Build AI-Powered Modernization Experiences: Design and implement agentic experiences that help developers understand, plan, execute, and validate software modernization work across complex applications and codebases. Architect for Scale and Sustainability: Design and evolve durable, scalable architectures for modernization agents and supporting services, balancing rapid innovation with long-term maintainability, reliability, security, and performance. Direct Engineering Impact: Lead by example by producing high-quality, extensible, and maintainable code. Establish and apply engineering practices, metrics, testing strategies, and coding patterns that improve product quality and accelerate development. Advance AI-First Engineering: Explore and apply advances in AI, models, agents, tools, and software engineering techniques to improve the effectiveness and autonomy of modernization workflows while maintaining appropriate developer control and trust. Integrate Across the Developer Workflow: Build capabilities that connect modernization agents with repositories, build and validation systems, developer tools, and other engineering workflows to create cohesive end-to-end modernization experiences. Build Foundational Capabilities: Develop reusable components, agent capabilities, tools, and platform building blocks that enable the team and partner organizations to rapidly expand modernization scenarios. Foster Engineering Alignment: Work across engineering teams and partner organizations to drive clarity, technical alignment, and shared ownership of architecture, interfaces, and modernization experiences. Champion Customer-Centric Development: Engage directly with developers, product teams, and enterprise customers to understand modernization challenges, incorporate feedback, and ensure that product investments address meaningful real-world problems. Operational Excellence: Maintain a high bar for reliability, security, privacy, performance, and responsible AI. Use telemetry and customer signals to continuously improve the quality and effectiveness of modernization 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 These requirements include, but are not limited to the following specialized security screenings: Experience designing, developing, and operating large-scale software systems, developer platforms, or developer tools. Experience building AI-powered applications, agents, or workflows using large language models and related AI technologies. Experience working with developer ecosystems, including source repositories, build systems, CI/CD, testing, code analysis, or developer tooling. Experience working across multiple programming languages, frameworks, or application architectures and an understanding of the challenges involved in evolving and modernizing existing software. Experience leading significant engineering projects, driving technical design, collaborating across teams, and delivering complex capabilities from concept through production. Demonstrated ability to use customer feedback, telemetry, experimentation, and engineering metrics to improve product quality and developer experience.