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Urgent! QA Engineer Job Opening In Hyderabad – Now Hiring Azoon Tech Consulting LLC



Job description

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.


Required Skill Profession

Computer Occupations



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