Software Engineer II - Finance Data & Experiences

Overview

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 is on a mission to redefine how Microsoft measures, monitors, and optimizes its global business - and we’re looking for top talent to join us. This is a unique opportunity to lead with bold ideas, apply cutting-edge technology, and work across Finance, and Product Engineering to deliver high-impact business solutions. The right candidate will thrive in fast-paced, cross-functional environments, bring fresh thinking to complex problems, and be eager to learn to take ownership of end-to-end processes and outcomes. Join us and be part of a team that’s pushing the boundaries of innovation, taking risks, and implementing AI to drive business excellence

At FD&E, we foster a culture of customer centricity, innovation, agility, and transparency - and we’re building a team that’s ready to help Microsoft chart its next chapter in AI-driven business excellence.

As a Software Engineer, you will independently use appropriate artificial intelligence tools and practice across the software development lifecycle. You will work with appropriate internal stakeholders to understand customer/user requirements for a set of features. You will create a clear test strategy that ensures solution quality, executes test plans, and builds testable code. You will strive for automation within production deployment aiming for zero-touch when possible. You will apply and review coding patterns, security risks, and compliance issues in code reviews. You will apply security best practices to achieve security hardening across product features.

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.

Responsibilities

Design, develop, deploy, and operate scalable cloud-based data, analytics, automation and tooling solutions using modern data platforms and Cloud services.

Foundation of Data Structures, algorithms and Programming capabilities that can be applied to solve complex problems thereby helping with the build of solutions with strong foundations and high-quality delivery.

Integrate AI capabilities such as Azure OpenAI, Cognitive Services, and ML models to enhance system intelligence and user productivity.

Apply engineering best practices as you design and deliver high-quality, scalable solutions. Own your solution end to end through design, implementation, and operations.

Implement robust monitoring, logging, and alerting for proactive issue detection. Leverage telemetry and usage analytics to understand customer behavior and inform product decisions.

Support and influence the team culture, customer-centricity, and continuous improvement.

Provide technical feedback to our product engineering partners to evolve and mature our AI, Azure services and Power Platform.

Collaborate cross functionally across stakeholders, product managers and other engineers to deliver integrated, customer-focused experiences.

Leverage AI to auto-generate boilerplate code for data pipelines, SQL transformations, and Spark jobs, significantly reducing development time for repetitive tasks.

Use AI to enforce consistent coding patterns across ETL scripts and data model definitions, improving maintainability and reducing review cycles.

Utilize AI to quickly prototype new data engineering solutions including partitioning strategies, and schema evolution logic, enabling faster experimentation and learning.

Employ AI to assist in writing docstrings, inline comments, and unit tests for data processing functions, improving code readability and test coverage.

Share GitHub Copilot-generated snippets and best practices with the team, fostering a culture of AI-assisted development and continuous improvement.

Qualifications

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, C++, C#, Java, JavaScript, or Python OR equivalent experience.

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, 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.

Experience leveraging AI technologies, including Azure OpenAI, Azure AI Services, and machine learning models to drive business impact.

Ability to collaborate across teams and disciplines to deliver innovative solutions and business outcomes.

Experience building consensus, resolving conflicts, and managing stakeholder relationships in complex environments.

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $102,100 - $202,200 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 $133,800 - $219,200 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.