Quality Engineering · Test Automation · AI-Assisted Testing

Your team ships fast.
We make sure it doesn't
break
in production.

TestOps Engineering brings senior-level QA strategy, automation, and AI-assisted testing to startups and growing tech teams — without the overhead of a full-time hire.

testops-audit v2 — zsh
$ testops audit --ai-scan --full
# Scanning coverage layers...
unit_coverage 87%  ✓ healthy
api_coverage 34%  ⚠ gap detected
e2e_flakiness 22%  ✗ critical
# AI model test coverage...
llm_eval_tests none  ✗ missing
prompt_regress none  ✗ missing
# CI pipeline analysis...
avg_build_time 18m 43s ⚠ slow
parallelization none   ✗ opportunity
✓ Roadmap generated — 12 findings
$

Engineering background from

Built for teams that are moving fast
and need quality to keep up

Not every team needs a full-time QA lead. Many just need someone who's done it at scale — and can get them there without the overhead.

Startups · Seed–Series B

You're shipping fast with no QA process

Your engineers test their own code, CI is slow or flaky, and you've had a production incident you shouldn't have. You need QA infrastructure built from scratch — right the first time.

Mid-size Tech · 50–500 eng

Your automation exists, but it's not working

You have tests, but they're flaky, slow, or nobody trusts them. Your CI pipeline is a black box. You need someone to audit, fix, and hand it back — properly documented and owned by your team.

AI & ML Product Teams

You're shipping AI features with no eval strategy

Your product has LLM-powered features, but there's no regression strategy for prompts or model behavior. You need AI-aware QA — a fast-growing gap most consultants can't fill.

Everything from audit
to full automation build

Engagements are scoped, time-boxed, and documented. Your team owns everything after handoff — no dependency on us.

QA Audit & Roadmap

Current-state assessment

A structured review of your test pyramid, CI pipeline, and coverage gaps — with a prioritized 30/60/90-day plan your engineering team can actually execute.

  • Test pyramid health check
  • CI/CD signal analysis
  • Risk-based coverage gap mapping
  • Prioritized improvement roadmap

Test Automation

Frameworks built to last

From API contract tests to full E2E suites. Designed for maintainability, parallelization, and fast feedback — not just to check a box.

  • API + UI automation (Python, Appium)
  • CI integration & quality gates
  • Parallelization & reporting
  • Android / ADB tooling

Release Quality & Reliability

Stop flaky tests killing CI

Systematic flakiness reduction, stabilization, and observability improvements so your CI signal means something — and your team trusts it again.

  • Flaky test triage & quarantine
  • Root-cause debugging
  • Failure observability setup
  • Stabilization backlog planning
In demand 2026

AI & LLM Testing

Eval strategy for AI-powered products

Most teams shipping AI features have no regression strategy for prompt behavior or model outputs. We build eval pipelines, prompt regression suites, and LLM quality gates.

  • LLM eval framework design
  • Prompt regression testing
  • Model output validation
  • AI feature QA strategy

AI-assisted testing is not a trend — it's the new baseline

89% of engineering orgs are piloting AI in their QA processes in 2026. Only 15% have done it right. We help teams bridge that gap with pragmatic, production-ready AI testing strategies — not vendor hype.

AI-ready practice

From first call to shipped improvement

A focused engagement model that respects your sprint calendar and delivers results in weeks, not quarters.

01 · Discovery

Free 30-minute call

We learn your stack, your pain points, and your timeline. No prep deck required — just bring your problems.

02 · Proposal

Scoped, fixed-price plan

Clear deliverables, timeline, and price. No hourly billing. No scope surprises. You approve before any work begins.

03 · Engagement

Async-first, embedded work

Weekly check-ins. We work in your tools — Jira, Slack, GitHub. No overhead. Just execution.

04 · Handoff

Full docs, your team owns it

Everything documented. No dependency on us. Your team runs it forward independently from day one.

Real problems,
real outcomes

Across Google Pixel, Meta, Apple, Samsung, and Hulu. These are the kinds of problems we solve.

Mobile · Reliability · CI

Reduced flaky test rate from 22% to under 3%

A mobile hardware team shipping weekly was blocked by unreliable CI — false failures eating 6+ hours of eng time per sprint. Introduced a quarantine policy, stabilization backlog, and diagnostic reruns with structured logging. Eliminated two release-blocking incidents in the first month.

Android · ADBPythonCI/CDMobile hardware
−86%Flakiness rate
Release velocity
6hSaved per sprint

API Coverage · Regression

Built API test coverage catching regressions missed by UI-only suite

UI-only test suite was missing regressions in backend flows. Built a contract testing layer with data setup helpers and CI quality gates. Caught 3 production-bound bugs in the first week — before they reached staging or customers.

PostmanCharles ProxyPythonAPI testing
+61%API coverage
3Bugs caught wk 1

Tools we work with

Add or remove anything that doesn't match your actual stack before going live.

PythonAutomation
AppiumMobile UI
ADBAndroid
Charles ProxyNetwork
JenkinsCI/CD
GitHub ActionsCI/CD
Android StudioMobile
LLM EvalsAI testing

Scoped engagements,
custom quote

Every project is different. Share your goals through the Contact page and I'll send a tailored scope and quote.

QA Audit

  • 1-week engagement
  • Test pyramid assessment
  • CI/CD pipeline review
  • Written findings report
  • 30/60/90-day roadmap
  • 1 follow-up call included
Contact for quote →

AI & LLM Testing

  • LLM eval framework setup
  • Prompt regression test coverage
  • Model output validation criteria
  • Safety and edge-case test design
  • CI quality gates for AI features
  • Actionable reporting for releases
Contact for quote →

Not sure which engagement fits? Use the Contact page and I'll recommend the best starting point.