Software Test Engineer
Our client is seeking: Cybersecurity testing/dev experience a huge plus Software development experience in one or more general purpose programming languages Experience working with two or more from the following: web application development, Unix/Linux environments, software drivers, distributed and parallel systems, networking, database development, and/or security software development Familiarity with a Software Development Life Cycle and willingness to wear multiple hats within it Working proficiency and communication skills in verbal and written English Work independently in cross-functional teams to lead the automated test scripting effort on multiple Data Analysis, and Bioinformatics type applications Work in a scrum environment with daily standups, bi-weekly demos and sprint planning meetings Work collaboratively with other Automation engineers to build a sustainable and transferrable architecture for Automation. Work with software developers, scientists and domain experts in understanding requirements of the software and translating test cases into automated test scripts. Work on manually executing test cases Collaborate with peers to identify opportunities for process improvement.
Compensation, Benefits, and Employment Type
- Full Time, Contract – 8 months +
- Pay Range: $45-55/hr.
- San Diego, CA 92101
- Job# bh11238
Skills: Experience with one or more general purpose programming languages including but not limited to: C/C++, C#, Python Experience developing accessible technologies Interest and ability to learn other coding languages as needed 0-5 years of experience writing automated test scripts on an agile software team or doing manual software testing. This could be undergraduate, internship or professional experience. (Candidates with 10+ years of experience are likely overqualified. Looking for recent graduates from top engineering programs). Must have some internship experience. Experience with multiple internships is ideal. Must have strong verbal and written communication and troubleshooting skills. Basic understanding of biology/genetics/NGS preferred, but not required Excellent cultural (fast-paced, collaborative, fun, adaptable) and technical fit a must.
Education: Bachelor or Master Degree (or higher) in Computer Science, Bioinformatics, Bioengineering, Computational Science, or related field from an accredited university. Successful candidates have graduated engineering programs from UCSD, USD, UCLA, USC, Cal, and Stanford. Recommended to include GPA on resume. Ideal candidates will have a GPA of 3.2 or higher.
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