Lead Full-stack Software Engineer (Remote)
Workday Profile: Application Development – G11
Join a team where your technical leadership and mentorship can shape the future. As a Lead Full-stack Software Engineer, you will move beyond building applications to designing, leading, and guiding the engineering direction of our internal web solutions for US Customer Solutions. You will set the bar for engineering excellence, mentor junior engineers, and take ownership of system architecture while remaining hands-on with critical builds and AI-powered feature development.
This role is ideal for someone who thrives in balancing hands-on development with leading others, influencing architecture decisions, and driving innovation. You’ll partner closely with business stakeholders and data engineering to ensure our solutions are scalable, reliable, and impactful.
What You Will Do Technical Leadership \& Architecture
Design and lead the architecture of modern, scalable full-stack applications.
Provide technical guidance, code reviews, and mentorship to G9/G10 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
Act as a technical escalation point for production issues.
Oversee and improve performance, reliability, and maintainability of core apps.
What you need
Required:
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).
Strong skills in SQL design, performance tuning, and Azure-based services (including AI-powered features).
Demonstrated experience mentoring and developing engineers.
Preferred:
Master’s degree in Computer Science or related field.
Experience with Python, Databricks, and cloud-native architectures.
Experience designing and deploying AI-powered features into business applications.
Strong stakeholder engagement skills, especially in commercial or MedTech environments.
We prefer candidates with relevant web development projects being showcased on their GitHub or webpage for us to review and make our tech panel interview selection. Candidates with LinkedIn recommendations from colleagues, peers, or managers are highly valued.