Quality Assurance (QA) Engineer

Glasslake (Formerly Luzid); São Paulo; Hybrid; BRL 451,000 - 702,000; Full time

Benefits offered by this job

Competitive compensation

Meaningful equity

Job summary

Glasslake is rewriting SAP delivery by building an orchestration platform that captures decisions and tests to form an organizational memory across projects. You will own the automated testing ecosystem, create evaluation harnesses for agent outputs, and define quality gates to ensure reliable releases.

You will work with a tight, high-ownership team, shaping the QA function at an early-stage company and collaborating across engineering, product, and leadership to deliver trusted,

Qualifications

• 3+ years in QA, SDET, or test engineering with ownership of automated coverage for a production product.
• Strong test automation skills in Python and/or TypeScript, including a modern E2E framework (Playwright, Cypress, or equivalent) and API-level testing.
• CI/CD fluency and ownership of pipelines.
• Ability to test systems without deterministic outputs (LLM/ML outputs).
• Judgment about defect severity and release impact.
• AI-native approach and tooling in daily workflow.
• High agency in undefined environments with no playbook.
• Professional-to-fluent English communication.
• Prior work at an early-stage company where QA was created rather than joined.

Responsibilities

• Own the automated test suite: build and maintain end-to-end, integration, and regression coverage across the platform.
• Build the evaluation harness for agent output: golden datasets, scoring criteria, regression testing for LLM artifacts.
• Define the quality gates: decide release blockers and write criteria.
• Own CI reliability: address flaky tests and slow pipelines.
• Run exploratory and release testing on paths automation misses, especially customer workflows.
• Triage and drive defects to closure with reproducible cases and clear severity.
• Feed quality signal back into the product and roadmap.

Skills

QA experience

Test automation (Python/TypeScript)

CI/CD fluency

Evaluation of non-deterministic output

Severity judgment

AI tooling fluency

High agency

English proficiency

Startup experience

Tools

Playwright

Cypress

Job description

Glasslake is building the operating system for SAP delivery — the infrastructure layer underneath the most complex and expensive IT projects companies run. SAP implementations move billions of dollars and thousands of consultants, but the knowledge generated in these projects is never captured: it lives in people's heads, disappears when the project ends, and gets rebuilt from scratch on every new engagement.

Glasslake solves this with an agentic orchestration platform that coordinates every phase of SAP transformation, capturing decisions, tests, and context as a byproduct of work already underway — building an organizational memory that accumulates across projects instead of resetting.

We're a team based in San Francisco and São Paulo, moving fast and already deployed with some of the largest SAP integrators in the world, including delaware Consulting, KPMG, and NTT Data. The team comes from Stanford, Meta, McKinsey, Two Sigma, Microsoft, Robinhood, and NASA.

About Glasslake

Glasslake is building the operating system for SAP delivery — the infrastructure layer underneath the most complex and expensive IT projects companies run. SAP implementations move billions of dollars and thousands of consultants, but the knowledge generated in these projects is never captured: it lives in people's heads, disappears when the project ends, and gets rebuilt from scratch on every new engagement.

Glasslake solves this with an agentic orchestration platform that coordinates every phase of SAP transformation, capturing decisions, tests, and context as a byproduct of work already underway — building an organizational memory that accumulates across projects instead of resetting.

We're a team based in San Francisco and São Paulo, moving fast and already deployed with some of the largest SAP integrators in the world, including delaware Consulting, KPMG, and NTT Data. The team comes from Stanford, Meta, McKinsey, Two Sigma, Microsoft, Robinhood, and NASA.

The Opportunity

Glasslake generates functional specifications, configuration, and test artifacts for SAP implementations. Our customers are consultants running multi-million dollar programs, and they act on what the platform produces. A confidently wrong output is worse than no output at all: it survives review, reaches a client deliverable, and is discovered at go-live. Preventing that is the job.

So this role is two things at once. It is conventional software QA — automated end-to-end coverage, regression suites, CI discipline, release confidence. And it is evaluation engineering for non-deterministic systems: building the harnesses, golden datasets, and scoring criteria that tell us whether an agent's output is actually correct, and whether last week's prompt change quietly made it worse.

What You'll Do

• Own the automated test suite.Build and maintain end-to-end, integration, and regression coverage across the platform, and keep it fast and trustworthy enough that people actually act on a red build.
• Build the evaluation harness for agent output.Golden datasets, scoring criteria, and regression testing for LLM-generated artifacts — so we can tell a prompt or model change that improved things from one that broke them.
• Define the quality gates.Decide what blocks a release, write the criteria down, and hold the line when there is pressure to ship.
• Own CI reliability.Flaky tests, slow pipelines, and unclear failures are quality problems in their own right, and they are yours.
• Run exploratory and release testingon the paths automation does not reach, particularly the customer-facing workflows consultants use under deadline pressure.
• Triage and drive defects to closurewith reproducible cases, clear severity calls, and follow-through until the fix is verified.
• Feed quality signal back into the product.You will see the failure patterns before anyone else; that belongs in the roadmap, not just in a bug tracker.

What We're Looking For

Required

• 3+ years in QA, SDET, or test engineeringwith real ownership of automated coverage for a production product.
• Strong test automation skillsin Python and/or TypeScript, including a modern E2E framework (Playwright, Cypress, or equivalent) and API-level testing.
• CI/CD fluency.You have built and maintained pipelines, and you have opinions about what belongs in one.
• Comfort testing systems without deterministic outputs.Either direct experience evaluating LLM or ML output, or a clear, credible approach to how you would do it.
• Judgment about severity.You can tell the difference between a cosmetic defect and one that will cost a customer their go-live date, and you prioritize accordingly.
• AI native.You use AI tooling in your daily workflow and treat it as a force multiplier rather than a shortcut.
• High agency in an environment with no playbook.You will be defining the function, not staffing it.
• Professional-to-fluent English.
• Prior work at an early-stage company where QA was something you created rather than joined.

Nice to have

• Experience evaluating LLM-powered or agentic features in production: eval design, hallucination detection, human-in-the-loop review workflows.
• Familiarity with enterprise software ecosystems — SAP, Salesforce, ERP or CRM more broadly — or willingness to learn the domain deeply.
• SAP testing tooling exposure (Tricentis, Worksoft, or comparable), or experience with SAP test cycles and UAT.
• Performance, load, or security testing experience.
• You write code well enough to fix the bug, not just file it.

Why Join Glasslake Now

• Define the function.You are building the quality bar for the company, not maintaining someone else's suite.
• A genuinely hard testing problem.Non-deterministic output, enterprise-grade consequences, and no established playbook for either.
• Real stakes.Your work sits between an agent's output and a multi-million dollar client deliverable.
• Direct accessto engineering, product, and the founding team.
• Competitive compensationwith meaningful equity.