End Engineer Java/OLAP

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 Java development experience, including production experience with a JVM-based OLAP or multi-dimensional data engine such as Atoti/ActivePivot or a comparable technology.

Strong understanding of multi-dimensional data modeling: dimensions, hierarchies (including parent-child and alternate hierarchies), measures, and aggregation semantics.

Demonstrated experience profiling and optimizing JVM applications for latency and throughput under real production load.

Proven ability to design and evolve a service contract consumed by a separate application — in this case a .NET service — without breaking existing consumers.

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

Fluency with Git source control and CI/CD workflows.

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

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

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

Direct, hands-on experience with Atoti/ActivePivot specifically, beyond general JVM-based OLAP familiarity.

Exposure to the .NET ecosystem sufficient to collaborate effectively across a polyglot service boundary.

Experience with PostgreSQL as the underlying data store for an OLAP layer, ideally on a managed or serverless offering such as AWS Aurora Serverless.

Academic or practical knowledge of corporate financial concepts — planning, budgeting, forecasting, or consolidation — to better understand the calculations this engine is built to serve.

Experience with cloud-native deployment of JVM services on AWS, including containerization.

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.

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.