Software Engineer II
Microsoft
Software Engineer II
Redmond, Washington, United States
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Overview
Do you want help lead the developer cloud revolution? Are you passionate about building great software that is deceptively simple, robust, reliable and fast?
Microsoft Dev Box team delivers a fast-growing Azure service that helps drive enterprises to move to the cloud by providing a streamlined, self-service, and cost optimized solution. We are looking for an experienced Software Engineer II to help us take the next step in our evolution by delivering a standalone SaaS service that delivers high quality cloud-based developer environments to development teams.
We are passionate about every detail of the end user experience. This includes simplicity of function, automation, performance, reliability and security. The right candidate for this role will be motivated to build great software that meets these challenges at cloud scale.
If you enjoy startup projects, value collaboration, and are skilled in design and implementation of full stack microservices, let's have a conversation!
We take pride in our team whose most important values are respect, curiosity, engineering excellence, fun, and family. If this sounds like a fantastic opportunity, we would love for you to join our team on this incredible journey!
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.
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.
- 1+ year(s) of experience with Cloud Services
- 1+ year(s) of experience using Generative AI to build features and experiences
Other Requirements:
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:
- Master'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.
- Experience in building AI-driven applications, prompt engineering and model evaluation.
- Familiarity with building applications and services in the cloud
- SQL, Kusto and Machine Learning (ML)
- Self-driven and ability to work with minimal direction to research solutions to challenging business/technical problems.
- Passion for data-driven approach to software engineering
Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 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 $131,400 - $215,400 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
Microsoft will accept applications and processes offers for these roles on an ongoing basis.
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Responsibilities
- Work with appropriate stakeholders (e.g., project manager, technical lead) to determine user requirements for a set of features.
- Contribute to processes for the architecture of a product/solution feature and help to create proposals for architecture by testing design hypotheses and helping to refine code plans, with technical leadership from others.
- Create and implement code for a product, service, or feature, reusing code as applicable. Write and learn to create code that is extensible and maintainable.
- Monitor system performance, troubleshoot issues, and ensure reliability and security across services.
- Learn, drive and improve modern software engineering practices across design/code reviews, testing and deployment.
- Participate in agile development practices, including sprint planning, code reviews, and continuous integration.
- Leverage Artificial Intelligence (AI) to improve engineering processes used by the team and reduce manual efforts.
- Design and build AI-driven features to improve experience for customers while using Microsoft Dev Box.
- MS Culture & Values: Embody our Culture and Values.