Software Engineer II

Are you a Software Engineer II who thrives in a cutting-edge environment where you get to work with some of the largest data volumes on the web? Do you have a rich history of crafting innovative solutions utilizing open-source technologies? Are you challenged by large scale projects utilizing trillions of records to drive and innovate product experiences for end-users? Does it sound exciting to design and build modern fraud-detection infrastructure to protect products with speed, resilience and adaptivity?

We are looking for a highly motivated developer who is passionate about building scalable analytics/insights platform and set a high bar for performance and usability. Who is also interested in challenging the status quo and finding better ways of doing things and continually developing a growth mindset. You will be working on interesting and exciting use cases that combine mission critical user/usage/revenue data; processing at big data scale and need for generating real-time insights. You will be working in a hybrid technology space that combines the best from Azure and open source world.

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.

Required Qualifications:

• 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#, Java, C, C++, JavaScript, or Python
  • OR equivalent experience.
• 1+ year of experience designing, developing distributed systems on a cloud platform.

• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Additional or preferred qualifications

• 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#, Java, C, C++, 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#, Java, C, C++, JavaScript, or Python
  • OR equivalent experience.
• Experience data manipulation (SQL, Hadoop, Spark), NoSql DBs, and/ or BI Tools.
• Passionate and self-motivated.
• Experience in building large scale or big data engineering initiatives.
• Experience in streaming processing, familiar with Kafka, Spark, Flink tools.
• Experience analyzing data to identify deliverables, gaps, and inconsistencies.
• Experience in bot and anomaly analysis and detection.
• Has solid user empathy with an obsession for clean and functional user experiences, constantly thinking of our end-users.
• Solid communication skills, capable of building and maintaining relationships with a variety of people on other teams.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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 and processes offers for these roles on an ongoing basis.

#MicrosoftAI #BING

• Design, build and own the highly optimized architecture and systems for data and analytics pipelines, dashboards and metrics leveraging Azure and open source technologies.
• Build core datasets as well as scalable and fault-tolerant pipelines.
• Build data anomaly detection, identify trends and build metrics to measure anomaly impact and develop countermeasures to enhance product quality.
• Collaborate with cross functional partners including data scientists, product managers and software engineers to design and develop end-to-end data assets that help improve our products.