LandOffer
Software Engineer
Job details
- Pay
- $102,100 – $202,200 a year
- Level
- Entry level
- Experience
- 2+ years
- Education
- Bachelor's degree
- Posted
- Sep 2, 2026
- Last confirmed open
- Oct 7, 2026
What you'll need to apply
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- Are you currently or have you ever been a member of the military, a civilian employee, or an official of any government, whether national, state, local, or foreign?
- Have you signed a non-compete or non-disclosure statement which may become an obstacle to your acceptance at Microsoft?
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- Are you currently employed by a Microsoft subsidiary (e.g., LinkedIn, GitHub, Gaming Studios, Activision, Blizzard, King)?
- As part of the online application process you were asked whether you possess certain minimum required qualifications for the role to which you are applying. By selecting yes, you agree that you answered these questions accurately. You further acknowledge that your answers may result in your application not being considered further for this role if you do not currently meet the required qualifications for the role.
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About this role
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. 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
- AI‑Native Development Uses AI tools effectively across the SDLC, taking accountability for reviewing and validating AI‑generated outputs with minimal guidance.
- Coding Develops, reviews, and improves code with a focus on quality, security, and maintainability, while leveraging testing, telemetry, and best practices to prevent and resolve issues.
- Design Collaborates on architecture and design decisions, evaluates options, and contributes to scalable, secure, and well‑documented solutions aligned with product requirements.
- Engineering Excellence Applies best practices across security, compliance, performance, and automation, while continuously improving tools, processes, and system reliability at scale.
- Implement Executes project and release plans, breaking down work, ensuring secure and compliant deployments, and using safe rollout strategies like flighting and experimentation.
- Reliability and Supportability Maintains live‑site health through monitoring, incident response, and telemetry, improving troubleshooting processes and ensuring secure, reliable service operations.
- Understand User Requirements Works with stakeholders to understand customer needs and incorporates both explicit and implicit feedback into feature design and continuous improvements.
Qualifications
Required/minimum 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
- Experience with distributed systems, micro-service architecture, scalability patterns, and high-availability architectures. 1
- Experience contributing to solution design by exploring design options, documenting technical decisions, and proactively managing upstream and downstream dependencies while partnering with other teams to deliver scalable, reliable, and secure solutions.
- Experience with REST Based API’s development, messaging patterns (e.g. Service bus, Event Hub, Storage Queues) and cloud storage technologies ( e.g. Cosmos DB)
- Experience in deploying, monitoring, and operating services in the cloud.
- Industry experience with cloud technologies (Azure, AWS, Google).
- Familiarity with modern engineering practices such as CI/CD and version control systems like Git.
- Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, LLM-based coding assistants) to improve engineering productivity, code quality, and software delivery.
- Problem-solving skills, with a data-driven approach to debugging and performance optimization.
- Communication and collaboration skills.
- Problem-solving, troubleshooting, and organizational skills.
- Experience with or exposure to Agile and iterative development processes.
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:
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.