Lead Full-Stack Engineer: Azure Cloud & AI Solutions

Franklin Fitch

Chicago (IL)

On-site

USD 140,000 - 190,000

Full time

8 days ago
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Job summary

Franklin Fitch is seeking a Lead Full Stack Software Engineer to drive the design and delivery of enterprise applications. You will own end-to-end technical leadership, mentor engineers, and guide architecture while hands-on coding across modern stacks.

The role emphasizes building scalable Azure-based solutions, collaborating with product, architecture, and business teams to modernize legacy systems and deliver AI-enabled workflow and enterprise software initiatives.

Qualifications

  • 8+ years of software engineering experience with 2-3+ years in technical leadership.
  • Strong hands-on full stack development experience.
  • C# / .NET and React or Next.js expertise.
  • Production experience building Azure-based applications.
  • Experience with REST and/or GraphQL APIs, microservices, distributed systems.
  • CI/CD experience with Azure DevOps or GitHub Actions.

Responsibilities

  • Build and architect production-grade full stack applications.
  • Provide technical leadership, mentoring, and engineering guidance.
  • Conduct code and design reviews and establish development standards.
  • Lead technical planning, solution design, and proof-of-concepts.
  • Design APIs, microservices, and distributed applications.
  • Build and modernize applications within Microsoft Azure.
  • Partner with product and business teams to develop scalable solutions.

Skills

Technical leadership
Full stack dev
Mentoring engineers
Architectural planning
Cloud architecture

Education

Bachelor’s degree in CS/Engineering

Tools

C# / .NET
React
Next.js
Azure
Azure DevOps
GitHub Actions

Job description

Franklin Fitch is seeking a Lead Full Stack Software Engineer to drive the design and delivery of enterprise applications. You will own end-to-end technical leadership, mentor engineers, and guide architecture while hands-on coding across modern stacks.

The role emphasizes building scalable Azure-based solutions, collaborating with product, architecture, and business teams to modernize legacy systems and deliver AI-enabled workflow and enterprise software initiatives.

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