Company Description
AzoonTech consulting LLC is hiring for a stealth AI startup.
At this AI startup, we are building agent-driven data platforms that rethink how teams interact with infrastructure, analysis, observability, data processing.
Our goal is simple: make data systems smarter, more autonomous, and radically easier to work with.
About the Role
We are looking for a QA Engineer(product - focused) to ensure the reliability, accuracy, and performance of our data and AI-driven platform.
You will design and execute test plans, build automation frameworks, and validate large-scale data workflows, APIs, and user experiences.
This role is ideal for someone with strong analytical skills, a data-driven mindset, and a passion for building automated, high-quality validation pipelines for complex systems.
Key Responsibilities
Test Strategy & Planning
- Develop and maintain comprehensive test plans for backend, frontend, and integration layers.
- Define test coverage across functional, regression, performance, and data validation areas.
- Collaborate with product managers and engineers to define acceptance criteria and quality goals.
Automation & Framework Development
- Design and implement test automation for APIs, UIs, and data pipelines using modern tools.
- Integrate test automation into CI/CD workflows to support continuous delivery.
- Build reusable libraries for common validation routines such as schema checks, API response validation, and data consistency testing.
Functional & Integration Testing
- Validate data flow, transformations, and system integrations across multiple services.
- Test API endpoints, message queues, and user interfaces for reliability and correctness.
- Conduct end-to-end scenario testing across multiple environments and configurations.
Performance & Reliability Testing
- Execute load and stress testing to identify bottlenecks and scalability issues.
- Monitor and analyze performance metrics to ensure system stability under different workloads.
- Collaborate with DevOps and SRE teams to improve system resilience and observability.
Data Validation & Quality Assurance
- Verify data accuracy, completeness, and consistency across datasets and storage systems.
- Test data ingestion, transformation, and lineage tracking for correctness.
- Develop automated validation for metadata, schema evolution, and compliance requirements.
Collaboration
- Work closely with developers, data engineers, and operations teams to reproduce and resolve issues.
- Participate in design and code reviews from a quality perspective.
- Contribute to process improvement and quality best practices within the engineering team.
Required Skills
Core Skills
- Strong experience in test automation using Python, JavaScript, or Java.
- Hands-on with frameworks like PyTest, Playwright, Cypress, or Robot Framework .
- Experience with API testing (Postman, REST Assured, Newman) and CI/CD pipelines (GitHub Actions, Jenkins, GitLab).
- Solid understanding of software testing methodologies — functional, integration, regression, and performance.
Data & Systems Knowledge
- Working knowledge of SQL and data validation principles.
- Familiarity with data pipelines, ETL workflows, and modern data platforms (Snowflake, BigQuery, Databricks, etc.).
- Experience with cloud environments (AWS, GCP, or Azure).
- Exposure to observability and monitoring tools (Prometheus, Grafana, or similar).
Nice to Have
- Experience testing microservices or Kubernetes-based architectures .
- Familiarity with data governance or compliance automation .
- Understanding of performance testing tools (JMeter, Locust, k6).
- Exposure to LLM- or AI-powered applications .
Education
- Bachelor’s degree in Computer Science, Information Systems, or equivalent experience.
What We Offer
- Work on next-generation data and AI systems that impact enterprise-scale users.
- Collaborative environment with autonomy and ownership.
- Competitive compensation, benefits, and career growth opportunities.
- Flexible remote or hybrid work setup.