TestOps EngineeringContact
-Tell me about your QA goals
-Share your current setup, problems, and timeline. I'll review and send back a scoped recommendation and quote.
-Before publishing: replace YOUR_EMAIL@example.com in the form action with your email.
Contact
-Share your current setup, problems, and timeline. I'll review and send back a scoped recommendation and quote.
-Before publishing: replace YOUR_EMAIL@example.com in the form action with your email.
Quality Engineering · Test Automation · AI-Assisted Testing
-- 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. -
-Who this is for
-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
-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
-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
-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.
-Services
-Engagements are scoped, time-boxed, and documented. Your team owns everything after handoff — no dependency on us.
- -QA Audit & Roadmap
-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 Automation
-From API contract tests to full E2E suites. Designed for maintainability, parallelization, and fast feedback — not just to check a box.
-Release Quality & Reliability
-Systematic flakiness reduction, stabilization, and observability improvements so your CI signal means something — and your team trusts it again.
-AI & LLM Testing
-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.
-How it works
-A focused engagement model that respects your sprint calendar and delivers results in weeks, not quarters.
-We learn your stack, your pain points, and your timeline. No prep deck required — just bring your problems.
-Clear deliverables, timeline, and price. No hourly billing. No scope surprises. You approve before any work begins.
-Weekly check-ins. We work in your tools — Jira, Slack, GitHub. No overhead. Just execution.
-Everything documented. No dependency on us. Your team runs it forward independently from day one.
-Selected work
-Across Google Pixel, Meta, Apple, Samsung, and Hulu. These are the kinds of problems we solve.
- -Mobile · Reliability · CI
-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.
-* Replace these metrics with your real numbers before going live
-API Coverage · Regression
-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.
-* Replace these metrics with your real numbers before going live
-Tech stack
-Add or remove anything that doesn't match your actual stack before going live.
-Pricing
-Every project is different. Share your goals through the Contact page and I'll send a tailored scope and quote.
- -Not sure which engagement fits? Use the Contact page and I'll recommend the best starting point.
-Contact
++ Share your current setup, problems, and timeline. I'll review and send back a + scoped recommendation and quote. +
+Quality Engineering · Test Automation · AI-Assisted Testing
++ 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. +
+Who this is for
++ 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
++ 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
++ 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
++ 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. +
+Services
++ Engagements are scoped, time-boxed, and documented. Your team owns everything after + handoff — no dependency on us. +
+ +QA Audit & Roadmap
++ 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 Automation
++ From API contract tests to full E2E suites. Designed for maintainability, + parallelization, and fast feedback — not just to check a box. +
+Release Quality & Reliability
++ Systematic flakiness reduction, stabilization, and observability improvements so + your CI signal means something — and your team trusts it again. +
+AI & LLM Testing
++ 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. +
++ 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. +
+How it works
++ A focused engagement model that respects your sprint calendar and delivers results in + weeks, not quarters. +
+{step.body}
+Selected work
++ Across Google Pixel, Meta, Apple, Samsung, and Hulu. These are the kinds of problems + we solve. +
+ +Mobile · Reliability · CI
++ 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. +
+API Coverage · Regression
++ 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. +
+Tech stack
++ Add or remove anything that doesn't match your actual stack before going live. +
+Pricing
++ Every project is different. Share your goals through the Contact page and I'll + send a tailored scope and quote. +
+ ++ Not sure which engagement fits? Use the Contact page and I'll recommend the best + starting point. +
+Engineering background from
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