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▷ 15h Left : QA Engineer

▷ 15h Left : QA Engineer

Azoon Tech Consulting LLCHyderabad, Telangana, India
4 hours ago
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.
  • Create a job alert for this search

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