15 hours ago
Singapore, SingaporeMid Level / Senior
Responsibilities
- Work with Product Owners and Functional Leads to understand product intent, user journeys, and ATM operational context.
- Map product interfaces, data flows, dependencies, and integration risks across AIR Lab applications.
- Design, implement, and maintain automated integration, sanity, smoke, and regression test suites.
- Use AI tools such as Claude to derive test cases, generate test code and data, and analyze failures and logs, while verifying all outputs.
- Apply risk-based judgement to determine blocking gates, scheduled checks, non-blocking tests, and lighter verification based on product maturity and change impact.
- Integrate test suites into GitLab CI/CD pipelines and ephemeral namespace environments while controlling execution time and flakiness.
- Triage failures, distinguish product defects from test or environment issues, create reproducible defect reports, and follow issues through resolution.
- Retire obsolete tests, fix or quarantine flaky tests, and refactor suites as products evolve.
- Create reusable prompts, patterns, and guidelines for AI-assisted testing.
- Report coverage, test results, blockers, and quality risks to the Validation Lead and Product Owners.
- Own and drive the Software QA lifecycle and raise product defects.
Requirements
- Bachelor’s degree in Computer Science, Information Technology, or a related engineering field is required; a master’s degree is a plus.
- 4–6 years of experience in software QA or test automation, including hands-on delivery of integration, sanity, and regression suites.
- Knowledge of software QA principles including the test pyramid, risk-based testing, and test design techniques.
- Hands-on API and service-level test automation using tools such as Karate, Pytest, REST Assured, or Postman/Newman.
- Working proficiency in at least one programming language such as Python or Java.
- Experience integrating automated tests into CI/CD pipelines, preferably GitLab CI, and working with Docker and Kubernetes.
- Ability to understand distributed systems including APIs, messaging, and data pipelines.
- Good English communication skills and confidence working with product and functional stakeholders.
- Exposure to ATM/ATC or the wider aviation domain is desirable.
- Experience with prompt engineering or agentic AI workflows, including reusable prompts for engineering teams, is desirable.
- Familiarity with UI or performance test automation using tools such as Playwright, Cypress, or k6 is desirable.
- Experience in R&D, proof-of-concept, or MVP environments is desirable.
- Practical experience using AI assistants such as Claude to generate, refactor, and analyze tests is desirable.
- Pragmatic, curious, flexible, proactive, collaborative, and able to communicate risks clearly.
Benefits
- Opportunities for personal development and competency growth.
- Ability to explore other Thales domains, products, customers, countries, and more complex solutions.
- Choice between a technical-expertise path and a leadership path.
- Opportunities to build an international career within Thales.
- Role located in Singapore, Singapore.
Tech Stack
Categories
About Thales
Thales designs and sells defense, aerospace, space, and digital identity/cybersecurity systems to governments, armed forces, infrastructure operators, and enterprises. Its portfolio spans avionics, radars and sensors, satellites, air traffic management, secure communications, and cybersecurity and identity solutions (bolstered by the 2019 Gemalto acquisition). Headquartered in Meudon, France, Thales is publicly traded on Euronext Paris (HO) and reported €20.6 billion in sales in 2024.