This role is responsible for specific SaaS products and focuses on applying platform recommended best practices to build solutions to solve business problems. As well as working within platform standards to build integrations and full software solutions where necessary. With a focus on quality, security, and performance. They are also responsible for configurations and maintenance of the assigned SaaS products. Increasingly, this role leverages the Microsoft Azure cloud platform and Microsoft AI services—including Azure OpenAI Service and Microsoft Copilot—to extend the assigned SaaS products with secure, intelligent, cloud-native capabilities. The role involves building and maintaining forms, fields, tables, apps, components, and dashboards using out-of-the-box tools, as well as configuring and maintaining features, modules, and environments according to development and business needs. It applies the SDLC to all custom apps and components integrated with the platform, supports the deployment of solutions according to platform standards and best practices, and builds and maintains workflows to manage business processes. The role also promotes credit union coding standards and platform best practices for development, builds platform extensions through scripts, components, business rules, plugins, and solutions, and participates in collaborative code review and solution review sessions. It involves creating unit tests, assisting quality engineers with automated integration and UI tests, and promoting best practices and standards for the platform. Collaboration within a Scrum team, with Product Management, and Business Stakeholders is key, as is meeting end-user needs professionally and communicating effectively. The role contributes to documentation, commits to continuous learning, and stays current with SaaS product roadmaps, emerging technologies, and development techniques. It also assists in diagnosing and resolving production issues and designs, builds, and integrates AI-powered features using Microsoft AI services, following responsible-AI principles and security standards. Building and deploying cloud-native integrations and services on Microsoft Azure with automated CI/CD pipelines is also a responsibility.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Mid Level