QA Engineer (Jun - Mid)
Hạn nộp hồ sơ: 20/09/2026 (Còn 26 ngày)
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Build like a founder. Ship like Spartan.
Our clients are startups in a race: an MVP in 30 days, and billions of data points the year after. We're looking for a Data Engineer to build the platform that carries it.
We don't act like vendors. We embed. Our teams sit inside startups backed by YC, Pear VC, BlingCap, a16z, and Techstars, working beside founders and engineers from Stanford, MIT, Yale, Google, Amazon, and Uber. Together we ship those MVPs and scale the systems behind them to millions of users and billions of requests.
This isn't a batch-and-dashboards seat three layers from the client. You'll be in the founder's Slack. Your pipelines run in production. You'll own the data platform behind real-time operations, analytics, and AI, from ingestion all the way to serving.
70% of our portfolio is LLM-powered, and every one of those features runs on data someone had to make trustworthy first. That's your work. Cursor, Claude, and Codex are default tools here, not experiments. You'll use AI every day, and you'll be expected to use it well.
What you'll do
Shape Requirements: Partner with founders and engineers to review PRDs and designs. Catch edge cases and missing requirements before code is written.
Hands-on Execution: Perform functional, API, exploratory, and cross-browser/device testing.
Risk-Based Decisions: Decide what to test deeply and what to smoke test based on risk and timeline. Not everything needs full regression.
Process Calibration: Help set up and evolve QA workflows tailored to the product's current stage (from MVP to scale-up).
Smart Automation: Set up and maintain automation for repetitive test flows. Use AI tools (Claude, Cursor) daily to generate test data and speed up testing
Direct Client Work: Work directly with founders and founding engineers. No layers between you and the client
Cross-Project Delivery: Switch between projects as client needs change. Onboard new codebases, new domains, new teams quickly.
What we're looking for
Must-have
2+ years of QA experience in fast-moving environments where requirements shift quickly.
Strong English communication (written and verbal). You'll work directly with US startup founders and international clients daily.
Solid skills in functional, API, SQL, exploratory, and cross-browser testing.
Comfortable operating without a perfect spec. You ask the right questions and figure out what to test.
A product mindset. You care whether users have a good experience, not just whether test cases pass.
Comfortable switching projects. This quarter fintech, next quarter healthcare. That's us
Nice-to-have
Experience testing AI/LLM-powered features (prompt regression, evals).
Automation skills (Playwright, Cypress, or similar).
Experience defining acceptance criteria when specs are incomplete.
Experience working across multiple projects or domains.
What we don't expect
People who only feel comfortable with detailed 50-page requirement docs, fixed release calendars, and corporate approval processes.
Career Growth
Work directly with founders from YC, Stanford, MIT, Yale, Google, Amazon, Uber, and more.
Exposure to streaming, real-time systems, AI infrastructure, and cloud at scale.
Transparent career path and mentorship from engineers who've taken 3 companies to IPO.
Every project feels like its own mini-startup. One year here teaches what three years elsewhere would.
Why Spartan
50+ MVPs launched, 3 IPOs, $100M+ raised by the startups we build with.
95% engineer retention. People stay because the work is worth staying for.
You build zero to one. First event ingested to a live data platform in weeks.
Most engineers get that chance once in a career. Here it's the job.
Your work is visible. The pipeline you build this month is the number in a founder's investor deck next month.
No layers, no bureaucracy.
You talk to the decision-maker directly, and decisions land in hours, not weeks.
Every project is a new market, a new stack, a new problem. One year here teaches what three years elsewhere would.
You'll never just take tickets. You'll own problems, ship fast, and grow with the founders we partner with.
Benefits &
Perks
💰
Competitive salary, 100% salary during probation
🏝
Unlimited PTO + public holidays
🩺
Premium healthcare insurance + annual health check
⚽
Sports clubs for every taste: football, badminton, billiards, pickleball
🎮
PS5 and Nintendo at the office
🏃
Strava yearly subscription
🏠
Hybrid working style, flexible hours
✈️
Annual company trip + monthly team parties
💻
MacBook provided
📜
Social insurance per Labor Law
Work Location
HCM: 2nd Floor XL Building, 167 Tran Nao, An Khanh Ward
Our clients are startups in a race: an MVP in 30 days, and billions of data points the year after. We're looking for a Data Engineer to build the platform that carries it.
We don't act like vendors. We embed. Our teams sit inside startups backed by YC, Pear VC, BlingCap, a16z, and Techstars, working beside founders and engineers from Stanford, MIT, Yale, Google, Amazon, and Uber. Together we ship those MVPs and scale the systems behind them to millions of users and billions of requests.
This isn't a batch-and-dashboards seat three layers from the client. You'll be in the founder's Slack. Your pipelines run in production. You'll own the data platform behind real-time operations, analytics, and AI, from ingestion all the way to serving.
70% of our portfolio is LLM-powered, and every one of those features runs on data someone had to make trustworthy first. That's your work. Cursor, Claude, and Codex are default tools here, not experiments. You'll use AI every day, and you'll be expected to use it well.
What you'll do
Shape Requirements: Partner with founders and engineers to review PRDs and designs. Catch edge cases and missing requirements before code is written.
Hands-on Execution: Perform functional, API, exploratory, and cross-browser/device testing.
Risk-Based Decisions: Decide what to test deeply and what to smoke test based on risk and timeline. Not everything needs full regression.
Process Calibration: Help set up and evolve QA workflows tailored to the product's current stage (from MVP to scale-up).
Smart Automation: Set up and maintain automation for repetitive test flows. Use AI tools (Claude, Cursor) daily to generate test data and speed up testing
Direct Client Work: Work directly with founders and founding engineers. No layers between you and the client
Cross-Project Delivery: Switch between projects as client needs change. Onboard new codebases, new domains, new teams quickly.
What we're looking for
Must-have
2+ years of QA experience in fast-moving environments where requirements shift quickly.
Strong English communication (written and verbal). You'll work directly with US startup founders and international clients daily.
Solid skills in functional, API, SQL, exploratory, and cross-browser testing.
Comfortable operating without a perfect spec. You ask the right questions and figure out what to test.
A product mindset. You care whether users have a good experience, not just whether test cases pass.
Comfortable switching projects. This quarter fintech, next quarter healthcare. That's us
Nice-to-have
Experience testing AI/LLM-powered features (prompt regression, evals).
Automation skills (Playwright, Cypress, or similar).
Experience defining acceptance criteria when specs are incomplete.
Experience working across multiple projects or domains.
What we don't expect
People who only feel comfortable with detailed 50-page requirement docs, fixed release calendars, and corporate approval processes.
Career Growth
Work directly with founders from YC, Stanford, MIT, Yale, Google, Amazon, Uber, and more.
Exposure to streaming, real-time systems, AI infrastructure, and cloud at scale.
Transparent career path and mentorship from engineers who've taken 3 companies to IPO.
Every project feels like its own mini-startup. One year here teaches what three years elsewhere would.
Why Spartan
50+ MVPs launched, 3 IPOs, $100M+ raised by the startups we build with.
95% engineer retention. People stay because the work is worth staying for.
You build zero to one. First event ingested to a live data platform in weeks.
Most engineers get that chance once in a career. Here it's the job.
Your work is visible. The pipeline you build this month is the number in a founder's investor deck next month.
No layers, no bureaucracy.
You talk to the decision-maker directly, and decisions land in hours, not weeks.
Every project is a new market, a new stack, a new problem. One year here teaches what three years elsewhere would.
You'll never just take tickets. You'll own problems, ship fast, and grow with the founders we partner with.
Benefits &
Perks
💰
Competitive salary, 100% salary during probation
🏝
Unlimited PTO + public holidays
🩺
Premium healthcare insurance + annual health check
⚽
Sports clubs for every taste: football, badminton, billiards, pickleball
🎮
PS5 and Nintendo at the office
🏃
Strava yearly subscription
🏠
Hybrid working style, flexible hours
✈️
Annual company trip + monthly team parties
💻
MacBook provided
📜
Social insurance per Labor Law
Work Location
HCM: 2nd Floor XL Building, 167 Tran Nao, An Khanh Ward
Thông tin chung
- Thu nhập: Thỏa thuận
Việc làm tương tự khác
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Thương lượng
Công ty Tài chính TNHH Ngân hàng Việt Nam Thịnh Vượng SMBC FE CREDIT
Hồ Chí Minh
Thương lượng
Ngân Hàng TMCP Quốc Tế Việt Nam - VIB
Hà Nội, Hồ Chí Minh
Thỏa thuận
CÔNG TY TNHH HỆ THỐNG EPAM (VIỆT NAM)
Hà Nội, Hồ Chí Minh
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