Solution Engineering

Microsoft Microsoft · Big Tech · Gurugram, HR, IN · Solution Engineering

Solution Engineer for Azure Platform, focusing on modernizing customer infrastructure and designing architectures for AI workloads and business-critical applications. Involves cloud migration, containerization, hybrid networking, and leveraging AI/intelligent agents for legacy transformation. Requires strong understanding of Azure security and compliance.

What you'd actually do

  1. Drive technical sales by using technical demos, proofs of concept, and technical architecture accelerators to influence solution design and enable deployments.
  2. Lead architecture sessions and technical workshops to accelerate Azure adoption.
  3. Build trusted relationships with platforms leads to co-design secure, scalable solutions.
  4. Resolve technical blockers by collaborating with engineering and sharing customer insights.
  5. Maintain expertise in cloud migration (Windows, SQL, Linux, PostgreSQL, app workloads), resiliency, security, and compliance.

Skills

Required

  • 5+ years technical pre-sales or technical consulting experience
  • Proven experience in cloud infrastructure, including migration and modernization of workloads such as Windows, SQL, Linux, and PostgreSQL.
  • Experience designing or selling solutions involving hybrid networking, secure connectivity, or network performance optimization in enterprise environments.
  • Hands-on experience with Azure Kubernetes Service (AKS), App Platform, and containerization strategies.
  • Strong understanding of Azure services, including security, compliance, and hybrid cloud scenarios.
  • Ability to engage technical and business stakeholders to design and deploy scalable, secure cloud solutions.

Nice to have

  • Bachelor's Degree in Computer Science, Information Technology, or related field
  • Master's Degree in Computer Science, Information Technology, or related field
  • support for earning industry-recognized certifications across Azure infrastructure, security, and AI.

What the JD emphasized

  • modernize their infrastructure
  • support AI workloads
  • migrating core workloads
  • modernization using the 6R strategy
  • exploring how AI and intelligent agents can accelerate legacy transformation
  • strong networking knowledge
  • enterprise performance and compliance needs
  • secure, optimized, and scalable migration experience
  • solid understanding of Azure security services and compliance frameworks
  • meet regulatory requirements