OpenVPN Inc.

Full-stack Engineer

• Design and Implement CipherScale AI-Driven SDCL Architect and implement CipherScale’s AI-driven software development lifecycle.
• Ensure the SDLC process remains structured, traceable, and reliable as automation increases.
• Establish scalable patterns for AI-native development across the organization.
• Design and implement automated engineering & QA workflows that connect product strategy, engineering execution, testing, and deployment.
• Build systems that allow engineering processes to be triggered by structured inputs and outputs while ensuring workflows remain deterministic, reliable, and observable.
• Implement mechanisms that prevent failure loops, race conditions, and cascading errors in automated systems.
• Design and build agents that assist with engineering execution, validation, and quality control.
• Integrate AI capabilities into development workflows while maintaining strict governance and traceability.
• Develop reusable patterns for safely incorporating AI into engineering pipelines.
• Continuously evaluate and improve the performance and reliability of workflows and agents.
• Establish standards and safeguards that ensure workflows remain secure, auditable, and maintainable.
• Implement automated validation mechanisms for engineering artifacts, code quality, and system consistency.
• Ensure that teams can maintain control and oversight over automated processes and AI Agents.
• Measure and optimize engineering cycle times, defect rates, and automation effectiveness.
• Continuously refine systems based on feedback from engineering teams and production outcomes.
• Ensure the platform evolves safely as automation and AI capabilities expand.
• Work closely with engineering, product, QA, and IT operations teams to evolve development workflows.

AI-Driven SDLC Engineering Lead

QA Engineer

• Design and maintain a scalable automation framework using Python and Playwright, integrating AI tools to accelerate script generation and maintenance.
• Develop automated tests for complex Access Server scenarios, including VPN tunneling, DNS leak protection, and protocol handshakes.
• Leverage Python to automate the provisioning of Linux environments and Virtual Machines for consistent test execution on the most popular cloud providers (AWS, GCP).
• Use AI/ML techniques to analyze test results and system logs, identifying patterns that predict potential regressions before they reach production.

AI-Driven SDLC Engineering Lead

AI-Native QA Engineer, Linux, Networking