Senior Quality Software Engineer

Job not on LinkedIn

November 19

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Dropzone AI

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Cybersecurity • Artificial Intelligence • SaaS

Dropzone AI is an AI-driven cybersecurity company that provides autonomous, LLM-powered SOC (Security Operations Center) analysts to investigate, triage, and resolve security alerts automatically. Their SaaS product integrates with SIEMs, EDRs, cloud and identity systems and other security tools to deliver 24/7 alert coverage, reduce mean-time-to-response (MTTR), and scale SOC operations for enterprises and MSSPs. Dropzone AI positions itself as an AI-augmented SOC solution that deploys quickly via APIs, emphasizes human-in-the-loop controls, and focuses on improving SOC efficiency, accuracy, and analyst productivity.

11 - 50 employees

Founded 2023

🔒 Cybersecurity

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

• 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 • Engaging early with engineering to surface risks before implementation, strengthening team wide quality skills, and promoting testability as a core design requirement • Broadening our verification approach beyond unit tests into integration, system, stress, and full workflow testing across the entire stack • Maintaining dependable test environments with strong instrumentation for rapid diagnosis, enhancing observability and logging to shorten the path from failure to root cause • 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.

🏖️ Benefits

• company paid health insurance • 401K Plan with employer match • Self-Managed PTO • parental leave • more