Software Engineer II - Finance Data & Experiences

Support and influence the team culture customer-centricity and continuous improvement. Implement practices that ensure accurate, safe, and efficient releases for our services. Implement and maintain excellent design and development processes. Use AI in your daily coding and advocate to the team and customers an evolving state-of-the-art of how best to do this. Collaborate with others to solve complex problems keeping pace with our global business. Leverage sound engineering practices and principles. Flight code changes, use telemetry and analytics to take a understand customer impact. Provide technical feedback to our product engineering partners to evolve and mature our Azure services and Power Platform. Work with multiple client partner teams to implement cohesive end-to-end experiences. 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. 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. Experience delivering large-scale, production-quality software systems. Solid software engineering fundamentals, including system design, algorithms, testing, debugging, and code review. Ability to lead technical direction and mentor engineers in a collaborative team environment. Comfort operating in ambiguous, fast-paced environments where best practices are evolving. Hands-on experience with AI-powered developer tools and coding assistants, such as GitHub Copilot (and Copilot Workspace), OpenAI Codex/ChatGPT, Claude Code, or Cursor. Familiarity with agentic AI development patterns, including multi-step reasoning, tool/function calling, retrieval-augmented generation (RAG), and human-in-the-loop workflows. Experience building with large language models (LLMs), prompt engineering, agent frameworks, or orchestration tools (e.g., LangChain, Semantic Kernel, AutoGen, or similar). Experience working with agentic systems, including plugins, agents, skills, or hooks. Background in developer tooling, build systems, CI/CD pipelines, or large-scale engineering infrastructure.

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