Full-Stack Engineer (Backend Leaning) - CreativeVoices
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Build secure, scalable full-stack web applications using C#, .NET, ASP.NET Core, and React or comparable technologies. You'll collaborate with product managers and engineers to design REST APIs, implement secure authentication using OAuth 2.0 and Microsoft Entra ID, and develop AI-powered features using Azure OpenAI and related tools. Four or more years of software engineering experience required. Base pay ranges from $119,800 to $234,700 annually, or $160,200 to $261,000 in San Francisco Bay Area and New York City.
Written from this posting by Neural Jobs AI. The full description is below.
Microsoft Cloud Operations + Innovation is the team behind the infrastructure that powers Microsoft’s cloud. Within the organization, our engineering teams build secure, scalable, and intelligent platforms that support complex planning, execution, and operational workflows to support Microsoft's capacity delivery expansion plans.
We are looking for a Senior Software Engineer with strong full-stack development experience. You will work closely with product managers, engineering teams, and business stakeholders to translate complex requirements into reliable, maintainable, and intuitive solutions. Familiarity with project scheduling, construction scheduling, or planning systems is helpful but not required.
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. We build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Collaborate with product managers, engineering teams, and business stakeholders to understand user needs and translate requirements into secure, scalable, and accessible full-stack solutions.
Design, develop, test, and operate modern web applications using C#, .NET, ASP.NET Core, REST APIs, and front-end technologies such as React, TypeScript, JavaScript, Blazor, or comparable frameworks.
Create, optimize, debug, refactor, and reuse high-quality code to improve application performance, reliability, security, accessibility, maintainability, and operational efficiency.
Design and implement secure service integrations using REST APIs, OpenAPI specifications, OAuth 2.0, Microsoft Entra ID, managed identities, role-based access control, and API management patterns.
Build AI-powered applications and agents using Microsoft Foundry, Foundry Agent Service, Azure OpenAI, Azure AI Search, Microsoft Agent Framework, Semantic Kernel, or related technologies, including grounding, tool integration, orchestration, evaluation, monitoring, and responsible AI controls.
Apply AI-assisted engineering tools and practices to improve development velocity and quality across requirements analysis, architecture, coding, code review, testing, debugging, modernization, documentation, and live-site investigation.
Develop agent tools and integrations that securely connect AI experiences to enterprise APIs, data sources, workflows, and business systems while respecting user identity, authorization, data boundaries, and least-privilege access.
Partner with other engineering teams to identify dependencies, resolve complex system-integration challenges, and develop design documents for products, services, APIs, and platform capabilities.
Participate in architecture reviews, code reviews, release planning, testing, deployment, telemetry implementation, and production readiness activities.
Support live-site operations as a Designated Responsible Individual when appropriate, investigate service degradation, communicate status, and contribute to restoring service for complex issues.
Proactively learn and apply emerging engineering and AI patterns that improve system availability, observability, security, performance, evaluation quality, and operational consistency at scale.
Share reusable code, prompts, agent tools, evaluation assets, engineering practices, and technical learnings with the broader engineering community.
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:
#COICareers | #EPCCareers | #DCDCareers
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:
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.
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Microsoft builds Windows, Azure, Office and the Copilot family of AI assistants, and operates one of the largest AI training and inference fleets in the world. Microsoft Research and the AI platform teams work across foundation models, systems for large-scale training, and applied ML in every product line.
Founded in 1975 and headquartered in Redmond, Washington, the company is also OpenAI's principal compute partner and ships AI tooling for developers through GitHub, VS Code and Azure AI.
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