Principal Software Engineer - Remote AI & Cloud

Microsoft

United States

Remote

USD 143,000 - 275,000

Full time

3 days ago
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Job summary

Microsoft’s Frontier Company Engineering team seeks a Principal Software Engineer to deliver production-ready services that turn data insights into scalable solutions. You’ll join small, multidisciplinary crews embedding with customer teams and applying AI advancements across the development lifecycle.

You will own end-to-end design, collaborate with data scientists, product managers, and domain experts, and help drive enterprise security, quality, and trust in highly visible customer

Qualifications

  • Bachelor's degree in Computer Science or related field and 6+ years of software engineering experience.
  • Experience coding in languages like C, C++, C#, Java, JavaScript, or Python.
  • Familiarity with deploying and operating AI systems in production environments.

Responsibilities

  • Put security first: ensure security standards from design through production.
  • Translate business needs into technical solutions with measurable outcomes.
  • Design and lead end-to-end architecture for cloud and AI workloads.
  • Deliver quickly with modern engineering practices (CI/CD, testing, observability).
  • Drive customer success by delivering production-ready solutions and adoption at scale.
  • Build reusable assets and reference architectures for broader reuse.
  • Lead in ambiguity with clarity, structure, and momentum across engagements.
  • Mentor engineers and collaborate with product, data and security partners.

Skills

Software engineering experience
C/C++/C#/Java/Python

Education

Bachelor's degree in Computer Science or related field
Master's degree in Computer Science or related field

Tools

C/C++/C#/Java/Python tooling
Cloud AI platforms

Job description

Microsoft’s Frontier Company Engineering team seeks a Principal Software Engineer to deliver production-ready services that turn data insights into scalable solutions. You’ll join small, multidisciplinary crews embedding with customer teams and applying AI advancements across the development lifecycle.

You will own end-to-end design, collaborate with data scientists, product managers, and domain experts, and help drive enterprise security, quality, and trust in highly visible customer

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