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WFH opportunity | Lead Fullstack Engineer

TASQ Staffing Solutions

United States · lead
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Job at a glance

United States
Location
Remote
Work arrangement
Lead
Seniority
TASQ Staffing Solutions
Employer
Ai Engineer jobs
Category

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 Experience with real-time data processing system

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