Dropzone AI
Senior Quality Software Engineer
Remote Quality Engineering role with clear candidate location fit.
PostedJun 18, 2026
Eligible countries1 accepted country
Seniority signalSenior
Work settingRemote
Accepted candidate locations
USA
Role overview
Senior Quality Software Engineer
Requirements and responsibilities
Readable role content extracted into sections for faster review.
Details
- 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
- 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
- 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
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