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Open nowFirst seen 3 days ago

XTN-0FB0203 | TECHNICAL PROJECT LEAD

KMC Solutions Inc1,595 open roles

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Your applicationOpen nowXTN-0FB0203 | TECHNICAL PROJECT LEADKMC Solutions Inc
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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. KMC Solutions Inc postings stay open a median of 1 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: first seen 3 days ago

KMC Solutions Inc median: 1 days open

The posting

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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