Software Engineer at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

165200.0

Posted On

24 Dec, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud-Based Solutions, Data Analytics, Automation, AI Integration, C#, Java, JavaScript, Python, SQL, Azure Data Services, DevOps, CI/CD, Telemetry, Collaboration, Software Design, Machine Learning

Industry

Software Development

Description

Overview Ready to shape the future of how Microsoft operates its ~$250B+ business portfolio? Are you passionate about AI, data, and transformative user experiences? Do you bring energy, curiosity, and a strong sense of ownership to your work? The Finance Data & Experiences (FD&E) organization helps Microsoft measure, monitor, and optimize its global business by building data, analytics, and experience solutions that enable better decisions across Finance, Sales, Marketing, Business Operations, and Product Engineering. As a Software Engineer, you will help design, build, and operate cloud-based platforms and user experiences that improve how business insights are generated and used. This opportunity will allow you to grow hands-on technical skills with Microsoft technologies, learn how to deliver end-to-end solutions, and partner across teams to ship capabilities that drive measurable business impact. 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. Responsibilities Designs and develops scalable cloud-based data, analytics, automation, and tooling solutions using modern data platforms and cloud services. Integrates AI capabilities (e.g., Azure OpenAI, Cognitive Services, and ML models) to enhance system intelligence and improve user productivity. Applies engineering best practices to deliver secure, maintainable, and high-quality solutions, and owns work through design, implementation, and operational support. Implements monitoring, logging, and alerting to support proactive issue detection, and leverages telemetry and usage analytics to inform improvements. Collaborates with stakeholders, product managers, and engineers to deliver integrated, customer-focused experiences across cross-functional teams. Contributes technical feedback and ideas that help evolve Microsoft’s data and platform capabilities. Models continuous learning and supports a culture of inclusion, respect, and responsible innovation. Qualifications Required Qualifications: Bachelor's Degree in Computer Science, or related technical discipline with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python, OR equivalent experience. Other Qualifications 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 Cloud Background Check upon hire/transfer and every two years thereafter. Preferred Qualifications Bachelor's Degree in Computer Science or related technical field AND 1+ year(s) 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 with proven experience coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python, OR equivalent experience. Experience using Azure data services such as Azure Synapse, Azure Data Lake, Azure Databricks, or Microsoft Fabric, and experience writing SQL queries. Experience analyzing large-scale datasets to generate insights or build data solutions. Experience applying structured methods or frameworks to design software or data solutions. Experience with AI/ML fundamentals or with tools such as Azure ML or OpenAI services. Experience using Git for version control and experience with DevOps or CI/CD pipelines for cloud solution development or deployment. Experience contributing to team deliverables in a collaborative environment. Experience working with Finance or Tax datasets or business processes. Software Engineering IC2 - The typical base pay range for this role across the U.S. is USD $84,200 - $165,200 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 $109,000 - $180,400 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 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.

Responsibilities

Design and develop scalable cloud-based data and analytics solutions while integrating AI capabilities to enhance system intelligence. Collaborate with cross-functional teams to deliver customer-focused experiences and support operational improvements.