Practice · QA & Test Automation
QA engineers who make releases boring — in the best way
Manual and automation engineers embedded into scaled delivery teams. Most of our long-running engagements include our QA — because clients who scale with us keep asking for it.
100+engineers on staff
72%Senior / Lead level
5.6%attrition — industry low
~2 wksto a productive engineer
What we staff
Quality across the delivery pipeline
Test automation — unit, integration and E2E suites across stacks: PHPUnit, MFTF, GoogleTest, Catch2.
CI-integrated testing — automation wired into GitLab CI, Jenkins and GitHub Actions pipelines.
AI-assisted testing — engineers use AI tooling to generate and maintain test suites, within your governance: client-approved tools only.
QA for AI systems — testing LLM apps and ML features: evaluation sets, regression for non-deterministic outputs, guardrail checks.
Performance testing — load and stress testing with JMeter for high-traffic releases.
Manual QA — exploratory and regression testing where automation doesn't reach.
Regulated-industry rigour — release processes proven in insurance, finance and energy engagements.
Embedded by design — QA joins your existing team and rituals, not a separate silo.
Proof
Where our QA already works
AdoptionMost teamsof our scaled engagements include HipTech QA
IndustriesRegulatedrelease hardening in insurance, finance and energy
ToolingCI-nativeautomation lives in your pipelines, not in reports
How it works
From brief to a productive engineer
48 h
First CVs
Pre-vetted, from the bench.
2–5 d
Full shortlist
Bench roles; sourced: 2–3 weeks.
Your call
Interview
You assess and decide.
~2 wks
Productive
DM-led onboarding.
Send us one QA role today.
First pre-vetted CVs within 48 hours — and a productive engineer in ~2 weeks.