Senior Quality Assurance Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Quality Assurance Engineer (AI): Building and maintaining automated testing frameworks for an AI observability platform with an accent on data-intensive systems and complex backend workflows. Focus on ensuring calculation accuracy, validating data pipelines, and establishing quality standards in a fast-growing startup environment.
Location: Must be based in South America
Company
A fast-growing startup building an AI observability and analytics platform that transforms complex telemetry and operational data into actionable business insights.
What you will do
- Design and maintain automated test coverage for backend services, APIs, and data-processing workflows.
- Validate the accuracy of platform calculations, metrics, and reporting outputs.
- Create testing strategies for complex data pipelines and AI-related workflows.
- Define and maintain release quality gates to ensure reliable product deployments.
- Collaborate with engineering and product teams to proactively identify quality risks.
- Develop test datasets and validation mechanisms to detect data inconsistencies.
Requirements
- 5+ years of experience in Quality Assurance or Test Automation.
- Must be based in South America.
- English proficiency: Upper-intermediate (B2) or higher.
- Strong experience designing automated testing frameworks and API validation.
- Experience testing data-intensive systems or distributed applications.
- Ability to analyze complex workflows and identify quality risks.
Nice to have
- Experience with AI, LLM, or agent-based systems.
- Knowledge of observability frameworks like OpenTelemetry.
- Python proficiency for test automation.
- Experience with CI/CD pipelines and release automation.
- Background in early-stage startup environments.
Culture & Benefits
- 100% remote work environment.
- High degree of autonomy and ownership in a product-focused team.
- Direct collaboration with experienced engineering and product leadership.
- Exposure to cutting-edge AI technologies and modern architectures.
- Flexible working culture in a fast-moving, innovative environment.
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