QA Engineer (Remote locations)

Halborn•Miami, FL

1d•Remote

About The Position

Halborn is seeking a QA Engineer to own the test strategy for their internal engineering platforms and client-facing products. This role involves designing, building, and maintaining automated test suites across UI, API, and data layers. The engineer will leverage LLM-assisted tooling to accelerate test authoring, generate edge cases, triage failures, and summarize regressions. A key responsibility is building and tuning quality gates in CI/CD to prevent broken builds from reaching clients and ensure rapid feedback loops. The role also includes automating manual QA processes, identifying and filing defects, partnering with security engineers to integrate security checks, and conducting performance, load, and reliability testing. The QA Engineer will define and report on quality metrics and contribute to release readiness decisions.

Requirements

3 to 5 years in QA engineering, SDET, or test automation, with a demonstrated shift from manual execution toward automated coverage.
Strong programming ability in at least one of TypeScript, JavaScript, or Python — you write test code that other engineers are willing to read and maintain.
Hands-on experience with modern automation frameworks such as Playwright, Cypress, Selenium, pytest, or equivalent.
Practical API testing experience, including contract, integration, and negative-path testing against REST or GraphQL services.
Working knowledge of CI/CD systems (GitHub Actions, GitLab CI, Jenkins, or similar) and comfort owning pipeline configuration yourself.
Daily, deliberate use of AI coding assistants and LLM tooling in your own workflow, with a clear point of view on where they help and where they must be verified.
Comfort with Git, containerized local environments, and reading application code to understand what you are testing rather than testing blind.
Excellent written communication — in a distributed, asynchronous team, a well-written bug report or test plan is the deliverable.
High autonomy and strong self-direction in a fast-moving environment where priorities shift.
Willingness to learn the technical aspects of blockchain, smart contracts, and cybersecurity.

Nice To Haves

Experience testing Web3 applications — wallet flows, testnets, RPC interactions, or smart contract tooling such as Foundry or Hardhat.
Experience building evaluation harnesses for LLM-powered features, including regression testing of non-deterministic output.
Background in security testing, OWASP methodology, or hands-on time with tools like Burp Suite.
Performance and load testing with k6, Locust, JMeter, or similar.
Experience with observability tooling and using production telemetry to find gaps in test coverage.
Open source contributions to testing frameworks or developer tooling.
Knowledgeable of the latest trends in Blockchain and DeFi.

Responsibilities

Own the test strategy for Halborn's internal engineering platforms and client-facing products, from unit and integration coverage through end-to-end and regression suites.
Design, build and maintain automated test suites in code — UI, API, and data-layer — and keep them fast, deterministic, and trusted by the engineers who depend on them.
Use LLM-assisted tooling to accelerate test authoring, generate edge cases from specs and diffs, triage failing runs, and summarize regressions for the team.
Build and tune quality gates in CI/CD so that broken builds never reach a client environment, and so that the feedback loop stays measured in minutes.
Identify manual QA processes and automate them out of existence — release checklists, environment setup, test data generation, smoke verification, reporting.
Reproduce, isolate, and file defects with unambiguous repro steps, expected versus actual behavior, and enough context for an engineer to fix it without a follow-up conversation.
Partner with security engineers to fold security regression checks — authentication, authorization, input handling, secrets exposure — into the standard pipeline.
Run performance, load, and reliability testing against services handling sensitive audit and engagement data.
Define and report the quality metrics that matter: escaped defect rate, flake rate, coverage of critical paths, and time to detection.
Contribute to release readiness decisions and act as an informed voice on whether something ships.