Principal QA Platform Engineer - AI-Driven Testing Leader

Impact

Cape Town

On-site

ZAR 1,500,000 - 2,100,000

Full time

2 days ago
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Benefits offered by this job

Flexible PTO
Mental health support
RSUs

Job summary

impact.com is seeking a Principal Software Engineer for the QA Platform to own the multi‑quarter technical vision, architecture, and roadmap. You will prototype, build, and ship critical tools, including CLIs and MCPs, to empower QA engineers and developers across product groups.

This is hands‑on leadership: you’ll write production code, mentor engineers, define quality standards, incorporate AI‑assisted testing, and influence cross‑team decisions while reporting to engineering leadership and

Qualifications

  • Bachelor's degree in CS, Software Eng or related field, or equivalent experience.
  • Typically 10+ years of professional software engineering.
  • Proven track record of setting technical direction across multiple teams.
  • Hands-on backend and infrastructure engineering for distributed systems.
  • Experience with LLM/agent-based tooling and AI coding tools.

Responsibilities

  • Set the multi-quarter technical vision, architecture and roadmap for the QA platform.
  • Write code and prototype the hardest parts yourself, ensuring production reliability and security.
  • Lead technically without authority, standards, and cross-team collaboration.

Skills

Backend engineering
LLM/agent tools
AI coding tools
CI/CD at scale
Technical writing
Distributed systems
Frontend familiarity

Education

Bachelor's degree in Computer Science or related field

Tools

GCP
Kubernetes
TypeScript
Playwright
Java
Python

Job description

impact.com is seeking a Principal Software Engineer for the QA Platform to own the multi‑quarter technical vision, architecture, and roadmap. You will prototype, build, and ship critical tools, including CLIs and MCPs, to empower QA engineers and developers across product groups.

This is hands‑on leadership: you’ll write production code, mentor engineers, define quality standards, incorporate AI‑assisted testing, and influence cross‑team decisions while reporting to engineering leadership and

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