Vail Systems

Data Scientist

• Work with us on some of the challenges in natural language processing (NLP).
• Conduct research in NLP and understand, codify and extract meaning from communication modalities (speech, text).
• Build new or improve existing models using state-of-the-art machine learning techniques.
• Gain insight from trying new machine learning approaches with a team of researchers and transition the research to a proof-of-concept.

Data Science Intern, NLP

Security Engineer

• Perform comprehensive reviews of security events aggregated from multiple log sources, including endpoint protection tools, email gateway, web gateway, cloud-based products, and SIEM.
• Conduct in-depth investigations of security alerts and issues affecting Windows, Mac, and Linux end-user devices and Windows and Linux servers. This may involve direct access to systems for forensic analysis, troubleshooting, and validation of potential threats.
• Work closely with other departments to assess security incidents and vulnerabilities, providing actionable recommendations to improve the security posture and reduce risk.
• Maintain and administer security tools to ensure optimal performance, accuracy, coverage, and compliance across Vail’s environments.
• Develop and maintain comprehensive security documentation, including standard operating procedures, incident response playbooks, and incident response guides.
• Lead and participate in the coordination of security incident response activities, including participation in an on-call rotation for security incidents.
• Prepare weekly and monthly reports on security metrics, highlighting key findings, emerging threats, and actionable insights.
• Collaborate with team members and senior staff to design and develop, and enhance security tools and automation capabilities.
• Support internal and external audits and ensure adherence to regulatory and industry frameworks, including PCI DSS, HIPAA, SOC 2, NIST, and ISO 27001.

Information Security Engineer

Full-stack Engineer

• Develop & Maintain Automation: Write clean, modular, and data-driven test code that adapts to evolving APIs and features, helping reduce flakiness and brittleness in automation.
• Contribute to Test Frameworks: Assist in building and enhancing frameworks that validate complex systems, including telecom protocols, APIs, and media flows.
• Hands-On Testing: Participate in functional, regression, and integration testing across distributed environments—learning how to analyze failures and reproduce tricky edge cases.
• Collaborate Across Teams: Work closely with developers, QA engineers, and DevOps teams to ensure that quality is embedded in every stage of the development lifecycle.
• Learn CI/CD Practices: Support Jenkins pipelines, containerized test environments, and automated regression runs, building familiarity with Kubernetes and Docker.
• Explore Data Analysis: Query SQL and NoSQL databases to set up test data, validate results, and troubleshoot automation issues.
• Support Agile Delivery: Take part in sprint planning, standups, retrospectives, and backlog grooming with a QA-first mindset.

Data Science Intern, NLP

Information Security Engineer

Software Engineer, Test & Infrastructure I