Extend is modernizing the $100 billion-per-year protection plan industry using cutting-edge technology and top-notch customer service.
Our technology-forward omnichannel and API-first solution allows any merchant to offer protection plans, both online and in store, while also providing a merchant's end customers with a vastly improved and modern support experience that eliminates many of the issues customers face today with legacy underwriters. More recently, Extend also launched a shipping protection solution, covering consumers in the case of lost, damaged or stolen packages. This is further expanding the company’s addressable market and value creation for merchants.
We are a venture-backed startup in downtown San Francisco led by founders who have previously had multiple successful exits. Extend simplifies the technology stack for the product and shipping protection industries.
Position Title: Machine Learning/DevOps Engineer II
Position Location: 353 Sacramento Street, Suite 2200, San Francisco, CA 94111
Hours: Monday – Friday, 8:00 am to 5:00 pm
Summary of Duties:
Create reusable infrastructure components using infrastructure-as-code technologies to allow teams to manage their own infrastructure needs.
Design Data/Machine Learning pipelines to transform Data/Machine Learning features.
Mature the CI/CD pipeline to enable teams to scale in a self-service way to help reduce deployment cost and time.
Collaborate with product engineering teams to design scalable infrastructure and deployment patterns for customer facing solutions.
Act as an expert in AWS technologies by providing guidance on appropriate AWS solutions to address business needs.
Write Python code to manipulate data and provide APIs for internal services.
MINIMUM REQUIREMENTS: Bachelor’s degree in Computer Science, Data Science, Information Systems, a closely related field or foreign equivalent plus 2 years’ experience as a Data Analyst/Engineer, DevOps Engineer, or closely related position.
SPECIAL SKILLS OR OTHER REQUIREMENTS:
*Position can be performed remotely anywhere in the U.S.
Experience must include:
Design data pipelines to transfer to transform/deploy machine learning algorithms.
*The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, work location and job-related knowledge, skills and experience.
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Life at Extend:
Working with a great team from diverse backgrounds in a collaborative and supportive environment.
Competitive salary based on experience, with full medical and dental & vision benefits.
Stock in an early-stage startup growing quickly.
Very generous, flexible paid time off policy.
401(k) with Financial Guidance from Morgan Stanley.