Software Engineering IC4

Overview

Build the platform that powers Microsoft's advertising business. The Monetize engineering team builds the sell-side platform (SSP) and curation tools that serve first-party ads across all Microsoft properties and for major third-party publishers worldwide. We're hiring a Senior Software Engineer to own backend services handling millions of API requests per day, drive a major Azure Kubernetes migration, and deliver full-stack features that our users depend on daily.

What you'll work on:

Designing and building backend services in C#/.NET on Azure (AKS, Functions, Cosmos DB, SQL)

Driving a large-scale infrastructure migration from VMs to Kubernetes

Full-stack feature delivery across GraphQL APIs and TypeScript frontends — UIs, APIs, and tools for business-critical workflows

Live-site engineering — owning production health, incident response, and observability

Building new applications from scratch as the platform expands into new areas

Opportunities to work on AI-powered product features including Copilot experiences and LLM integrations as the platform evolves

Who we're looking for:

You use AI-powered development workflows (Copilot, LLM-assisted coding, agentic tools) as a daily force multiplier — not as a novelty, but as a core part of how you ship software faster and better. You're always experimenting with new tools to raise your own bar and help your teammates do the same.

Why this team:

A tenured, tight-knit team of 9 engineers where retention speaks for itself — people stay because the work matters and the team is genuinely great

High-impact, high-autonomy work: you own features end-to-end from design through production

Clear path to Principal and beyond — significant opportunities for technical ownership and scope growth

The platform is evolving fast — you'll shape what it becomes, not just maintain what exists

About the role:

Improves artificial intelligence tools and practices across the software development lifecycle. Partners with internal stakeholders to determine customer/user requirements for scenarios. Leads discussions for architecture of complex products ensuring test strategies for solution quality. Mentors in identifying dependencies and producing extensible code across teams. Leads debugging efforts and application of coding patterns to improve code quality. Develops automation for production deployment targeting zero-touch when possible. Ensures visibility for compliance through audit trails and maintains understanding of regulations. Advocates new trends to adapt them to current problems and shares knowledge with peers. Supports collaboration with partner teams, ensuring proper integration before going live.

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.  

Starting January 26, 2026, Microsoft AI (MAI) employees who live within a 50- mile commute of a designated Microsoft office in the U.S. or 25-mile commute of a non-U.S., country-specific location 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

• AI-Native Development

• Improves artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC). Proactively takes responsibility for the content of their AI-generated requirements, design documents, code, and other assets, assisting other members of the team to do the same. Incorporates Responsible AI practices into the SDLC to ensure appropriate controls over AI-generated assets. Applies SDLC and engineering health measures (e.g., Accelerate, SPACE framework, Engineering System Success Playbook [ESSP]) to guide improvements to processes and practices, especially those involving AI. Experiments with AI tools and practices to improve their own capabilities, and provides recommendations on how to adopt them to other members of the team.

• Coding

• Leads by example across teams and mentors others to produce extensible, maintainable, well-tested, secure, and performant code used across products that adheres to design specifications. Leads efforts to continuously improve code performance, testability, maintainability, effectiveness, and cost, while learning about and accounting for relevant trade-offs. Identifies best practices and coding patterns and provides deep expertise in the coding and validation strategy. Creates and applies metrics to drive code quality and stability. Identifies and anticipates blockers or unknowns during the development process, escalates them, communicates how they will impact timelines, and then leads efforts to identify and implement strategies to address them. Leads efforts on using debugging tools, tests, logs, telemetry, and other methods, and proactively leads verification of assumptions while developing code before issues occur across products in production. Leverages minimal telemetry data, triangulates issues, and resolves with minimal iterations. Leads incident retrospectives to identify root causes of problems, the implementation of repair actions, and the identification of mechanisms to prevent incident recurrence. Reviews product code and test code to ensure it meets team standards, contains the correct test coverage, and is appropriate for the product or solution area.

• Design

• Owns and leads efforts and discussions for the architecture of aspects of complex products/solutions. Leads the testing and exploration of various design options across a set of complex product/solution scenarios, ensuring the strengths and weaknesses of each option are outlined and making recommendations for which design option is best. Creates proposals for architecture and design documents, and leads testing of hypotheses and proposed complex solutions. Leads the development of design documents that support user stories and other product requirements. Evaluates new technologies to solve classes of problems, and determines how to integrate these technologies within existing systems. Leads efforts to ensure system architecture and individual designs meet performance, scalability, resiliency, disaster recovery, and cost requirements. Mentors others on and independently creates a clear test strategy that ensures solution quality.

• Engineering Excellence

• Applies and identifies best practices for building code based on well-established methods and secure design principles. Leads product development and scaling to customer requirements. Remains current by investing time and effort into staying abreast of current developments. Leads efforts to use and enhance, or build, new software developer tools to support easier, faster, and more effective software engineering across products. Leads efforts to ensure the correct processes are followed to achieve a high degree of security, privacy, safety, and accessibility across solutions and teams. Collaborates with partner teams to ensure products work well with partner team components, ensuring proper end-to-end testing, live-site coverage, scalability, performance, and DRI escalation pathways are established before going live.

• Implement

• Leads efforts for experiments that determine the impact of changes using feature flags/flighting, interprets results, and decides on next steps. Leverages subject-matter expertise to partner with stakeholders to drive project plans, release plans, and work items. Breaks down long-term project vision into milestones as part of an overall roadmap. Leads leveraging existing deployment frameworks, automating deployment tasks when possible. Proactively follows safe change deployment best practices to minimize adverse impact to users and other services.

• Reliability and Supportability

• Integrates, designs, and reviews others' work to integrate logging and instrumentation for gathering telemetry data on system behavior. Holds accountability as a designated responsible individual (DRI), working on-call to monitor system/product/service for degradation, downtime, or interruptions. Maintains operations of live site service, following security best practices when responding quickly to mitigate issues. Reviews and writes incident postmortems and presents insights that drive changes to reduce or eliminate incidents.

• Understand User Requirements

• Partners with and guides appropriate internal and external stakeholders and leverages expertise to determine and confirm customer/user requirements and their feasibility for a set of scenarios. Seeks and leverages a variety of feedback channels to incorporate customer insights into future designs or solution fixes.

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.

• Experience with C#/.NET and Azure cloud services (e.g., AKS, Azure Functions, Cosmos DB, Azure SQL).

• Experience with production live-site engineering, observability tooling, and incident response. Familiarity with GraphQL, CI/CD pipelines, and infrastructure-as-code.

• Candidates with comparable experience in Java and/or AWS are encouraged to apply.

#MicrosoftAI #CSharp #Azure #Kubernetes #BackendEngineering #FullStack

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800.00 - $234,700.00 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 $160,200.00 - $261,000.00 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

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. (