QA Automation Engineer responsible for designing and executing automated test frameworks and test plans for web and mobile applications. Must perform Selenium/WebDriver automation, mobile app testing (iOS/Android), webservices testing, script in multiple languages, write complex SQL queries, and work in Agile teams to ensure software quality.
Company Description
Job Description
Role: QA Automation Engineer with Strong Web services and Selenium Exp.
Duration: 12 months.
Location: San Francisco,CA
Rate: $50 /hr. on C2C (negotiable)
Description:
QUALIFICATIONS
- BS in Software Engineering, Computer Science, IS, or other related field
- A total 8 years of IT experience is required.
- Agile methodology experience is required
- 5+ years of software development or equivalent test automation experience
- 3+ years of experience writing test cases, test plans, and/or test strategies
- 2+ years scripting in RUBY, JAVA, VB, C++ And/OR PERL
- Familiarity with testing W3C / HTML5 compliant Web, Mobile, and JavaScript
- Experience in Mobile Application Testing.
- Experience with agile development and Selenium / WebDriver
- Experience with iOS/Android development, Javascript, HTML5 testing
- Solid understanding of relational databases RDBMS and scripting of a complex SQL queries
- Strong problem solving skills
- Excellent written and verbal communication skills
Past experience in electronic payment line of business is a plus.
Additional InformationIf interested . please revert your feedback to chris at tekwissen dot com with an updated resume and Visa status in US.
Similar Jobs
.jpeg)
Artificial Intelligence • Hardware • Information Technology • Machine Learning
The role involves defining and evaluating architectural requirements for memory solutions tailored for AI workloads, including thermal management and power delivery architectures.
Top Skills:
HbmHigh-Performance Memory DevicesPower DeliveryThermal Management
Artificial Intelligence • Hardware • Information Technology • Machine Learning
Lead development, layout, and optimization of high-speed datapath IO circuits for next‑gen NAND flash, driving AI-first workflows. Own architecture decisions, verify major IO blocks, redesign engineering workflows to embed AI, mentor teams, and collaborate across functions to meet aggressive data-rate and power targets.
Top Skills:
Agentic WorkflowsAi AgentsBsimCoding CopilotsDdr4Ddr5EdaFine-TuningHbm3Hbm3EHbm4Layout Suggestion EnginesLlm-Based AssistantsLpddr5Lpddr6Ml-Based EdaParasitic ExtractionPhysical Design FlowsPrompt EngineeringRetrieval-Augmented Generation (Rag)RtlWaveform Interpretation
Artificial Intelligence • Hardware • Information Technology • Machine Learning
As a Senior Design Engineer, you will design, analyze, and validate analog and mixed-signal circuits for memory products, optimize performance, and collaborate with cross-functional teams to develop innovative solutions.
Top Skills:
Analog And Mixed-Signal Circuit DesignBashCadenceDrcFast SpiceHspiceLinuxLvsNand DesignPythonTclUnix
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
