Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI): Building and optimizing highly distributed, high-volume backend service platforms for AI model serving, data ingestion, caching, and content delivery with an accent on architectural design, performance, and scalability in cloud environments. Focus on deploying algorithms and ML/DL models, ensuring system reliability, and driving engineering excellence for global users.

Location: Redmond, United States

Salary: USD $139,900 – $274,800 per year

Company

hirify.global is a division of Microsoft, contributing to AI-powered content delivery platforms reaching over 1B+ customers globally.

What you will do

• Design, develop, test, and deploy data ingestion, pre/post-processing, caching, and serving pipelines.
• Architect and implement scalable backend services with strong reliability and performance guarantees.
• Deploy algorithms and ML/DL models using containers and schedulers.
• Collaborate with scientists, engineers, and product managers to translate business requirements into technical solutions.
• Provide technical leadership and mentorship to peers.
• Ensure code quality, performance, reliability, and scalability of platform components.
• Troubleshoot and resolve issues in production and development environments.
• Participate in DRI on-call duties.

Requirements

• Bachelor’s Degree in Computer Science or related technical field AND 6+ years of technical engineering experience with coding in languages including C#, .NET, Java, Go, or Node.js.
• 5+ years of direct experience delivering, scaling, and owning highly successful multi-tiered distributed services.
• 5+ years experience improving service availability and robustness.
• 5+ years of hands-on experience with cloud storage, distributed task orchestration, and large-scale data processing systems on major cloud platforms (e.g., AWS S3, GCP Cloud Storage, Kafka, Kubernetes, Azure).

Nice to have

• Master’s Degree in Computer Science or related technical field AND 8+ years experience OR Bachelor’s Degree AND 10+ years experience.
• Experience working through full product cycles from initial design to final delivery.
• Hands-on experience with deep learning model deployment and performance tuning.
• Familiarity with DevOps practices, CI/CD, and infrastructure-as-code tools.
• Knowledge of authentication and authorization mechanisms (e.g., AAD, certificates).
• Solid communication and leadership skills with a track record of cross-team collaboration.

Culture & Benefits

• A growth mindset, innovation to empower others, and collaboration to realize shared goals.
• Values of respect, integrity, and accountability to create a culture of inclusion.
• Eligibility for Microsoft benefits and compensation package.
• Microsoft is an equal opportunity employer committed to diversity and inclusion.