Job Openings
XTN-4982179 | QUALITY ASSURANCE MANAGER
About the job XTN-4982179 | QUALITY ASSURANCE MANAGER
As a Quality Assurance Manager, you will lead and execute QA strategies to ensure the delivery of high-quality and reliable software products. You’ll oversee test planning, automation, and execution across projects while collaborating closely with engineering teams to strengthen testing processes and improve product quality.
• Health Insurance/HMO
• Enjoy unlimited MadMax Coffee
• Diverse learning & growth opportunities
• Accessible Cloud HR platform (Sprout)
• Above standard leaves
- Lead and do QA for the whole platform daily, mentor engineers, and are responsible for manual and automated testing and standards.
- Manually QA the platform on a daily basis and defining what can be moved from manual to automation.
- Define Vultron’s QA roadmap—balancing automation, scalability, and test coverage across multiple product surfaces, helping track initatives.
- Partner with Engineering and DevOps to integrate QA into CI/CD pipelines and ensure continuous delivery at speed.
- Design, implement, and maintain test automation frameworks for web, API, and data workflows.
- Establish clear quality metrics and feedback loops to drive measurable improvement.
- Collaborate cross-functionally to ensure every feature is tested for functionality, performance, and security.
- Champion quality from day one in every development cycle—baking it into design, architecture, and deployment.
- 8+ years of experience in software quality assurance, with at least 2-3 years in a leadership or management role.
- Proven success leading QA strategy for complex or data-intensive B2B software products.
- Deep understanding of QA methodologies, automation frameworks, and test lifecycle management.
- Hands-on experience with tools such as Selenium, Cypress, Playwright, Postman, and JMeter.
- Strong familiarity with CI/CD pipelines (GitHub Actions, Jenkins, or similar).
- Technical fluency—you can discuss architecture, APIs, and integration testing with engineers.
- Strong analytical, problem-solving, and documentation skills.
- Excellent communication skills in English, with the ability to collaborate seamlessly across time zones.
- Experience testing AI/ML or data-driven platforms.
- Familiarity with cloud infrastructure (AWS, GCP) and observability tools.
- Knowledge of security and compliance testing in enterprise environments.
- Prior experience in public-sector technology or mission-critical platforms.