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Role detail
Independently uses appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner. Takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same. Uses SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to improve processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities. Leads by example within the team to produce extensible, maintainable, well-tested, secure, and performant code that adheres to design specifications. Continuously improves code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Applies metrics to drive code quality and stability. Applies appropriate coding patterns and best practices (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Identifies and escalates blockers or unknowns during the development process, communicates how they will impact timelines, and identifies strategies and/or opportunities to address them. Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area. Brings insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills. Conducts code reviews in a timely fashion that helps accelerate the pace of development on the team. Considers diagnosability, reliability, testability, and maintainability when reviewing code, and understands when code is ready to be shared or delivered. Applies and reviews for coding patterns, security risks, compliance issues, and best practices in code reviews, providing feedback on code to drive adherence to best practices. Uses automated source code analysis tools that are incorporated into the build/development process. Uses debugging tools, tests, logs, telemetry, and other methods to proactively verify assumptions while developing code before issues occur for products in production. Conducts incident retrospectives to identify root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence. Independently applies least-access principles, uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security, and drives those practices across the team. Leads discussions for and owns the architecture of a products/solutions and creates proposals for architecture by testing design hypotheses and develop complex design specifications. Tests and explores various design options for a complex product/solution scenario, outlining strengths and weaknesses of each option. Independently collaborates with architects to build and modify complex products/solutions, providing feedback as needed. Owns or collaborates with other engineers on the architecture of solutions, with minimal technical oversight. Develops design documents that support user stories and other product requirements. Maintains awareness of the current technology landscape, and determines how to integrate these technologies within existing systems. Shares learnings and identified solutions from investigations with the team and owns for some design decisions. Ensures system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), disaster recovery, and other requirements and expectations. Understands and coaches less experienced engineers on the importance of building solutions that expand upon the work of others. Drives the refinement of products through data analytics, and makes informed decisions in engineering products through data integration. Reviews designs/architectures within and across teams to provide recommendations for improvements. Drives efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility. Creates and assures the presence of visible evidence (e.g., audit trail) to demonstrate compliance for products. Demonstrates and maintains an up-to-date understanding of both global and local regulations for technologies and system applications to ensure regulations are followed and met. Acts as a designated responsible individual (DRI) and guides other engineers by developing and following the playbook, working on-call to monitor a system/product/service for degradation, downtime, or interruptions. Alerts stakeholders as to status and initiates actions to restore system/product/service for simple problems and complex problems when appropriate. Responds within service level agreement (SLA) timeframe. Drives efforts to reduce incident volume, looking globally at incidences and providing broad resolutions. Escalates issues to appropriate owners. Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, or C++. These requirements include but are not limited to the following specialized security screenings: Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, or C++. OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, or C++. OR equivalent experience. Experience in modern security technologies such as OpenSSL, NCrypt, OpenID, Entra, WebAuth and Yubikey. Experience in cyber security, responsible disclosure practices, and how to evaluate and mitigate risks. Experience in Windows Internals and distributed systems.