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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Technical Support Engineer - **Company:** Microsoft - **Location:** Redmond, WA, United States - **Experience:** Experienced - **Salary:** $86,100.0 - $169,800.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Artificial Intelligence, Software Applications, Automation of Tests, Microsoft Azure, Big Data, Microsoft Online Services, C Sharp (Programming Language), Cascading Style Sheets (CSS), Code Review, Continuous Integration, Data Systems, DevOps, Github, Python (Programming Language), Machine Learning, Node.Js, Kusto Query Language, Search Technologies, Software Construction, Software Engineering, Software Systems, Data Streaming, TypeScript, Enterprise Software Applications, Azure Data Factory, Large Language Models, Prompt Engineering, Model Validation, Information Technology, Document Classification - **Published:** August 2, 2026 - **Apply:** https://diversityjobs.com/main/sendform/8/8/28176/1/17793129?backUrl=%2Fcareer%2F17793129%2FTechnical-Support-Engineer-Washington-Redmond ## About the Role * Bachelor's Degree in Computer Science, Information Technology (IT), or related field AND 3+ years technical support, technical consulting experience, or information technology experience OR equivalent experience. 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., * 3+ years of experience developing and shipping production software services using TypeScript/Node.js, Python, or C#/.NET. * Experience building AI-powered applications, including large language models (LLMs), AI agents, prompt engineering, Model Context Protocol (MCP), machine learning models, or text classification/ranking systems. * Experience designing cloud and data solutions using Azure, large-scale datasets, Azure Data Explorer (Kusto), and retrieval technologies such as keyword, vector, or semantic search. * Experience evaluating and improving AI systems through model evaluation frameworks, RLHF, preference-based training, LLM-as-a-judge methodologies, labeled datasets, or benchmark development. * Experience implementing software quality, security, and DevOps practices, including automated testing, code reviews, CI/CD pipelines, GitHub Actions, CodeQL, dependency management, secret scanning, and branch governance. * Experience developing customer-facing or enterprise applications, including solutions for privacy, compliance, PII detection, data redaction, customer support, or operational workflows. Technical Support Engineering IC4 - The typical base pay range for this role across the U.S. is USD $86,100 - $169,800 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 $113,300 - $187,400 per year. ## Description In the Customer Service & Support (CSS) team, we are looking for engineers witha passion for building software that drives customer success. As a **Technical Support Engineer**, you will own, design, and ship the AI and software systems that resolve highly complex customer technical problems at fleet scale. This opportunity will accelerate your career growth, sharpen yoursystem-design, problem-solving, and cross-team collaboration skills, and deepenyour technical proficiency across applied AI, distributed services, andproduction engineering - becoming a domain and platform expert. 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 You'll design and ship **scalable AI and software systems**, including: - **An agent platform** - an extensible, Model Context Protocol (MCP)-basedsystem of AI diagnostic skills integrated with enterprise data services, run inside engineers' existing tools (CLI, VS Code, and chat). - **Production engineering rails** - CI-enforced quality gates, evaluationregression testing, **comprehensive data science telemetry**, and supply-chain security that let us ship AI safely and at scale. Every system is instrumented to surface performance, adoption, and quality signals in real time. - **Language-model pipelines** - training, fine-tuning (including RLHF), andautomated evaluation of models that reason over and assess support cases. - **Quality-evaluation systems** - rubric-based, LLM-as-judge evaluation thatscores case handling and surfaces coaching and compliance signals. - **Intelligent case-routing services** - classification and ranking modelsthat route cases to the right team and catch misrouted cases early. - **Privacy-preserving data tooling** - a redaction pipeline (pattern-matching transformer models LLM) that protects PII and secrets across every data flow, forming the trusted substrate the rest of the platform depends on. ## Related Videos - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Stop using Node.js like in 2020! What changed and what you can do today with Node.js](https://www.wearedevelopers.com/videos/100011-stop-using-node-js-like-in-2020-what-changed-and-what-you-can-do-today-with-node-js) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Software Engineer Salary London](https://www.wearedevelopers.com/magazine/252-software-engineer-salary-london) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [Best Paying Jobs in Technology](https://www.wearedevelopers.com/magazine/256-best-paying-jobs-in-technology) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [How Much Does a Software Engineer Make? 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