QA Automation Engineer

8 years

0 Lacs

Posted:18 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Job Title:

Experience:

Job Summary:

API Test Engineer


Key Responsibilities:

  • Develop and maintain automated test scripts using 

    Python

     and 

    Shell scripting

    .
  • Design and implement robust 

    python-based API testing frameworks

     (e.g.,

Pytest,

  • Robot Framework,

  • Postman/Newman,

  • Requests,

  • HTTPx,

  • Locust

     (for load and performance testing)
  • Schemathesis

     (for contract testing)
  • Taurus

     (for YAML-based API testing)
  • Integrate API tests into 

    CI/CD pipelines

     using tools like Jenkins, GitHub Actions, GitLab CI, or Azure DevOps.
  • Analyze logs and metrics using 

    ELK Stack (Elasticsearch, Logstash, Kibana)

    to identify test failures and system anomalies.
  • Create and maintain 

    Shell scripts

     for test environment setup and automation.
  • Collaborate with developers, QA, and DevOps teams to ensure high-quality releases.
  • Track and manage bugs, test cases, and tasks using 

    Azure DevOps (ADO)

    .
  • Contribute to test documentation, including test plans, execution reports, and dashboards.


Required Skills:

  • Strong proficiency in 

    Python

     and 

    Shell scripting

    .
  • Deep understanding of 

    API testing methodologies

     and 

    open-source Python tools

    .
  • Experience with 

    CI/CD tools

     and integrating automated tests into pipelines.
  • Hands-on experience with 

    Logstash

    Kibana

    , and 

    Elasticsearch

    .
  • Familiarity with 

    Azure DevOps (ADO)

     for issue tracking and test management.
  • Solid grasp of 

    HTTP protocols

    JSON

    API security

    , and 

    error handling

    .
  • Experience working in 

    Agile/Scrum

     environments.


Good to Have:

  • Exposure to 

    performance testing

     tools like 

    Locust

    JMeter

    , or 

    Gatling

    .
  • Experience with 

    Docker

    Kubernetes

    , or other container technologies.
  • Familiarity with 

    cloud platforms

     (AWS, Azure, GCP).


if interested share cv to sarojini.y@techygeeksit.com

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