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Principal Engineer Software (Idira IGA)
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We are seeking a Principal Engineer Software to lead the technical evolution of our Identity Governance & Administration (IGA) platform. This is a role for a deeply technical, hands-on…
Added just now
Principal Engineer Software (IGA platform)
Palo Alto Networks
Needham Heights, MA
We are seeking a Principal Engineer Software to lead the technical evolution of our Identity Governance & Administration (IGA) platform. This is a role for a deeply technical, hands-on…
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Microsoft

Senior Software Engineer - AI Experiences, Monetization

NY, United States
WA, United States
Redmond, WA, United States
New York, United States
Redmond, United States

$119,800 to $261,000 USD / year

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Job details

Pay: $119,800 to $261,000 USD / year
Apply by: May 3, 2027
Posting language: English
Posted: Nov 4, 2026

Original job description

Overview

About the team As part of Microsoft AI Experiences, our Monetization Demand Quality team builds the services that help protect advertising quality and keep creative review fast, accurate, and reliable. Our team works across creative APIs, content scanning, AI-assisted auditing, malware detection, policy enforcement, and operational analytics. The team is modernizing distributed services on Azure while improving the experience of advertisers, publishers, and internal partners. The team is looking for a Senior Software Engineer to drive technical solutions that advance artificial intelligence capabilities and engineering practices across the software development lifecycle. You’ll work with stakeholders to define requirements for creative quality and advertising scenarios, lead architecture and testing strategies for complex systems, and build extensible solutions that can scale across teams. You’ll provide technical leadership through mentoring, debugging, code quality improvements, and the adoption of effective engineering patterns. You’ll also develop deployment automation, improve operational readiness, and drive toward zero-touch production operations where practical. In partnership with other engineering teams, you’ll ensure services meet security, reliability, compliance, and integration requirements before launch. You’ll continuously evaluate emerging technologies, apply them to current technical challenges, and share learnings that improve engineering practices across the broader organization. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. AI Experiences employees who live within a 50- mile commute of a designated Microsoft Hub in the U.S. are expected to work from the office at least four days per week. This expectation is subject to local law and may vary by jurisdiction.

Responsibilities

Understand user requirements
Partner with product managers, engineering leads, security and privacy specialists, and customer support teams to define feasible requirements and measurable outcomes for creative processing, audit quality, API performance, and policy enforcement.
Use customer feedback and service data to identify unmet needs, including security, privacy, accessibility, and globalization. Define feedback loops and success measures that connect engineering changes to customer value.
Design
Lead architecture and design for complex APIs, distributed workers, event-driven pipelines, and data services spanning creative ingestion, scanning, scoring, search, and publishing. Evaluate design alternatives and make trade-offs explicit.
Identify upstream and downstream dependencies; align service contracts, ownership, and delivery plans across teams. Design for scalability, resiliency, disaster recovery, security, privacy, and sustainable infrastructure cost, including migrations from legacy systems to Azure.
Own test strategies covering integration, performance, security invariants, negative cases, and regression prevention. Mentor engineers in testable design and improve the reliability, speed, and diagnostic value of automated tests.
AI-native development
Improve AI-assisted requirements, design, coding, testing, and operations. Take responsibility for the accuracy, security, and maintainability of AI-generated assets, and coach peers to validate outputs and apply Responsible AI controls.
Experiment with AI tools and agent-assisted workflows; recommend adoption based on demonstrated value. Apply SDLC and engineering health measures, such as Accelerate, SPACE, and the Engineering System Success Playbook (ESSP), to improve team practices.
Coding
Lead by example and mentor engineers across teams to deliver extensible, maintainable, secure, well-tested, and performant code.
Establish reusable patterns and metrics that improve quality, stability, testability, and operating cost.
Lead debugging across application, data, and infrastructure boundaries using tests, logs, telemetry, and explicit verification of assumptions.
Resolve ambiguous failures, anticipate blockers, and communicate delivery risks and mitigation plans.
Provide timely, substantive code and test reviews that strengthen correctness, diagnosability, security, and maintainability. Integrate automated source analysis into development and builds, and use reviews to coach engineers.
Engineering excellence
Build security and compliance into designs, code, and operations through least-privilege access, threat modeling, security invariants, deployment gates, artifact integrity, and privacy-aware telemetry. Maintain audit evidence and apply relevant Microsoft standards and regulations, including AI safety requirements.
Establish end-to-end validation, live-site coverage, and escalation paths with partner teams before launch. Improve developer tooling and reusable engineering practices; evaluate emerging technologies and responsible reuse of internal or open-source components, and share knowledge through mentoring and technical discussions.
Implementation and delivery
Translate multi-team initiatives into milestones, estimates, and release plans. Partner with product and data science teams on feature flags and experiments with success and guardrail metrics; use results to guide rollout and ship decisions.
Automate CI/CD and production deployment toward zero-touch operation. Validate changes in production-like environments, manage secure dependencies, and plan progressive rollout, capacity, failover, backup and restore, and explicit rollback criteria.
Reliability and supportability
Design instrumentation, dashboards, and alerts for availability, latency, throughput, audit coverage, and safety mechanisms. Use telemetry to improve reliability and efficiency while respecting privacy and data-retention requirements.
Serve as a designated responsible individual (DRI) in the on-call rotation. Lead incident mitigation, communicate impact and status, coordinate partner teams, and restore service within agreed service-level expectations using minimum required access.
Lead incident retrospectives and durable repairs that reduce recurrence. Improve troubleshooting guides, runbooks, tests, and automation, and mentor engineers in reliable service ownership.

Qualifications

Required Qualifications:

Bachelor's Degree in Computer Science or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.

Preferred Qualifications:

Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience.

#AIX

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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More about this job

Skills

Auditing
Artificial intelligence
Software development
Leadership
Coaching
Debugging
Regulatory compliance
CI/CD
Troubleshooting
Computer science
C
C++
C#
Oracle Java
JavaScript
Python

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