Senior Full-Stack QA Engineer

Medvidi•Tbilisi, GA

2d•Remote

About The Position

At MEDvidi, we are transforming mental healthcare by making it more accessible and affordable across the United States. Our mission is to remove barriers to mental health support and ensure that everyone can access the care they need. We are building an AI Ops&Growth Team - a fast-moving, startup-style team focused on automating operational processes and maximizing revenue impact. This small team works at high speed, ships in days, and values experimentation. We are looking for a Senior Full-stack QA Engineer who thrives in this environment: someone who is flexible, fast, and genuinely excited about building things with the help of AI. You will be a quality partner in a cross-functional Growth Team working on automating MedOps workflows (slot management, supply/demand balancing, traffic redistribution) and, once those are in place, moving on to top-of-funnel growth experiments.This is not a typical QA role where you only check releases before they go live.

Requirements

5+ years of commercial experience as a Full-Stack QA Engineer in primarily product companies (not agency or outsourcing)
Strong JavaScript knowledge and understanding of modern full-stack systems end-to-end
Experience with JS-based/TS-based test automation frameworks
Hands-on experience combining manual and automated testing in fast-release environments
Proven experience building and evolving QA approaches and quality frameworks
Deep understanding of client–server architecture, data flows, system boundaries, and failure modes
Strong knowledge of testing principles, techniques, and test design methodologies
Solid experience with E2E and API testing
Advanced SQL skills and experience with PostgreSQL (data validation, complex queries, integrity checks)
Experience working with quality metrics, test coverage models, and practical QA KPIs
Product-oriented mindset: ability to balance quality, speed, and business goals
Fluent Russian; English level B2 or higher
Ability to work CET-overlapping hours, with location outside Belarus and Russia

Nice To Haves

Experience testing AI/LLM systems, including hallucinations, response quality, prompt stability, and evaluation approaches (evals, guardrails).
Experience building QA processes from scratch or scaling them in growing startups
Understanding of CI/CD quality gates, observability, and production quality monitoring

Responsibilities

Own product quality end-to-end across frontend, backend, APIs, databases, and LLM-based features
Balance manual, automated, and exploratory testing approaches
Lead E2E and API testing to ensure reliability of complex workflows
Validate data correctness and system behavior using SQL (PostgreSQL)
Participate in product discovery and delivery: influence requirements, acceptance criteria, and release decisions
Identify quality risks early, drive preventive actions, and improve system testability
Collaborate with engineering and AI teams to ensure reliable and predictable system behavior
Contribute to test infrastructure, documentation, and team knowledge sharing