Software Engineer - Ctj - Poly

Microsoft Microsoft · Big Tech · Reston, VA +3 · Software Engineering

Software Engineer role focused on AI-Native Development within the Cloud+AI Azure Data Team. The role involves using AI tools in the SDLC, ensuring security and compliance in a regulated, air-gapped environment, and contributing to the development of data platform services for AI-powered applications. The position emphasizes secure and reliable coding practices, code reviews, and testing within a disciplined engineering framework.

What you'd actually do

  1. 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 changes to artifacts, reviewing all changes and applying appropriate tooling and processes with minimal guidance.
  2. Supports efforts to use debugging, tests, tools, logs, telemetry, and other methods to proactively verify assumptions before issues occur for product features in production. Conducts incident retrospectives to identify root causes of problems, implements repair actions, and identifies mechanisms to prevent incident recurrence with minimal supervision. Under minimal guidance, applies least-access principles, and uses logging, telemetry, and other appropriate mechanisms to investigate issues while retaining privacy and security.
  3. Reviews product feature code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product feature. Contributes to bringing insight to code reviews to help improve code quality, coaching and providing feedback to develop other engineers' skills with minimal guidance. Contributes to 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. Uses automated source code analysis tools that are incorporated into the build/development process with minimal supervision.
  4. Creates and implements code for a product, service, or feature, reusing code as applicable with minimal supervision. Writes and learns to create code that is extensible and maintainable. Considers diagnosability, reliability, and maintainability with few defects, and understands when the code is ready to be shared and delivered. Applies coding patterns and best practices to write code (e.g., leveraging state-of-the-art generative artificial intelligence [GenAI], approaches to source code organization, naming conventions). Escalates identified blockers or unknowns during the development process, communicates how they will impact timelines, and contributes to identifying strategies and/or opportunities to address them with minimal supervision.
  5. Understands and provides feedback for proposals for architecture, with technical leadership from others. With minimal supervision, tests and explores various design options for a product/solution feature, outlining strengths and weaknesses of each option. Collaborates with architects with minimal supervision to build and modify a product/solution feature, providing feedback as needed. Begins to own or collaborate with other engineers on the architecture of solutions, following technical leadership as applicable. Contributes to the development of design documents that support user stories and other product requirements with oversight. Develops an awareness of the current technology landscape. Escalates and shares findings from investigations with the team and owns some design decisions. Helps to ensure system architecture and individual designs meet performance, scalability, resiliency, cost of goods sold (COGS), and other requirements and expectations. Upholds Microsoft standards of security, privacy, and other compliance requirements and expectations. Understands the importance of building solutions that expand upon the work of others. Contributes to the refinement of product features by escalating findings from analyses to inform decisions regarding the engineering of products.

Skills

Required

  • Software development lifecycle (SDLC)
  • AI tools and practices
  • Debugging
  • Testing
  • Code reviews
  • Coding patterns and best practices
  • System architecture
  • Security
  • Privacy
  • Compliance

Nice to have

  • Generative AI (GenAI)

What the JD emphasized

  • Secure Work Area
  • Air-Gapped environment
  • security policy and assurance requirements
  • regulated industries
  • security, privacy, and other compliance requirements

Other signals

  • AI-Native Development
  • AI tools and practices across the SDLC
  • AI-generated changes to artifacts
  • leveraging state-of-the-art generative artificial intelligence [GenAI]