QA - Python

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. Equal Opportunity Employer MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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. #J-18808-Ljbffr Machine Learning Technologies LLC