Description review

Lead Software Engineer (Python, React, TS) | WFH/Remote/WAH

TASQ Staffing Solutions · United States · back to the listing

HR standards

28/100

poor

Title ↔ description

86/100

strong

Reads as

Full-Stack Engineer

99% confident

How others title the same work

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What the listing never says

  • 16 bullet points. Long requirement lists deter qualified candidates, who read them as hard gates. Scope clarity
  • No section describes what the person would actually do. Scope clarity
  • No pay range published. Candidates cannot tell whether applying is worth their time. Pay transparency

The listing, marked up

Nothing in the wording of this listing tripped a check. The scores above still judge how complete and coherent it is.

Lead Full Stack Engineer

Work Setup: WFH (must be PH-based Filipino residents)

Schedule: MIDSHIFT 3 PM-12 MN MLA

Training Sched and Setup: Nightshift, and might be asked to report onsite

Must Have Qualifications:

• Experience working on a Mid-shift schedule

• 5+ years of experience in full-stack development with at least 2 years in a leadership role

• Hands-on experience with 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 a real-time data processing system

Originally posted on Himalayas