Software Engineer II

United StatesPosted Aug 7, 2026

Build and operate scalable, reliable, distributed services on Azure using modern frameworks and event-driven architectures. Apply JavaScript experience to design and maintain efficient, reliable data instrumentation mechanisms that ensure accurate, performant, and privacy-conscious analytics with minimal impact on customer websites. Contribute to analytics data quality by improving the accuracy, coverage, and efficiency of data collection for features you work on, ensuring trustworthy insights while respecting performance and privacy constraints. Implement AI‑forward product features and use AI‑assisted engineering tools within the SDLC, applying engineering fundamentals to deliver reliable and secure outcomes with appropriate accountability. Participate in engineering excellence practices including design discussions, code reviews, testing, and operational readiness, helping improve system resilience with minimal customer impact. Collaborate closely with product team to ship end‑to‑end features, contribute to architectural discussions, and uphold a high quality bar. Embody our Culture and Values. 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 These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 2+ years experience building scalable services on top of public cloud infrastructure like Azure, AWS, or GCP. Understanding of web performance, accessibility, and cross‑browser compatibility. Experience with Development & Debugging with dev environments like Visual Studio or Visual Studio Code. Familiarity with large language models (LLMs) and artificial intelligence (AI) ChatBots. Prompt Engineering, Azure DevOps, GIT. Problem‑solving skills and ability to work independently. Experience in leading technical projects and supporting architectural decisions with data.

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