Python Developer - TDD, G3 Stack, ML/Automation SSF

Experis Technology Group; South San Francisco (CA); On-site; USD 59,000 - 79,000; Full time

Benefits offered by this job

Medical Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending

Life Insurance

Disability Insurance

Travel Insurance

401(k) with Match

Weekly Pay

Job summary

ManpowerGroup’s client in South San Francisco is seeking a Python Developer to join the team. You will build and maintain Python applications using a TDD approach, ensuring reliable, testable releases within the G3 stack environment.

The ideal candidate will have strong problem-solving and communication skills, a quality-first mindset, and the ability to contribute to workflow automation. This on-site role offers competitive pay and opportunities to work with ML-related initiatives.

Qualifications

• 4–6 years Python development experience (Tier 2) or 5–8 years (Tier 3).
• Experience with the G3 stack ecosystem.
• Strong fundamentals in data structures and algorithms.
• Proven debugging skills to diagnose and resolve issues.
• Experience developing applications using TDD practices.

Responsibilities

• Build and maintain Python applications using a TDD approach.
• Apply data structures and algorithms knowledge to design efficient solutions and improve performance.
• Use strong debugging skills to investigate issues, trace root causes, and deliver fixes.
• Develop application features within a G3 stack environment with relevant tooling.
• Support workflow automation; machine learning experience is a plus.

Skills

Python

Algorithms & data structures

Test-driven development

Debugging

G3 stack

Problem solving

Communication

Tools

G3 stack

Job description

ManpowerGroup’s client in South San Francisco is seeking a Python Developer to join the team. You will build and maintain Python applications using a TDD approach, ensuring reliable, testable releases within the G3 stack environment.

The ideal candidate will have strong problem-solving and communication skills, a quality-first mindset, and the ability to contribute to workflow automation. This on-site role offers competitive pay and opportunities to work with ML-related initiatives.