Software Engineer

Redmond, WA, US • Posted 17 days ago • Updated 4 hours ago
Full Time
On-site
USD $102,100.00 - 202,200.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Microservices
  • Cosmos-Db
  • SQL Azure
  • Billing
  • Testing
  • Natural Language Processing
  • Semantics
  • Scalability
  • Data Validation
  • Regulatory Compliance
  • Privacy
  • Mentorship
  • ROOT
  • DevOps
  • Automated Testing
  • SAFE
  • Customer Facing
  • Release Notes
  • Computer Science
  • C
  • C++
  • Java
  • C#
  • Python
  • JavaScript
  • Cloud Computing
  • Microsoft Azure
  • Amazon Web Services
  • NoSQL
  • Data Structure
  • Algorithms
  • Debugging
  • Artificial Intelligence
  • Semantic Search
  • Continuous Integration
  • Continuous Delivery
  • GitHub
  • Workflow
  • Problem Solving
  • Conflict Resolution
  • Communication
  • Collaboration
  • Software Engineering
  • Integrated Circuit
  • Internal Communications
  • IC
  • SAP BASIS
  • Microsoft
  • Immigration
  • Military

Summary

Overview

Commercial Engineering & AI (CEAI) partners closely with stakeholders to accelerate the transformation of Microsoft's commercial business into a frontier organization. We bring together AI-native engineering, modern platforms, and deep commercial insight to reimagine how work gets done - at scale and with impact. Our mission is to unlock new ways of operating through intelligent systems while creating the conditions for our teams to do the most meaningful work of their careers.

Customer Success Engineering (CSE) within the Commercial Engineering and AI (CEAI) organization builds and manages critical products and services that Microsoft runs on. We pursue big ideas that power transformational advances for Microsoft and its customers while helping teams work smarter, faster, and more securely every day. We are looking for Software Engineers who are passionate about building great software and continuously learning new technologies. If you're excited to build, experiment, and shape the future of commercial execution with AI at the core, we invite you to apply.

Responsibilities

  • Design, build, and operate distributed services and microservices on Azure (App Service, AKS, Functions, Service Bus, Cosmos DB, Azure SQL) that power catalog, search, purchase, fulfillment, metering, and billing experiences.
  • Own features end-to-end: requirements, design, implementation, testing, deployment, and live-site support.
  • Integrate AI capabilities such as natural language processing, semantic search, and intelligent agents using frameworks like Azure OpenAI, Semantic Kernel, or equivalent.
  • Drive performance, scalability, and cost-efficiency through telemetry, asynchronous I/O, and system profiling.
  • Ensure robust data validation, schema enforcement, and compliance with privacy and security standards.
  • Collaborate across disciplines to define technical requirements, review designs, and deliver high-quality software.
  • Mentor engineers and promote engineering best practices across the team.
  • Participate in an on-call rotation; investigate and resolve live-site incidents, and drive root-cause fixes that improve reliability.
  • Contribute to our DevOps culture: CI/CD pipelines, automated testing, telemetry, and safe deployment practices.
  • Written communication: design docs, postmortems, customer-facing release notes.

Qualifications

Required / minimum qualification

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
  • 3+ years of experience in software engineering, preferably in cloud-scale or AI-enhanced services.
  • Proficiency in C#, Python, or JavaScript, and familiarity with cloud platforms like Azure or AWS.
  • Experience designing and consuming REST APIs and working with relational and/or NoSQL data stores.
  • Fundamentals in data structures, algorithms, distributed systems, and debugging.
  • Experience with AI development tools and frameworks (e.g., OpenAI APIs, transformers, semantic search).
  • Understanding of CI/CD pipelines, GitHub workflows, and infrastructure-as-code.
  • Problem-solving, communication, and collaboration skills.

#CEAIjobs

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:
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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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10494596
  • Position Id: 690030e442384c009e750d341d06d15b
  • Posted 17 days ago
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