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About the job: Lead Fullstack Engineer (WFH) | Midshift
Work Setup: WFH
Training Sched and Setup: Nightshift and might be asked to report onsite
Schedule: MIDSHIFT 3PM-12MN MLA
Responsibilities:
Lead a team of full-stack engineers, providing technical guidance, mentorship, and code review
Design and implement robust full-stack solutions using:
React/TypeScript frontend with Mantine component library
Python backend services (Flask, FastAPI, or similar)
GraphQL APIs with Apollo Client (frontend) and Python-based GraphQL servers
Drive technical decision-making processes while balancing business requirements with technical constraints
Establish best practices for code quality, testing, and deployment processes across the entire stack
Collaborate with product management and UI/UX designers to translate requirements into technical specifications
Design and implement scalable data models and APIs to support complex business logic
Optimize application performance and ensure high availability across multiple applications
Required Skills & Experience:
5+ years of experience in full-stack development with at least 2 years in a leadership role, with experience managing others in both project work and career progression Expert knowledge of React, TypeScript, and modern JavaScript practices Strong proficiency in Python and related frameworks (Flask, FastAPI, or similar).
Experience with SQL databases, ORM technologies (SQLAlchemy), and GraphQL (Apollo Client and Python-based servers) Proficiency with UI component libraries (particularly Mantine or similar) Experience with form management in complex React applications Strong understanding of state management patterns, testing frameworks, and deployment strategies Experience with build systems, module bundlers, and CI/CD pipelines Excellent verbal and written communication skills in English for technical discussions, documentation, and knowledge sharing
Preferred Qualifications:
Experience in advertising technology or marketing analytics
Knowledge of budget management and financial data systems
Experience developing multi-app workspaces or monorepos
Familiarity with data visualization libraries and techniques
Understanding of accessibility standards and best practices