Senior or Principal Quality Software Engineer

Dropzone AI

35d•Remote

About The Position

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

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

Nice To Haves

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

Responsibilities

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