Who You Are
You catch problems before they explode—testing edge cases and degraded paths others overlook so production fire drills can be prevented. You care deeply about the tools you use and create, shaping the internal frameworks and pipelines your team depends on. Your work validates millions of real-time customer interactions every day, from web to telephony platforms, and you’re always growing through peer reviews, knowledge sharing, and mentoring. You thrive in flexible, human-centered environments where hybrid collaboration and sustainable engineering aren’t just buzzwords, but the way you work. If you love building robust, high-throughput test platforms as much as we do, we’d love to hear from you!
At Vail, our QA Engineering team is deeply technical — we don’t just validate features, we build the frameworks and infrastructure that test real-world signaling flows, analyze media quality, and run performance tests that mimic millions of live voice and web sessions. We're engineers at heart, with a QA-first mindset and a passion for building robust, scalable systems that reveal issues before our customers do.
What You’ll Do
Design and Extend Automation Frameworks: Build maintainable, modular test infrastructure in Python, Perl, Java, or Ruby that adapts to evolving APIs and systems.Develop Advanced Test Suites: Own automation for complex functional, integration, and regression scenarios across distributed microservices and telephony systems.Validate Real-Time Systems: Contribute to test harnesses that validate signaling flows (SIP, RTP, SDP, WebRTC) and API transactions under varying network conditions.Enhance CI/CD Integration: Implement, optimize, and maintain automated test pipelines in Jenkins or similar systems, including containerized and Kubernetes-based environments.Collaborate Across Disciplines: Partner with developers, QA peers, and DevOps engineers to ensure tests are integrated early in the release cycle and deliver meaningful insights.Analyze Failures & Root Causes: Use log aggregation tools, packet captures, and dashboards (e.g., Kibana, Grafana) to diagnose failures and improve coverage or resiliency.Contribute to Test Data & Metrics: Work with SQL and NoSQL databases to generate and validate test data, interpret automation results, and measure performance.Mentor & Share Knowledge: Help guide junior engineers in automation practices, framework design, and debugging strategies.Drive Continuous Improvement: Identify gaps in test coverage, reliability, and efficiency—propose and implement technical solutions that raise QA maturity.
Qualifications - We encourage you to apply if you think your experience may be a match, even if you do not meet all of the qualifications.
Bachelor's degree in Computer Science/Engineering or a related field, or equivalent experienceExperience: Typically, 2–5 years in software development, test automation, or QA infrastructure engineering.Programming Skills: Strong proficiency in one or more of Ruby, Java, C#/.NET, C++, Perl, Python, or JavaScriptFrameworks & Tools: Experience with JUnit, TestNG, PyTest, RSpec, Cucumber, or equivalent automation frameworks.CI/CD & Containers: Working experience with Jenkins (or similar), Docker, and basic Kubernetes workflow (jobs, pods, Helm charts).Systems Knowledge: Familiarity with distributed architectures, API testing, and network-level debugging.Telecom/Media (Preferred): Exposure to SIP/SDP/RTP, WebRTC, or similar signaling and media systems.Databases: Solid understanding of SQL and NoSQL databases for data-driven testing.Analytical Skills: Strong problem-solving mindset, able to triage and isolate issues across multiple layers of the stack.Collaboration: Experience in Agile environments; comfortable contributing to cross-functional sprint work, code reviews, and retrospectives.
