Software Engineer II

Microsoft Microsoft · Big Tech · Dublin, D, Ireland · Software Engineering

Software Engineer II role at Microsoft in Dublin, Ireland, focusing on full-stack and backend development for mission-critical services across various Microsoft organizations. The role involves designing, developing, testing, and shipping large-scale solutions, with an emphasis on quality, performance, and maintainability. While the role mentions AI infrastructure and AI tooling, the core craft is software engineering, not AI/ML model development.

What you'd actually do

  1. Work with engineers, program managers, designers, and partners to deliver sets of features with the right overall design and architecture.
  2. Own and deliver complete feature areas and large-scale solutions including design, architecture, implementation, testability, debugging, and shipping with secure long-term support.
  3. You will be responsible for sharing insights and best practices that can be applied to improve development and influence direction across related sets of systems, platforms, and/or products.
  4. Continue to develop your approaches through interactions with more experienced team members and continually reviewing processes to ensure efficiency.
  5. Provide mentorship and coaching to more junior engineers to help them identify and propose relevant solutions.

Skills

Required

  • C/C++
  • C#
  • Java
  • TypeScript
  • .NET
  • Node
  • RESTful APIs
  • HTTP
  • SOAP
  • MVC
  • designing, developing, testing, and shipping solutions to large scale technical problems
  • designing and deploying systems and services powered by AI infrastructure

Nice to have

  • design and develop loosely coupled, componentized, and unit-tested software
  • deal with ambiguity and understand key business needs
  • quickly get up-to-speed and be productive on new technical domains
  • analytical, problem-solving, and debugging skills
  • object-oriented design
  • coding patterns
  • testing practices
  • use AI tooling to reduce cycle time and boost throughput

What the JD emphasized

  • building libraries, SDKs and other components
  • designing and deploying systems and services powered by AI infrastructure
  • scalability, reliability, and performance in production environments
  • use AI tooling to reduce cycle time and boost throughput