Senior QA Engineer ( Manual & Automation )

Arionkoder is an AI consulting firm helping companies build, embed, and own AI systems that drive real business outcomes. We combine Product Development, Artificial Intelligence, and Team Augmentation to craft digital products and solutions that create lasting impact — guided by a human-centric approach and a commitment to pushing the boundaries of what technology can do.

We are looking for a Senior Quality Engineer to own quality end-to-end across one of our core product teams and continuously raise the quality bar of the products you support.

You will work shoulder-to-shoulder with engineers, product managers, designers, and DevOps to shape what "done" means: defining acceptance criteria, designing test coverage that reflects real product risk, and acting as the final checkpoint before anything reaches production. You bring an _AI_ -first mindset to the craft—using _AI_ tools to accelerate test design, _automation_ , triage, and reporting, with the judgment to know when to trust the output and when not to.

This is not a role for someone who waits for tickets to be marked "ready for QA." We need a quality engineer who challenges unclear requirements, asks the uncomfortable questions early, and treats production confidence as a deliverable — measured in fewer surprises in production, faster releases, and a stronger quality culture across the teams you work with.

Required Qualifications

• _Quality Engineering / QA experience in modern software products, with demonstrable depth in both manual and _automation_ (not one bolted onto the other)._
• _Experience designing test cases, test plans, and test strategies for non-trivial systems — covering happy paths, edge cases, negative scenarios, integrations, and non-functional risks._
• _Experience building and maintaining automated test suites in production-grade CI environments, with hands-on framework decisions and ownership of flakiness, reliability, and reporting._
• _Strongexperience with at least one modern UI _automation_ tool (_Playwright_ , _Cypress_ , _Selenium_ , _Appium_ , or equivalent) and at least one _API testing_ approach (_Postman_ , REST clients, or automated API frameworks such as _RestAssured_ , _Supertest_ , Pytest+requests, or similar)._
• _Working knowledge of test case management tools (_Qase_ , _TestRail_ , _Xray_ , _Zephyr_ , or similar) and bug tracking tools (_Jira_ , Linear, Asana, or similar)._
• __CI/CD_ fluency: comfortable wiring automated tests into pipelines using _GitHub Actions_ , _GitLab CI_ , _Jenkins_ , or similar; understands quality gates, parallelization, and reporting._
• _Scripting/programming proficiency in at least one of JavaScript/TypeScript, _Python_ , _Java_ , or equivalent—sufficient to write, debug, and refactor _automation_ code without dependency on engineers._
• _Solid understanding of software testing fundamentals: risk-based testing, equivalence partitioning, boundary analysis, exploratory testing techniques, and regression strategy._
• _Strong release readiness mindset: ability to define quality gates, run release validation, and make confident go/no-go calls backed by evidence._
• _Excellent written and spoken English; comfortable working in fully remote, distributed teams._
• _Senior judgment: ability to operate autonomously, challenge unclear requirements, prioritize by risk, and own outcomes without micromanagement._
• __AI_ -first working style: hands-on, daily use of _AI_ tools (_Claude_ , _Cursor_ , _Copilot_ , or similar) to accelerate test design, _automation_ , debugging, and documentation — with the judgment to know when to trust the output and when not to._

What this person will own and do day-to-day

Quality Ownership and Test Strategy

Own end-to-end quality for the products and features in your scope. Define test strategies based on product risk, release goals, and business impact — not generic checklists. Influence quality upstream by reviewing requirements and designs to surface ambiguity, edge cases, and testability issues early. Identify non-functional risks (performance, security, accessibility, data integrity) and ensure they're addressed or escalated.

Manual QA and Exploratory Testing

Run structured exploratory sessions guided by risk and user personas. Cover what _automation_ can't yet: complex flows, visual checks, new feature shakedowns, third-party integrations. Document findings clearly: reproducible steps, environment, expected vs. actual, severity, impact. Act as a user advocate during pre-release validation.

Test Case Design and Documentation

Design test cases covering happy paths, edge cases, negative scenarios, role/state transitions, integrations, and relevant non-functional risks. Maintain traceability to requirements, acceptance criteria, and product risks. Build and maintain smoke tests, regression suites, and release checklists as living assets.

_Automation_ QA

Design, implement, and maintain automated suites across UI, API, and integration layers. Decide what to automate based on stability, ROI, and risk — and what not to. Keep flakiness under control; contribute to the framework itself (utilities, fixtures, test data, reporting).

Defect Management and Quality Reporting

Triage, prioritize, and track defects to resolution with clean hygiene (title, severity, repro, environment, and links). Produce concise, release-quality reports: what was tested, what wasn't, known risks, and recommendations. Surface trends and turn them into actionable improvements.

Release Readiness and Quality Gates

Own release validation: smoke, regression, environment checks, sign-off criteria. Define and enforce quality gates for staging, UAT, and production. Coordinate with DevOps on hotfixes, rollback, and post-release monitoring. Make confident go/no-go calls backed by evidence.

Perks

💵 Monthly USD Service Fee

🌴 20 business days of paid Agreed Time Off—Annual + 6 Local Holidays

🐣Caregiver Time Off

💻A dynamic remote work culture. You can work from anywhere!

🚀An entrepreneurial environment.

**About us

** In 2010, our founders dreamed up a company that could positively impact the world. Since then, we've been in permanent evolution: from business consulting to innovation and design, and now to building amazing digital products powered by AI. We scaled globally, launched AI Labs and Reshape Studios, and claimed our space as an AI consulting firm — helping organizations move from pilots to production through accountable AI. Today, we're expanding our impact across industries, driving real AI adoption through accountability, governance, and value at scale. Dreamers first, builders always.