• Design, build, and maintain high-quality software systems and services • Work on a variety of technologies, frameworks, and platforms, adapting quickly as project needs evolve • Solve complex technical and logical problems with efficient and well-structured solutions • Leverage AI-powered development tools to accelerate development, debugging, research, and documentation • Collaborate with engineers, architects, and product stakeholders to deliver reliable solutions • Participate in code reviews, testing, and performance improvements • Continuously learn and experiment with new programming languages, frameworks, and technologies • Contribute ideas that improve engineering productivity, automation, and innovation.

• Own core ledger infrastructure: design, build, and evolve the systems that record financial transactions accurately and durably, using Java/Kotlin in a microservices architecture. • Model financial correctness by translating double-entry bookkeeping principles and accounting logic into clean, testable, auditable code that Finance and Compliance can trust. • Handle high-throughput transaction processing and design systems that maintain strong consistency guarantees under load without sacrificing performance. • Drive audit trails and compliance reporting so every transaction is traceable, every state change is logged, and every report is reproducible. • Collaborate broadly across Wealthsimple — partnering with product teams to ensure their transactions are properly recorded, and supporting Finance, Accounting, Audit, Brokerage Operations, and Customer Service with the tooling and data they need to do their jobs. • Contribute to the roadmap by bringing your domain expertise to planning conversations. You'll have meaningful input on what gets built and why, not just how. • Define what "correct" looks like for ledger systems, and build the observability, alerting, and reconciliation tooling to prove it continuously.

• Design, develop, test, and maintain software applications and system components supporting business and technical requirements. • Develop and maintain front-end application components using React or similar front-end frameworks. • Build and support back-end functionality and APIs using Python-based technologies and frameworks. • Develop, maintain, and optimize SQL queries, databases, and data structures to support application performance and reporting needs. • Participate in the full software development lifecycle, including requirements analysis, design, development, testing, deployment, and ongoing maintenance activities. • Collaborate with technical teams, stakeholders, and users to understand requirements and translate business needs into technical solutions. • Develop and execute unit tests and support broader testing activities to ensure application quality and reliability. • Utilize source control and version management tools to maintain code integrity and support collaborative development practices. • Support DevOps processes and automated build, integration, and deployment activities where applicable. • Troubleshoot software issues, identify root causes, and implement corrective actions. • Maintain technical documentation, including system designs, implementation details, and operational procedures. • Continuously evaluate and adopt new technologies, tools, and techniques to improve development processes and system capabilities.

• Contribute to backend and/or full-stack feature development, testing, and release for core products/platforms, delivering production-ready code. • Collaborate with senior engineers on module design, API/interface definition, system integration, and deployment (including logging, monitoring, and performance optimization). • Write and maintain automated tests and CI/CD-related configurations to improve development efficiency and code quality. • Support the engineering deployment of AI/LLM capabilities based on business needs, such as integrating LLM APIs, building basic RAG pipelines, and embedding tool/agent capabilities into existing systems. • Help build and maintain datasets and benchmarks for evaluation/regression, track online performance, and assist with debugging and fixing issues. • Produce necessary technical documentation and communicate effectively across teams.