Job Description


Job Overview

  • Job ID:

    J52303

  • Job Title:

    QA - Python

  • Location:

    San Jose, CA

  • Duration:

    5 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099, C2C

Must have

  • Python coding experience
  • AWS
  • Manual and Automation

Minimum Qualifications:

  • Bachelor's or higher degree in Computer Science, Computer Engineering, or a related field.
  • 5+ years of experience in testing cloud applications, distributed systems, and networking systems in virtualized and on-prem environments.
  • Extensive experience in developing and architecting Test Automation frameworks and infrastructure, specifically for cloud-based applications.
  • Strong hands-on experience in automation using Python, UI automation with Selenium, and working in CI/CD environments with tools like Git, Jenkins, and third-party Open-Source Test Frameworks.
  • Proven ability to break down complex cloud architectures, create detailed test strategies, test plans, and test cases, and execute comprehensive test cycles.
  • Strong motivation to lead and mentor in an Agile/Scrum environment, with the ability to work independently and drive quality initiatives.
  • Deep understanding of networking protocols such as TCP/IP, DHCP, DNS, VLANs, and cloud networking concepts.
  • Experience with DevOps and test infrastructure tools such as Jenkins, Git, Gerrit, JIRA, Terraform, and Ansible.

Preferred Experience:

  • Proven experience leading QA efforts in highly technical teams employing Agile and Scrum methodologies.
  • Expertise in Test Automation, Performance & Scale Testing, Simulation Testing, and related frameworks.
  • Hands-on experience with Cloud platforms (AWS, GCP, Azure) and containerization/virtualization technologies like Docker, Kubernetes, ESXi, Xen.
  • Strong knowledge of observability tools like Grafana, Prometheus, ELK stack for monitoring, logging, and reporting.
  • Experience integrating AI/ML-driven testing and utilizing tools like GitHub Copilot to enhance automation.

Professional certifications such as AWS Certified Solutions Architect, Google Professional Cloud Engineer, or CCNA are a plus.


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Equal Opportunity Employer

DATA SCIENCE TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. DATA SCIENCE TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will DATA SCIENCE TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract