Senior Software Engineer

Microsoft•Redmond, WA

5d•$119,800 - $234,700

About The Position

Are you passionate about using cutting-edge technologies & capabilities across Microsoft’s Intelligent Cloud Platform? Do you strive to improve customer experience and business performance? Do you like to affect change at a billion-dollar global user scale company, and deliver improvements that result in material impact? If yes, we want you in Monetization and Business Planning (MBP)! Our organization directs the commercial portfolio’s pricing, packaging, licensing, channel, and monetization strategies. As a Senior Software Engineer in the Monetization and Business Planning team, you will be responsible for improving operational efficiency by designing, building and maintaining automated solutions that impact how go-to-market decisions are made. Your automated solutions will drive product monetization timelines. You will become an integral part of how we scale Microsoft’s monetization strategy. You will develop your career, forge effective cross-functional relationships, take on progressively broader responsibilities, and establish yourself as a trusted strategic advisor. You can expect to have sponsorship for your work, support for your professional development, and encouragement to bring your authentic self to work. 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.

Requirements

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.

Nice To Haves

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 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 equivalent experience.
1+ years of experience managing and deploying services on Azure and maintaining a large-scale, released commercial service.
1+ years of experience with business process automation.
Experience in creating knowledge retrieval agents using Microsoft CoPilot Studio or similar technology is desired.
Experience in creating API solutions on Azure Intelligent Cloud for cross platform communication is desired.
Experience serving as a technical lead or in an equivalent role for at least 1 year, with demonstrated ownership of project direction, scoping, and cross-functional coordination, in addition to hands-on execution.

Responsibilities

Design, develop, deploy and maintain technical process automation solutions that drives operational efficiency.
Lead end-to-end project delivery to achieve timely, high-quality results
Collaborates with business process improvement specialists, business planners, data scientists and engineers across multiple teams to translate business requirements into technical solutions.
Drives identification of dependencies and the development of design documents for automation product, application, service, or platform.
Creates, implements, optimizes, debugs, refactors, and reuses code to establish and improve performance and maintainability, effectiveness, and return on investment (ROI).
Utilize cloud-native technologies and distributed systems to develop a resilient, secure automation solutions.
Leverages subject-matter expertise of product features and partners with appropriate stakeholders (e.g., project managers) to drive a workgroup's project plans, release plans, and work items.
Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.