Expoint - all jobs in one place
The point where experts and best companies meet
Limitless High-tech career opportunities - Expoint

Microsoft Principal Software Engineer 
United States, Washington, Redmond 
345232206

Today
Qualifications

Required/Minimum Qualifications

  • Bachelor's Degree in Computer Science, or related technical disciplineAND 6+ years technical engineering experience with coding in languages including, but not limited to C#, Java, JavaScript, React Native, TypeScript, or Python
    • ORequivalent experience.
  • 5+ years experience building software and complex services.
  • 5+ years experience in designing, building, and managing highly available and distributed large-scale services.
  • 5+ years experience with cloud services such as Microsoft Azure, AWS, GCP, or others, and familiarity with cloud concepts such as containers, orchestration, serverless, and microservices.

Additional or Preferred Qualifications

  • Bachelor's Degree in Computer Scienceor related technical fieldAND 10+years technicalengineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • ORMaster's Degree in Computer Science or related technical fieldAND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
    • OR equivalent experience.
  • 8+ years experience in software engineering practices, coding and solid foundation in data structures, algorithms with proven testing, debugging and analytical skills
  • 1+ years experience working with DevOps practices such as continuous integration, continuous delivery, testing, and monitoring
  • 1+ years experience working with Generative AI/LLMs and related application architecture patterns.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:Microsoft will accept applications for the role until May 19, 2025.


Responsibilities
  • Shape system architectures that provide measurable customer value, along with driving engineering and operational excellence across products and services.
  • Design and build scalable, multi-tenant solutions that serve divergent business and user needs in a broad capability area.
  • Design and build solutions in an agile way, prototype and iterate with stakeholders, deliver value iteratively through MVP releases and fast-follow value-add enhancements, to support critical business needs. Dynamically adjust engineering plans to support impactrful priority business asks.
  • Design and build modern AI-first experiences that enable efficient completion of business workflows and support users in-the-flow-of-work decision making.
  • Deliver solutions with quality and user satisfaction, in a measurable and data driven way.
  • Oversee partnerships with appropriate stakeholders (e.g., Engineering Managers, Product Managers, Technical Leads, Technical Program Managers) to determine user requirements within and across teams for multiple solutions or product lines across MCAPS businesses.
  • Oversee teams and provide technical leadership for identification of dependencies and the development of design documents for a product, application, service, or platform.
  • Create, implement, optimize, debug, refactor, and reuse code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
  • Leverage subject-matter expertise of product features and partner with appropriate stakeholders to drive project plans, release plans, and work items.
  • Act as a Designated Responsible Individual (DRI) and guide other engineers by developing and following the playbook, working on call to monitor the service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore the service when appropriate.
  • Act as a gatekeeper for product compliance, identifying and addressing security/privacy concerns.
  • Proactively seek new knowledge and adapt to new trends, technical solutions, and patterns that will improve the availability, scalability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale. Partner internally to  improve  the overall productivity through recommendations  and  improvements to tools and processes.