• Develop, maintain, and improve manual and automated test cases for NIRIS baselines. • Execute functional, regression, integration, system, and release testing. • Build, maintain, and refactor automated test scripts using frameworks such as Robot Framework, Playwright, Selenium, or Cypress. • Support test automation frameworks within the NATO Software Factory (Azure DevOps / GitLab CI/CD). • Perform interface and interoperability testing for tactical data links and external systems (Link 16, JREAP, OTH-Gold, DIS, VMF, AIS, CESMO, etc.). • Prepare test data and support test-event preparation (e.g., CWIX, customer visits). • Log, track, retest, and verify defects using Jira / Zephyr or equivalent. • Produce and maintain test documentation: test plans, test cases, execution reports, regression reports, release readiness inputs. • Participate in Agile ceremonies (sprint planning, daily stand-ups, sprint reviews, retrospectives). • Provide test evidence, KPIs, and release recommendations to support acceptance and governance decisions. • Proactively identify risks, blockers, dependencies, and process improvements.

• Testing app functionality (e.g., receiving or sending money, checking transaction history etc.) using your device. • Use your own mobile device (Android/iPhone) for testing.

• As a Linguistic QA Tester, you will primarily be proofreading and editing content already localized to your native language, making sure you catch any errors in the content, such as: grammar, typos, syntax, punctuation, capitalization, political incorrectness, inconsistencies, and extra spaces between words or characters. • You will sometimes be translating content from English to your native language. • You will also be checking UIs for functional issues. • Write and report relevant bugs and errors using best practices through internal database system. • Ability to under and prioritize task and issues quickly and efficiently. • Native language skills and cultural awareness of native country. • Good oral and written communication. • Highly organized with attention to detail and a commitment to quality. • QA various products in by accurately following testing instructions and test cases • Discover and report defects (bugs) using client specific bug tracking tools • Evaluate translations in the context of software, mobile apps and documentation • Be a subject matter expert for linguistic issues in the target language; be able to research and resolve linguistic questions • Adhere to project-specific quality standards, trademarks, style guides and client-preferred checklists and glossaries • Troubleshoot basic problems; be able to communicate effectively and escalate testing issues • Complete assigned tasks in a quality and timely manner

• Test complex fintech and crypto workflows, including transactions, card operations, swaps, KYC flows, asset transfers, and fiat on/off-ramps. • Own quality hands-on: test new features yourself across mobile (iOS/Android), backend services, and back-office tools. • Participate in feature design and delivery, identifying risks and quality considerations early in the development lifecycle. • Investigate production issues, reproduce defects, and ensure root causes are addressed. • Collaborate with developers on automated testing strategy and coverage. • Design comprehensive test scenarios and acceptance criteria. • Review automated test implementations to ensure meaningful coverage of business-critical functionality. • Set the QA bar across the team by building out templates, checklists, and bug-reporting standards, while tracking key metrics (defect rate, escape rate, CFR/LT) and translating them into actionable reports. • Keep production rock solid — overseeing monitoring across Sentry, Firebase, and Grafana, leading incident response and post-mortems, and digging into root causes to strengthen the system over time. • Contribute to a quality-first engineering culture where testing is embedded into the development process. • Support incident investigations, post-mortems, and continuous reliability improvements. • Monitor product health using observability and analytics tools. • Influence product and engineering decisions through data, technical analysis, and risk assessment. • Help teams balance delivery speed with product reliability and customer trust.