Senior Software Engineer (AI)

TL;DR

Senior Software Engineer (AI): Building and optimizing highly scalable backend services and data pipelines for privacy-preserving measurement and analytics scenarios with an accent on secure data processing, system reliability, and global impact. Focus on designing secure data collaboration workflows, driving integrations with external partners, and leading high-quality software delivery through the entire SDLC.

Location: Redmond, United States. Employees living within a 50-mile commute of a designated Microsoft office in the U.S. are expected to work from the office at least four days per week.

Salary: USD $119,800 – $234,700 per year (U.S. standard) or USD $158,400 – $258,000 per year (San Francisco Bay area and New York City metropolitan area).

Company

hirify.global enables advertisers to measure impact and optimize spend through secure, privacy-preserving data collaboration.

What you will do

• Design and build highly scalable backend services and data pipelines for privacy-preserving measurement and analytics using C# or Java.
• Design secure data collaboration workflows across multiple parties using modern privacy technologies and governance controls.
• Drive integrations with external data and measurement partners, designing stable interfaces and robust validation.
• Lead initiatives to make delivery of high-quality software routine and efficient throughout the software development lifecycle.
• Collaborate with product, data science, privacy, and security teams to translate needs into scalable platform capabilities.
• Contribute to engineering best practices leveraging AI dev tools across the SDLC.

Requirements

• Bachelor’s degree in computer science or related field AND 4+ years of technical engineering experience with coding (C, C++, C#, Java, JavaScript, or Python) OR equivalent experience.
• 4+ years of experience building and operating large-scale distributed systems, backend services, or data platforms.
• Experience with large-scale data processing frameworks (e.g., Spark, SQL-based pipelines) and cloud platforms.
• Understanding of secure data processing, encryption, identity, and access control.
• Experience building and operating services with strict SLAs.
• Ability to meet Microsoft, customer and/or government security screening requirements, including the Microsoft Cloud Background Check.
• English: B2+ required.

Nice to have

• Master’s Degree in Computer Science or related technical field AND 6+ years technical engineering experience OR Bachelor’s Degree AND 8+ years experience.
• 5+ years of experience building and operating large-scale distributed systems, backend services, or data platforms.
• Experience with Azure.
• Background in advertising, marketing technology, attribution, or large-scale analytics.
• Experience integrating third-party platforms, identity systems, or data collaboration technologies.
• Solid problem-solving skills with a focus on reliability, observability, and system design.

Culture & Benefits

• Work within a culture of inclusion, respect, integrity, and accountability.
• Opportunities to innovate and empower others with a growth mindset.
• Access to comprehensive benefits and other compensation information.