Thanks for your interest in the Full Stack Software Developer (Refugee Matching Algorithm) position.
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To be successful in this position you will bring:
- Bachelor’s degree and 3-5 years of relevant experience or combination of education, training, and relevant experience.
- Full-stack knowledge and skills in Python, Django, Javascript, and React.
- Expertise in designing, developing, testing, and deploying applications.
- Demonstrated ability to manage work across many different projects simultaneously, learn skills quickly and efficiently, work well within collaborative and multifunctional team settings, and be highly accountable to deadlines and partner needs.
- Strong communication skills with both technical and non-technical clients.
- Proficiency with application design and data modeling using relational databases.
- Ability to lead activities on structured team development projects.
- Ability to architect and deploy full-stack web applications on the cloud in a secure and scalable way.
- Comfort with server administration with Linux / Apache / WSGI.
- Commitment to and alignment with GeoMatch research goals and IPL’s mission.
In addition, preferred requirements include:
- Experience deploying machine learning applications and knowledge of the machine learning pipeline (the process of training, saving, then running a model).
- Experience with cyber- and information security tools, methods, and regulations.
- Comfort with interfacing with scripts from other languages such as R from Python.
- Demonstrated experience handling a multitude of highly detailed and complex tasks.
- Demonstrated ability to engage and interact with diverse partners (e.g., government agencies, nonprofits, universities).
We recognize that the job description may not exactly match your qualifications. If you think you may be a good fit, we encourage you to apply.
* Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job.
Why Stanford is for You
Imagine a world without search engines or social platforms. Consider lives saved through first-ever organ transplants and research to cure illnesses. Stanford University has revolutionized the way we live and enrich the world. Supporting this mission is our diverse and dedicated 17,000 staff. We seek talent driven to impact the future of our legacy. Our culture and unique perks empower you with:
- Freedom to grow. We offer career development programs, tuition reimbursement, or audit courses. Join a TedTalk, film screening, or listen to a renowned author or global leader speak.
- A caring culture. We provide superb retirement plans, generous time-off, and family care resources.
- A healthier you. Climb our rock wall, or choose from hundreds of health or fitness classes at our world-class exercise facilities. We also provide excellent health care benefits.
- Discovery and fun. Stroll through historic sculptures, trails, and museums.
- Enviable resources. Enjoy free commuter programs, ridesharing incentives, discounts and more!
How to Apply
We invite you to apply for this position by clicking on the “Apply for Job” button. To be considered, please submit a cover letter and résumé along with your online application. Your one-page cover letter should briefly describe your background and interest in IPL and the GeoMatch research program, examples of your software development experience working in highly collaborative environments, and your motivation for working in technology for social impact.
Optional: We also welcome attachments showcasing work samples, portfolios of past projects, and/or GitHub profile links.
Final offers of employment are contingent upon successful completion of national criminal background check, national sex offender registry search and, where applicable, driving record.
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.