Senior QA Engineer – Cyber & AI
Description Every nation has data. Few can protect it. Fewer still can act on it. Dream is the sovereign AI and national cyber-defense company for governments. We help nations secure their most critical systems, connect fragmented information at a national scale, and turn their most sensitive data into decisions, all fully sovereign. This is more than a job. It's a Dream job, where you'll work at a global scale alongside some of the best AI researchers, cyber operators, and government experts in the world. We defend nations against the most advanced threats in the world with a national security suite that offers AI-native resilience against APTs with visibility, insights and mediation across Posture, CTI, and Detection & Response, all fully sovereign. The Dream Job We are looking for a detail-oriented and technically skilled Senior QA Engineer to join our engineering team and help ensure the quality, reliability, and security of our product. In this role, you will own the quality of complex cybersecurity features from design through production, working closely with developers, product managers, and automation engineers. You will play a key role in defining test strategies, identifying risks early, and ensuring high-quality releases. As part of your daily workflow, you will leverage AI-powered tools to improve test planning, discover edge cases, investigate defects, analyze logs, and enhance overall testing efficiency. The Dream-Maker Responsibilities Own the automation domain end-to-end: strategy, architecture, implementation, and continuous improvement Design, build, and maintain scalable test automation frameworks across UI, API, integration, and system layers Develop hands-on automation code in Python and/or TypeScript Drive quality standards across engineering teams, partnering closely with developers, QA, DevOps, and product stakeholders Define and implement automation best practices for reliability, scalability, maintainability, and fast feedback Integrate and optimize automation within CI/CD pipelines to enable rapid, confident releases Test complex SaaS, cloud, and cyber-related product flows, including security-sensitive scenarios, permissions, integrations, and system behavior Use AI tools to support automation development, test generation, debugging, log analysis, documentation, and coverage improvement Proactively identify coverage gaps and improve system testability, observability, and debuggability Participate in system design and feature planning to embed quality from the earliest stages Build and evolve testing environments using scripting, infrastructure-as-code, and cloud-native tools Mentor and guide engineers, elevating automation standards across the organization The Dream Skill Set 5+ years of hands-on experience in test automation, including ownership of frameworks or large-scale automation systems Strong programming skills in Python and/or TypeScript, with solid software engineering fundamentals Proven experience designing, building, and scaling automation frameworks such as Pytest, Playwright, or Selenium Deep understanding of CI/CD workflows and test integration, using tools such as Jenkins or GitHub Actions Experience testing distributed, cloud-based SaaS systems on AWS, GCP, or Azure Strong debugging, problem-solving, and system-level thinking Hands-on experience with Linux environments and shell scripting Experience working with logs, monitoring, and technical investigation of system failures Comfortable using AI tools as part of the daily development and automation workflow Understanding of cybersecurity concepts, security-sensitive flows, or cloud security environments Excellent communication skills, with the ability to influence technical decisions and drive quality initiatives across teams Nice to Have Experience working on cybersecurity products, security platforms, or detection/response systems Experience with AI-driven development tools, agentic workflows, or Model Context Protocol (MCP) Experience with containerization and infrastructure-as-code tools such as Docker, Terraform, or Ansible Familiarity with Kubernetes and distributed system architectures Experience working with databases such as SQL, MongoDB, Redis, or Neo4j Experience with message queues such as RabbitMQ Experience in performance, load, reliability, or resilience testing Experience improving observability, logging, and alerting for test and production-like environments Tech Stack Python, Pytest, TypeScript, Playwright, Docker, GitHub, Jenkins, AWS, Terraform, Linux, MongoDB, Redis, RabbitMQ, Kubernetes Never Stop Dreaming... If you think this role does
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