Senior Software Engineer-Office for the Web

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Do you want to be part of a team that delivers innovative AI features across flagship products? Does the idea of joining a fast-paced, high-visibility, and diverse team in a highly competitive market excite you? If so, you’ll thrive as a Senior Software Engineer on our Office for the Web team, where you’ll play a pivotal role in shaping the future of intelligent cloud services. In this position, you’ll architect, design, and launch cutting-edge systems that drive resilience for massive-scale platforms - empowering automatic impact assessment, diagnostics, correlations and game-changing automated mitigations.

You’ll work alongside top-tier engineers in an energetic environment where learning never stops and boundaries are always being pushed. Together, you’ll harness the power of AI to solve real-world challenges, building high-performance, secure, and resilient platforms that delight over a billion users worldwide. If you’re passionate about engineering excellence and ready to help shape the next generation of digital experiences, we want to hear from you!

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.

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.
• 2+ years experience in applying machine learning techniques and drive end-to-end AI product development.
• 1+ years working with Large Language Models.
• Driven by a growth mindset, and advocate for diversity and inclusion.

Preferred Qualifications:

• 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 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 equivalent experience.

• Computer Science, Math, Statistics, or related areas with industry experience or publication record in the areas of Large Language Models, Machine Learning, or Natural Language Processing.
• Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms.
• Experience with Prompt optimizations, Data Mining with language models, Agentic systems.
• Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members.
• Customer obsessed and passionate about product impact.
• Proven track record in shipping end-to-end features.
• Solid cross team collaboration skills.

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 $158,400 - $258,000 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

Microsoft will accept applications for the role until June 18th, 2025.

• Lead efforts to operationalize at scale by reducing incident volume, analyzing incidents globally, and providing broad resolutions.
• Be a technical leader to engineers, own project efforts, be accountable end-to-end.
• Identify requirements, scope solutions, estimate work, and schedule deliverables.
• Apply engineering principles to establish robust and maintainable architecture and designs.
• Promote and drive the adoption of good coding standards and patterns.