Senior Quality Software Engineer

Back to jobsSenior Quality Software EngineerRemote - USApplyAbout Dropzone AI Dropzone’s mission is to scale cybersecurity beyond human limits, and augment every single human security engineer/analyst with an army of AI security specialists. Humans alone cannot sufficiently protect our digital future, and AI augmentation is the only way for defenders to reclaim the high ground. We are an award winning company disrupting the $200B+ cybersecurity market. Powered by Gen AI advancements, our technology offloads repetitive day-to-day work and frees human analysts to focus on real threats and higher-value projects. We are venture-backed, and our team has a rare blend of deep experience across cybersecurity, AI/ML, and SaaS product development. Join us if you want to be on the ground floor of using Gen AI to transform cyber defense. Learn more at www.dropzone.ai.About the role As the first engineer dedicated to quality, you will establish the foundation for how we validate AI driven systems. Quality is already integrated across engineering, and this role advances it by introducing new methodologies and defining the long term quality roadmap. While overall product quality is a shared responsibility, you will elevate the entire engineering organization so that strong quality practices scale with the product. This role provides the opportunity to work on cutting-edge software solutions while driving quality improvements    What you'll do Quality Engineering Strategy: Designing and maintaining testing systems for deterministic logic and AI influenced, non deterministic behavior, integrating these validations directly into CI, release pipelines, and review workflows Collaboration and Shift Left: Engaging early with engineering to surface risks before implementation, strengthening team wide quality skills, and promoting testability as a core design requirement Test Methodology Expansion: Broadening our verification approach beyond unit tests into integration, system, stress, and full workflow testing across the entire stack Environment Readiness: Maintaining dependable test environments with strong instrumentation for rapid diagnosis, enhancing observability and logging to shorten the path from failure to root cause Data and Tooling: Building tools, fixtures, and supporting libraries that generate stable and repeatable test conditions, enabling reliable validation of complex scenarios without ad hoc data creation Requirements 5+ years experience in software quality engineering, test engineering, or a closely related discipline Strong investigative instincts and a deep interest in understanding failures, identifying root causes, and preventing recurrence Skill in isolating external dependencies during integration tests by mocking third party services using custom code or established tools Hands on experience evaluating systems powered by LLMs, AI processing pipelines, or other probabilistic technologies Proficiency with Python and modern test frameworks within container based environments Demonstrated success designing automated test suites across multiple layers of a contemporary application stack Experience working within fully containerized development and execution workflows Being data-driven is part of your DNA Early-stage startup mindset. You thrive on ambiguity and move with lightspeed execution Preferred Experience with cloud based monitoring and metrics platforms such as Prometheus, Grafana, or CloudWatch Background with container orchestration and deployment systems including Kubernetes, GitLab pipelines, or ArgoCD Familiarity with modern frontend technologies, particularly React and TypeScript Interest or experience in security focused testing and broader cybersecurity practices Ability to thrive in a rapidly evolving startup environment Comfort using AI assisted coding and development tools   Work Environment/Travel We are a 100% remote company where you will work from your home with company-provided equipment to set you...