Principal Software Engineer

Technology, Data & Digital · Software & Web Development · Software Engineering · Cybersecurity · Data Engineering

In short

Microsoft is hiring a Principal Software Engineer to lead the development of AI Safety Platform (AISP) for generative AI, focusing on observability, detection, and investigation. This remote, full-time role requires a strong background in software engineering, cybersecurity, and experience with large-scale data processing systems and modern AI technologies.

Responsibilities

  • Lead the design and implementation of shared platform capabilities, guiding architecture and technology decisions.
  • Build and evolve company-wide AI observability and monitoring systems for attack reconstruction, detection, evaluation, threat hunting, and investigation.
  • Design detection infrastructure for attack signatures, pattern matching, behavioral anomaly detection, and model-assisted analysis.
  • Build and operate large-scale distributed data processing systems using technologies like Spark and Kusto.
  • Drive technical partner conversations, security and privacy architecture reviews, and resolve integration challenges.
  • Review designs and code, mentor engineers and scientists, and raise the technical bar across teams.

Requirements

  • Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience, including significant ownership of distributed data, platform, or security products.
  • Coding experience in languages including C, C++, C#, Java, JavaScript, or Python.
  • Ability to meet Microsoft, customer and/or government security screening requirements, including a Microsoft Cloud Background Check.

Desired Qualifications

  • 2+ years of experience working on modern AI systems (copilots, LLM applications, agent orchestration, etc.).
  • 2+ years of experience in big data engineering (Spark, Kusto, data lakes, etc.).
  • Demonstrated success designing and delivering complex production systems in ambiguous, cross-functional environments.
  • Proven coding, system design, written communication, and technical leadership skills.
  • End-to-end technical ownership of complex platforms, data, security, or AI products.
  • Hands-on experience with alerting, triage, investigation, threat hunting, or incident response.
  • Experience leading security and privacy architecture reviews and applying threat-modeling principles.
  • Deep understanding of agentic systems, tools, memory, embeddings, and AI system failure modes.
  • Experience with cloud-native distributed platforms, infrastructure as code, CI/CD, and technologies like Azure Data Factory, Databricks, Kubernetes.
  • Demonstrated record of mentoring and influencing engineers, researchers, product leaders, and partner organizations.

Benefits

  • Typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year.
  • Base pay range in San Francisco Bay area and New York City metropolitan area is USD $188,000 - $304,200 per year.
  • Certain roles may be eligible for benefits and other compensation.
  • Access to additional benefits and pay information via provided link.

Skills

PythonC++JavaC#JavaScriptCSparkKustoAzure Data FactoryDatabricksKubernetes
#Software Engineering#Cybersecurity#Generative AI#AI Safety#Platform Engineering#Data Engineering#Observability#Detection Systems#Threat Hunting#Incident Response#Distributed Systems#Cloud Native#LLM
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Company

Microsoft

Job Posted

4 days ago

Employment Type

Full Time

Work mode

Remote

Salary

US$142,800–274,800 · Negotiable

Experience Level

Senior

Locations

United States

Qualification

Bachelor

Applicants

Be an early applicant