AI-Native Software Tester, based in Da Nang at KMS Technology

Đà Nẵng, , Vietnam -

Full Time

Start Date

Immediate

Expiry Date

15 Jun, 26

Salary

0.0

Posted On

17 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Manual Testing, Testing Discipline, Exploratory Testing, Scenario-Based Testing, AI Tools, Test Case Generation, Defect Identification, Quality Assurance, Product Reliability, Testability Improvement, Testing Processes, QA Best Practices, Automation Knowledge

Industry

Software Development

Description

Company Description KMS Technology is a strategic engineering company helping businesses turn bold ideas into high-impact solutions-faster. Founded in 2009 as a U.S.-based services company, we’ve grown into a global organization with locations in the US, Vietnam, Mexico and Poland. KMS is trusted globally for the quality of our engineering and consulting services. We bring deep expertise in product development and quality assurance, Data & AI-native engineering, and delivery excellence to every engagement. Our mission is to help customers build what’s next-accelerating innovation, crafting brilliant solutions, and creating real-world impact. At KMS, we believe sustainable growth is built on the success of our clients and employees, and in making a lasting contribution to our communities. More about KMS Technology: Website: https://kms-technology.com Linkedin: https://www.linkedin.com/company/kms-technology Job Description We are looking for AI-Native Testers who combine strong testing discipline with the ability to leverage AI tools to dramatically accelerate testing work. This role prioritizes deep testing thinking and exploratory testing, enhanced by AI - rather than traditional automation-heavy QA. You will work in the Innovation Center, experimenting with modern AI tools and helping shape next-generation testing practices with responsibilities below: Design test scenarios and edge cases for new systems and features Perform exploratory and scenario-based testing Use AI tools to generate test cases and accelerate testing work Identify high-risk defects and quality gaps Collaborate with engineers to improve product reliability and testability Qualifications Strong experience in manual testing Good understanding of testing processes and QA best practices Experience working in disciplined QA environments Comfortable using AI tools to support daily work Automation knowledge is a plus but not required. Nice to have: Have strong testing intuition Can quickly identify edge cases and product risks Use AI tools to improve productivity Are curious about new testing approaches Additional Information Perks You'll Enjoy Work with latest AI tools and technologies Experiment with AI-driven engineering workflows Build innovative solutions across industries Help shape AI-native software delivery practices Working in one of the Best Places to Work in Vietnam Building large-scale & global software products Working & growing with Passionate & Talented Team Diverse careers opportunities with Software Services, Software Product Development, IT Solutions & Consulting Attractive Salary and Benefits Performance appraisals every year and performance bonus Onsite opportunities: short-term and long-term assignments in North American (U.S, Canada), Europe, Asia. Flexible working time Various training on hot-trend technologies, best practices and soft skills Premium healthcare insurance for you and your loved ones Company trip, big annual year-end party every year, team building, etc. Fitness & sport activities: football, tennis, table-tennis, badminton, yoga, swimming… Joining community development activities: 1% Pledge, charity every quarter, blood donation, public seminars, career orientation talks,… Free in-house entertainment facilities (foosball, ping pong, gym…), coffee, and snack (instant noodles, cookies, candies…) And much more, join us and let yourself explore other fantastic things!

Responsibilities

Responsibilities include designing test scenarios and edge cases for new systems, performing exploratory and scenario-based testing, and using AI tools to generate test cases and accelerate testing work. The role also involves identifying high-risk defects and collaborating with engineers to enhance product reliability and testability.