QA Engineer

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.