Remote Lead Full-Stack Engineer — AI-Powered, Scalable Apps

Stryker

Oregon

Hybrid

USD 120,000 - 190,000

Full time

7 days ago
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Job summary

Stryker is seeking a Lead Full-Stack Software Engineer to shape the engineering direction of internal web solutions for US Customer Solutions. You will mentor engineers, own system architecture, and stay hands-on with critical builds and AI-powered features.

Responsibilities include leading design, development, testing, and deployment of modern apps, modernizing legacy systems, and collaborating with data engineering and stakeholders to deliver scalable, reliable solutions.

Qualifications

  • Bachelor's degree in Computer Science, Mathematics, HCI, or related field.
  • 4+ years of full-stack software engineering experience.
  • Proven experience leading design and development of production-grade web apps with Flask, React, Next.js.
  • Strong SQL design, Postgres performance tuning, and Azure-based services.
  • Experience mentoring and developing engineers.

Responsibilities

  • Design and lead architecture of modern scalable full-stack apps.
  • Provide technical guidance, code reviews, and mentorship to juniors.
  • Lead AI-powered feature integration into apps.
  • Collaborate with product and business stakeholders to align solutions with objectives.
  • Lead design and deployment of greenfield applications and modernization of legacy systems.

Skills

Full-stack engineering
Mentorship
Architecture design
AI feature integration
Stakeholder collaboration

Education

Bachelor's degree in CS or related field

Tools

Flask
React
Next.js
SQL / Postgres
Azure services

Job description

Stryker is seeking a Lead Full-Stack Software Engineer to shape the engineering direction of internal web solutions for US Customer Solutions. You will mentor engineers, own system architecture, and stay hands-on with critical builds and AI-powered features.

Responsibilities include leading design, development, testing, and deployment of modern apps, modernizing legacy systems, and collaborating with data engineering and stakeholders to deliver scalable, reliable solutions.

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