Lead Full-Stack Architect for AI-Driven Web Apps

Stryker

Kalamazoo (MI)

Remote

USD 120,000 - 180,000

Full time

5 days ago
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Benefits offered by this job

Medical Insurance
Prescription Drug Insurance
Dental Insurance
Vision Insurance
Critical Illness Insurance
Accident Insurance
Hospital Indemnity Insurance
Personalized Healthcare Support
Wellbeing Program
Tobacco Cessation Program
Health Savings Account
Flexible Spending Accounts
401(k) Plan
Employee Stock Purchase Plan
Basic Life and AD&D Insurance
Short-Term Disability Insurance

Job summary

Stryker is seeking an experienced full-stack engineering leader to drive architecture, development, testing, and deployment of scalable applications in a fast-paced environment.

You will modernize legacy systems, integrate Generative AI features, and mentor engineers while coordinating with business and data stakeholders to ensure reliability and performance across production systems.

Qualifications

  • Requires a bachelor’s degree in CS/Math/HCI or related field.
  • 4+ years of full-stack engineering experience.
  • Production experience with Flask, React, or Next.js; strong SQL/PostgreSQL; Azure; security knowledge; mentoring.

Responsibilities

  • Lead architecture, development, testing, and deployment of scalable full-stack apps.
  • Modernize legacy applications and integrate AI-powered features.
  • Mentor engineers and collaborate with business and data stakeholders.
  • Oversee reliability, performance, maintenance, and issue escalation.

Skills

Full-Stack Software Engineering
Technical Leadership
System Architecture
Flask
React
Next.js
SQL
PostgreSQL
Performance Tuning
Azure
Generative AI
Application Security
Mentoring
Python
Databricks
CI/CD

Education

Bachelor’s degree in Computer Science, Mathematics, Human-Computer Interaction, or related field

Tools

Flask
React
Next.js
Azure
Databricks
CI/CD
PostgreSQL
SQL

Job description

Stryker is seeking an experienced full-stack engineering leader to drive architecture, development, testing, and deployment of scalable applications in a fast-paced environment.

You will modernize legacy systems, integrate Generative AI features, and mentor engineers while coordinating with business and data stakeholders to ensure reliability and performance across production systems.

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