AI-Driven Solution Engineer - Cloud & Microservices

thinkbridge

United States

Remote

USD 140,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Learning & Development Budget
Remote-First Culture
Fully paid Medical (employee + depend.
75% paid Vision (employee)
Fully funded HSA
Certification reimbursement

Job summary

thinkbridge is seeking a Solution Engineer focused on AI-powered development tools, cloud platforms (Azure, AWS, GCP), and multi-cloud enterprise apps. You will translate business needs into technical designs, build prototypes, and drive rapid delivery while ensuring security and reliability.

You’ll work with stakeholders to define requirements, choose the right mix of SaaS and custom work, and collaborate with engineers to move prototypes to production-ready solutions in a dynamic,

Qualifications

  • 10+ years overall experience in software/solution engineering or related field.
  • Proven ability to transform business concepts into production-ready solutions.
  • Hands-on with AI-powered software engineering tools and modern CI/CD.
  • Experience designing cloud-native, multi-cloud enterprise apps.

Responsibilities

  • Understand business problems with stakeholders and translate to technical outcomes.
  • Rapidly build prototypes and business apps using AI-assisted tools and low-code/no-code platforms.
  • Evaluate SaaS vs custom development and drive speed-to-outcome.
  • Transition prototypes into production-ready solutions with security and scalability in mind.

Skills

AI-powered tooling
Cloud platforms
Prototyping
Requirements gathering
Stakeholder communication
Problem solving

Tools

Claude Code
Cursor
GitHub Copilot
OpenAI
CI/CD pipelines

Job description

thinkbridge is seeking a Solution Engineer focused on AI-powered development tools, cloud platforms (Azure, AWS, GCP), and multi-cloud enterprise apps. You will translate business needs into technical designs, build prototypes, and drive rapid delivery while ensuring security and reliability.

You’ll work with stakeholders to define requirements, choose the right mix of SaaS and custom work, and collaborate with engineers to move prototypes to production-ready solutions in a dynamic,

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