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Senior Solutions Engineer - Developer Productivity & AI

Microsoft· Solution Engineering
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Singaporefull-timePosted 1w ago

About the role

Software Solution Engineer focusing on Developer Productivity and AI to help enterprises modernize SDLC, adopt Agentic SDLC practices, and build AI-powered, secure, scalable software delivery pipelines using GitHub, Visual Studio, VS Code, and Azure AI Foundry.

Responsibilities

  • Drive technical sales engagements with developers, engineering leaders, and technical decision-makers, using demos and proofs of concept (PoCs) to influence solution design, demonstrate value, and enable production deployments.
  • Lead hands-on engagements, including hackathons, code-with sessions, and architecture workshops, to accelerate adoption of Microsoft’s developer tools, AI capabilities, and cloud platforms.
  • Guide customers in modernizing their software development lifecycle (SDLC) and adopting Agentic SDLC practices, integrating AI-assisted coding and AI agents into planning, development, testing, code review, deployment, and operations.
  • Build trusted relationships with developers, platform leads, and AI decision-makers to co-design secure, scalable architectures for AI-powered applications and agentic development workflows, incorporating human oversight and enterprise governance.
  • Resolve technical blockers and objections, collaborating with product and engineering teams to communicate customer feedback, inform product improvements, and accelerate adoption.
  • Maintain deep technical expertise in GitHub, Visual Studio, Visual Studio Code, AI-assisted development tools, Azure AI Foundry and its SDKs, CI/CD, DevOps, and cloud-native development, including APIs, containers, and microservices.
  • Help customers define and evaluate success criteria for technical engagements, connecting improvements in developer productivity, software quality, security, and delivery speed to business outcomes.
  • Represent Microsoft through technical thought leadership, demonstrations, and knowledge sharing in developer communities and customer forums

Qualifications

  • Master’s degree in Computer Science, Information Technology, or a related field AND 8+ years of technical pre-sales or technical consulting experience; OR bachelor’s degree in Computer Science, Information Technology OR equivalent experience.
  • Familiarity with DevOps and DevSecOps practices, including version control, continuous integration and continuous delivery (CI/CD), automated testing, and security integration across the software development lifecycle (SDLC).
  • Familiarity with AI-assisted coding tools, such as GitHub Copilot, Codex, or Claude Code, and their application to developer productivity and software engineering workflows.
  • Understanding of Agentic SDLC concepts, including how developers and AI agents can collaborate across planning, coding, testing, code review, and deployment, with appropriate human oversight and governance.

Skills

Required:DevOps and DevSecOpsAI-assisted coding toolsAgentic SDLC
Nice to have:Cloud architecture & platform experience
Last updated Oct 16, 2026. Interested? Apply on the company site.

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