Overview
Microsoft has an exciting opportunity for a Senior Software Engineer in the Cloud+Artificial Intelligence (AI) Silver Dataverse Team. This team is responsible for deploying and operating Dataverse services within an Air-Gapped environment. This low-code no-code hyperscale software as a service (SaaS) data and AI platform is the bedrock of Microsoft Power Platform and Microsoft Dynamics 365. Our products are utilized by Fortune 500 companies for their customer relationship management (CRM) and enterprise resource planning (ERP) requirements. These offerings represent a strategic growth area for Microsoft and serve as a disruptive technology. They enable a wider range of enterprise users to develop the next generation of business productivity software through a radically simplified experience, delivering faster Return on Investment (ROI) for our customers. In this role, you will have the opportunity to work with engineers who enable a broad set of Azure services to be consumed by internal and external customers in highly secured and regulated industries. The systems and software you build will be required to meet the security policy and assurance requirements of both public and private sector customers. 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
- Identify dependencies across teams and incorporate them into design documents while collaborating to resolve conflicts
- Lead and own architecture discussions, develop complex design specifications, and ensure designs meet performance, security, and compliance requirements
- Collaborate with partner teams to ensure scalability, performance, and live-site readiness of subsystems
- Continuously update skills and share knowledge on engineering design principles and new technologies such as AI
- Utilize and develop AI software tools to improve engineering productivity and code quality
- Drive automation across production deployment to enable efficient, zero-touch releases
- Act as a designated responsible individual (DRI) for live site monitoring, incident resolution, and postmortem analysis
Qualifications
Required Qualifications
Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 2+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience.
Hands-on experience supporting complex IT environments, with a strong understanding of system and service management challenges.
Experience operating in large distributed or air-gapped environments, with a focus on reliability, security, and compliance.
Ability to build consensus and influence across teams to achieve common goals.
Recent experience with Azure or equivalent hyperscale cloud technologies.
U.S. citizenship verification is required due to legal and customer requirements for this role.
Ability to meet Microsoft, customer, and/or government security screening requirements, including an active Top-Secret clearance with CI or FSP (if CI, willingness to upgrade to FSP) and successful completion of the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred Qualifications
Master's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 3+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR Bachelor's Degree in Computer Science, Information Technology, Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Data Science, Cybersecurity, or related field AND 5+ years technical experience in software engineering, network engineering, service engineering, systems engineering, or industrial controls OR equivalent experience.
1+ year(s) technical experience working with large-scale cloud or distributed systems.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $160,200 - $261,000 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: 3dba19bd5a30abdd61135b736c045ac3
- Posted 10 days ago
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