Lead Full-Stack Software Engineer (Remote)

As a Lead Full-Stack Software Engineer, you will go beyond building applications to design, lead, and guide the engineering direction of our internal web solutions for US Customer Solutions. You will set the standard for engineering excellence, mentor junior engineers, and own system architecture while remaining hands-on with critical builds and AI-powered feature development. You’ll partner closely with business stakeholders and data engineering to deliver scalable, reliable, and impactful solutions while balancing hands-on development, team leadership, architectural influence, and innovation.

Technical Leadership & Architecture

Design and lead the architecture of modern, scalable full-stack applications.
Provide technical guidance, code reviews, and mentorship to junior engineers.
Lead integration of AI-powered features into existing and new applications.
Collaborate with product and business stakeholders to align engineering solutions with business objectives.

Software Engineering – New Development

Lead design, development, testing, and deployment of greenfield full-stack applications.
Drive modernization efforts: migrate and redesign legacy apps into Flask/Next.js.
Partner with the data engineering team to modernize ETL pipelines.

Maintenance & Reliability

Support maintenance, enhancements, and upgrades of assigned applications
Act as a technical escalation point for production issues.
Oversee and improve performance, reliability, and maintainability of core apps.

What You Need:

Required Qualifications

Bachelor’s degree in Computer Science, Mathematics, Human-Computer Interaction, or related field.
4+ years of full-stack software engineering experience.
Proven experience leading design and development of production-grade web applications (Flask, React, Next.js) with and without GenAI coding tools (Claude Code, Cursor, etc.).
Strong skills in SQL design, Postgres, performance tuning, and Azure-based services (including AI-powered features).
Application Security – Intra and SD element.
Experience mentoring and developing engineers.

Preferred Qualifications

Experience with Agentic development, AI Automation, GitHub Actions, and CI/CD.
Experience with Python, Databricks, and cloud-native architecture.
Experience designing and deploying AI-powered features into commercial applications.
Strong stakeholder engagement skills, especially in commercial or MedTech environments.