Quanata

SDET

• Design, build, test, and maintain shared automation frameworks, internal services, and developer tools for multiple QA and engineering teams
• Identify common testing needs and validate functionality, integration, reliability, performance, and usability across application and platform layers
• Build and evaluate AI-assisted and agent-based testing capabilities using repeatable evaluations, human oversight, appropriate tool permissions, and fallback behavior
• Develop and automate security testing for APIs, applications, and shared platforms
• Validate authentication, authorization, access boundaries, and sensitive-data handling; partner with Security teams to verify fixes
• Test AI-enabled tooling for incorrect outputs, prompt injection, information exposure, unintended actions, and dependency failures
• Integrate reusable quality and security checks into CI/CD workflows with actionable diagnostics, maintainable test data, documentation, and environment compatibility
• Investigate failures and production issues in shared tools and platforms
• Drive adoption through documentation, demonstrations, mentoring, shared testing practices, and measurement of coverage, manual effort, and feedback time

Senior SDET – Platform

Security Engineer

• Secure AI-enabled products, internal applications, APIs, services, and platforms throughout their lifecycle
• Lead threat modeling, security architecture reviews, and risk assessments for LLM applications, RAG pipelines, agentic workflows, MCP servers, model providers, third-party AI tools, plugins, automations, and AI-assisted development
• Define and implement secure AI engineering patterns, guardrails, standards, and reference architectures
• Strengthen AWS-native infrastructure and CI/CD environments, including infrastructure-as-code, containerized workloads, secrets management, workload identity, deployment pipelines, and software supply chain controls
• Partner with security operations, detection engineering, incident response, and vulnerability management teams to improve AI-related detection, observability, telemetry, and response capabilities
• Evaluate AI applications, SaaS platforms, model providers, MCPs, agents, developer tools, and third-party technologies for security, privacy, access, data exposure, logging, contractual, and operational risks
• Develop security guidance, training, and enablement materials for engineering and business teams
• Lead cross-functional security-by-design initiatives, translate security objectives into technical requirements, influence architectural decisions, and own broader security projects and critical incident response efforts

Staff Security Engineer

• Design and implement scalable automated testing frameworks for complex data pipelines, processing workflows, and machine learning models
• Develop testing strategies covering data quality, schema integrity, data drift, model accuracy, bias, and regression
• Validate large-scale distributed data systems for accuracy, reliability, performance, and resilience
• Partner with engineering, data science, and operations teams to embed quality throughout the software development and delivery lifecycle
• Conduct exploratory testing to identify edge cases and risks in new features, data outputs, and machine learning workflows
• Build continuous validation into automated development and deployment processes
• Investigate production data and model failures, identify root causes, and help drive resolutions
• Mentor junior SDETs and contribute to testing strategies, standards, and quality engineering best practices

Senior SDET – Platform

Staff Security Engineer

Senior SDET – Data