Senior Developer

Role overview

Engineering and operations

• Design, develop, and test scalable cloud-native microservices for the SAP Order Management platform.
• Build AI-native components, RAG pipelines, agentic workflows, and frameworks to evaluate AI quality, reliability, and performance.
• Optimize latency, throughput, and cost; improve scalability, resilience, and maintainability.
• Implement monitoring, alerting, incident response, root-cause analysis, and other SRE and observability practices.
• Write unit, integration, and contract tests; contribute to sprint work, reviews, deployments, and CI/CD automation.
• Troubleshoot complex production issues across application, integration, and infrastructure layers and drive permanent fixes.

Technical leadership and collaboration

• Establish coding standards, lead code reviews, promote test automation, and mentor less-experienced engineers.
• Partner with architects, product managers, developers, platform, data, and AI teams to deliver production-ready solutions.
• Use AI-assisted tools across the development lifecycle, validating generated code and setting team standards for responsible, effective use.
• Document work, share knowledge, guide design and quality, and own systems through production operation.

Qualifications

• A bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent functional experience.
• At least 6 years of professional software development experience.
• Expert-level Java; proven REST API design and asynchronous messaging experience, such as Kafka or similar.
• Deep experience with distributed systems, scalable application design, LLMs, advanced RAG, and agentic workflows.
• Professional experience with AI-assisted development tools and fluency across design, coding, testing, and observability.
• Experience with CI/CD tooling such as Kubernetes, Jenkins, GitHub Actions, or ArgoCD; knowledge of relational and/or NoSQL databases.
• Knowledge of microservices and cloud-native patterns, clean code, system resilience, performance optimization, and production troubleshooting.
• Solid SRE, observability, and incident-management knowledge; experience evaluating AI systems and validating model behavior.
• English proficiency is required for positions based in Quebec.

Preferred knowledge and skills

• Spring Boot experience is preferred.
• OMS concepts such as order capture, fulfillment, ATP, and returns are nice to have.
• Knowledge of SAP BTP and Azure, and open-source contributions, are nice to have.
• The role values communication, collaboration, complex problem solving, cloud architecture, observability, and AI-assisted engineering judgment.

About the team