Software Engineer II

Microsoft • Redmond, WA

2h

About The Position

The Cloud & AI organization accelerates Microsoft’s mission and bold ambitions to ensure that our company and industry is securing digital technology platforms, devices, and clouds in our customers’ heterogeneous environments, as well as ensuring the security of our own internal estate. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. Microsoft is one of the largest enterprise service companies in the world.
The Azure Security Organization mission is to make Azure the most secure cloud in the world by tackling complex engineering and security challenges at scale. My team's mission is to harness the power of AI and GPTs and deliver capabilities that the org uses to empower engineers across Azure build secure-by-design and secure-in-operations.
We are seeking a skilled Software Engineer II with a proficient technical background in artificial intelligence and machine learning, and experience that translates functional requirements into high-scale, low maintenance and high-performance multi-tenant services. The successful candidate will contribute to the architecture of large-scale systems that use agentic reasoning to improve security workflows and operations. Contribute solution proposals and deliver well-structured, maintainable code accompanied by comprehensive test coverage. Collaborate effectively with cross-functional teams and leverage existing technologies to build highly available and scalable services. Actively participate in code reviews to uphold high standards of quality and ensure robust testing practices. Support the successful release of services to production environments. Demonstrate hands-on experience in developing machine learning and artificial intelligence capabilities within product offerings. A successful candidate will be self-motivated and a fast learner with good collaboration skills.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

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.
• 2+ years of experience working with large language models, designing and deploying agentic AI workflows, model training/fine-tuning pipelines, retrieval augmentation, and model evaluation.
• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft background and Microsoft Cloud background check upon hire/transfer and every two years thereafter.

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 5+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.
• 3+ years of experience in building ML and AI solutions and capabilities into the products. 2+ years of experience working with large language models, designing and deploying agentic AI workflows, model training/fine-tuning pipelines, retrieval augmentation, and model evaluation.

Responsibilities

• Artificial Intelligence: Leverages leading-edge advances in agentic intelligence to automate operational workflows and drive highly accurate factual reasoning at scale.
• Engineering Excellence: Improves developer tools, automates deployments, and stays current with technologies. Applies effective practices for performance, scaling, and compliance.
• Design & Architecture: Contributes to design documents, testing plans, and architectural decisions. Identifies dependencies and ensures compliance and security alignment.
• Implementation & Deployment: Breaks down work items, estimates effort, and supports safe deployment practices. Conducts experiments to validate feature effectiveness.
• User-Centric Development: Collaborates with stakeholders to gather requirements and incorporates user feedback into design and development decisions.
• Code Quality & Review: Writes maintainable, extensible code with reliability and diagnosability in mind. Participates in code reviews and applies effective practices and feedback.
• Reliability & Supportability: Acts as DRI, monitors live services, and escalates issues. Integrates telemetry and analyzes system health to inform product improvements.
• Embody our Values and Culture

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees