XTN-0FB0203 | TECHNICAL PROJECT LEAD at KMC Solutions Inc | GlassEver Jobs

XTN-0FB0203 | TECHNICAL PROJECT LEAD at KMC Solutions Inc | GlassEver Jobs

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Jobs / XTN-0FB0203 | TECHNICAL PROJECT LEAD

XTN-0FB0203 | TECHNICAL PROJECT LEAD

United States Oct 03, 2026
Technical-Project-Lead Software-Engineer Engineering-Manager Backend-Engineer Technical-Lead Technical-Project-Manager Senior-Technical-Project-Manager Principal-Technical-Project-Manager Senior-Technical-Project-Management

Job Description

Role Overview

This is a hands-on technical leadership role responsible for driving end-to-end project delivery, system design, and engineering excellence across AI-driven platforms. The Technical Project Lead will combine strong coding expertise with team leadership, ensuring scalable architecture, high code quality, and timely execution.

• Health Insurance/HMO

• Enjoy unlimited MadMax Coffee

• Diverse learning & growth opportunities
• Accessible Cloud HR platform (Sprout)

• Above standard leaves
Key Responsibilities
  • Lead end-to-end technical delivery of products and platform features
  • Design scalable backend, frontend, and AI-driven system architectures
  • Actively contribute to hands-on coding (Python, FastAPI) and critical feature development
  • Conduct thorough code reviews and enforce engineering best practices
  • Manage and mentor a team of up to 5 engineers
  • Break down product requirements into technical tasks and execution plans
  • Drive DevOps practices, CI/CD implementation, and cloud-native deployments
  • Ensure system reliability, scalability, and performance optimization
  • Collaborate closely with product, data, and business stakeholders
  • Promote adoption of AI, LLM pipelines, and automation in engineering workflows
Required Experience & Skills
  • 5+ years of professional software engineering experience
  • Strong hands-on backend development expertise with Python and FastAPI
  • Experience in system design, distributed systems, and scalable architectures
  • Proven experience managing or mentoring small engineering teams (up to 5 members)
  • Solid understanding of cloud infrastructure and cloud-native development
  • Experience with DevOps, CI/CD pipelines, and deployment best practices
  • Familiarity with AI-driven systems, LLM integrations, and data pipelines
  • Strong debugging, performance optimization, and problem-solving skills
.

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