Software Engineer II - HR Employee Experience

Microsoft•Redmond, WA

12d

About The Position

We are looking for a Software Engineer II to join HR Engineering Organziation. The HR Employee Experience Engineering team builds, runs, and continuously improves the mission of critical products and services that power Microsoft’s internal workforce. We turn bold ideas into transformational solutions that make Microsoft teams work smarter, faster, and more securely every single day. As part of HR, you’ll work with a globally distributed team of engineers, architects, program managers, product managers, UX researchers, and designers who thrive on solving complex challenges at scale. We design and deliver specialized workloads, and adaptive cloud solutions that empower customers to achieve more—securely and efficiently. Our engineering team is looking to hire talented and highly motivated Software Engineer II for designing and implementing the next-generation products and services for users across the globe. This person will need to be solid technically, with in-depth knowledge and experience in analyzing data and requirements, designing, developing and releasing services or products to end users. A core pillar of our mission is artificial intelligence (AI) enabled empowerment: we embed intelligent automation, large language model (LLM) driven assistants, and predictive analytics into every product to surface the right information at the right time, streamline routine tasks, and uncover insights that help employees thrive. 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.

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.

Nice To Haves

Master's Degree in Computer Science or related technical field AND 3+ 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.
2+ years of experience architecting and building solutions on Azure or comparable cloud platforms.
2+ years of experience in design, developing and implementing Power Platform module D365 Customer Service, which meets the business requirements of the organization.
2+ years of experience designing, building, and managing high‑scale full‑stack systems, including authentication, microservices, distributed systems, data and analytics workloads, and AI training and inferencing services.
1+ year of experience with AI‑driven, cloud‑based architectural patterns.
1+ year of experience using AI‑assisted development tools to improve productivity, including building agents with Microsoft Copilot and Agent Framework.
Foundational knowledge of Business Rules, workflows and Provisioning configurations.
Software development experience across Microsoft Copilot, Agent Framework, web and API development, UX technologies, and NoSQL databases.
Knowledge of modern Agentic AI patterns and practices.
Ability to work effectively with partner teams across organizations.

Responsibilities

Design and build high‑quality systems by leading architecture and design discussions, ensuring scalability, reliability, compliance, and performance.
Independently use AI tools across the software development lifecycle responsibly and improve processes leveraging AI.
Apply strong engineering practices in coding, reviews, and testing, with a focus on security, maintainability, and performance.
Collaborate with internal and external teams to identify dependencies and reach common goals.
Write code that is extensible, maintainable, well-tested, secure, and performant.
Implement security standards to raise security hardening across solutions, ensuring each layer is independently secure.
Drive test strategy and automation, including AI‑assisted testing, security testing, and validation across pre‑production and production.
Ensure secure and compliant delivery by implementing security invariants and meeting privacy, safety, accessibility, and audit requirements.
Own deployment and release excellence, using safe deployment frameworks, automation, rollback strategies, and zero‑touch deployment goals.
Operate and improve live‑site reliability by acting as the directly responsible individual (DRI), managing incidents, improving on‑call processes, and leading postmortems.
Leverage telemetry and experimentation through logging, monitoring, feature flags, and metrics to validate assumptions and guide decisions.