Software Engineer II

Build and ship across the full stack (frontend, backend, services, and data pipelines), taking end-to-end ownership of features rather than being limited to a single layer or specialty. Use AI tooling and coding assistants (such as GitHub Copilot and agentic coding workflows) as part of your everyday engineering to accelerate delivery, improve code quality, and expand what you can own single-handedly. Apply large language models (LLMs) and generative AI to product and engineering problems: prototyping, evaluating, and integrating AI-powered capabilities, prompts, and automation into our app, web, and service surfaces. Design and maintain automation and test harnesses that make our build, validation, and release processes faster and more reliable, and continuously look for opportunities to automate manual work. Own a workflow area end to end (such as platform, accessibility, security, or service health), defining best practices, tooling, and quality bars, and driving measurable improvement in that area. Modernize how we build and deploy on Azure using Infrastructure-as-Code (IaC) and CI/CD pipelines, and integrate quality, security (SDL), privacy, and accessibility gates directly into those pipelines. Proactively monitor reliability and performance using Azure Monitor and similar tooling, define SLIs/SLOs, build service-health dashboards, and participate in the on-call rotation for the services millions of customers depend on. Drive work to closure with urgency, stay focused on the highest-impact priorities, share what you learn about AI and automation with the team, and communicate status, risks, and decisions proactively across partner teams. Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. …

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