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      <externalid>472b0f27-8f7</externalid>
      <Title>Senior Full Stack Engineer</Title>
      <Description><![CDATA[<p>About the role We are looking for a seasoned software engineer to join our A+ technical team in designing, building and deploying solutions that span our entire tech stack into production.</p>
<p>Our data analytics platform can translate mobile sensor data from real-world human activity into a “digital fingerprint” with no conscious action from the user, all in real-time, and in a way that respects user privacy.</p>
<p>This is an opportunity to be a part of something truly unique and game-changing.</p>
<p><strong>Your day-to-day</strong></p>
<ul>
<li>Be an early member of a high-performing team of full stack software engineers building a new human identity platform</li>
<li>Take ownership, be creative, and think outside the box to invent and build solutions to real-world customer problems</li>
<li>Understand how the entire system works end-to-end, and eventually become known as the expert in multiple areas</li>
<li>Gain a working knowledge of machine learning and mobile sensor data to help solve problems related to real-time signals processing</li>
<li>Wear many hats to make things happen in a dynamic startup environment</li>
<li>Bring your own unique expertise to the team and learn from others</li>
<li>Enjoy tight collaboration with your teammates</li>
</ul>
<p><strong>Ideal candidates will have...</strong></p>
<ul>
<li>Spent at least 5 years in the trenches of the software industry, delivering quality software that matters to people that care</li>
<li>Many “been there, done that” stories related to shipping and maintaining major software products for customers</li>
<li>Excellent coding skills in at least two object-oriented languages</li>
<li>Hands-on experience deploying services using Kubernetes on AWS</li>
<li>The ability to argue fluently about security and scalability</li>
<li>Experience working with high volumes of data, ideally with machine learning playing a critical role</li>
<li>A breadth of technical skills and know how to use the right tool for the job</li>
<li>High motivation and ability to learn new technologies and domains</li>
<li>A positive can-do attitude and bring a passion for excellence to the workplace</li>
<li>Excellent collaboration and communication skills</li>
<li>Knowledge of cybersecurity, signals processing, or experience working with time-series data a bonus</li>
</ul>
<p><strong>Additional Information</strong></p>
<p>Join us! As we continue to scale our company, we are looking for people who know how to make an impact. We’re talking self-starting professionals who thrive in a fast-paced environment, process information quickly, and make intelligent decisions. The work is challenging and requires not only smarts but natural curiosity and tenacity. Teamwork is also important to us – we work together and play together. Prove has big plans; we’re excited and optimistic about the future. If this sounds like a career for you – come check us out.</p>
<p style="margin-top:24px;font-size:13px;color:#666;">XML job scraping automation by <a href="https://yubhub.co">YubHub</a></p>]]></Description>
      <Jobtype>full-time</Jobtype>
      <Experiencelevel>senior</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>object-oriented languages, Kubernetes, AWS, machine learning, mobile sensor data, cybersecurity, signals processing, time-series data</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Prove</Employername>
      <Employerlogo>https://logos.yubhub.co/prove.com.png</Employerlogo>
      <Employerdescription>Prove is a modern platform for continuous identity authentication, used by over 1,000 enterprises and 500 financial institutions, including 9 of the top 10 U.S. banks.</Employerdescription>
      <Employerwebsite>https://www.prove.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://jobs.lever.co/unify/d9756e0b-9878-4acc-8e0f-607be74487e7?utm_source=yubhub.co&amp;utm_medium=jobs_feed&amp;utm_campaign=apply</Applyto>
      <Location>Redwood City</Location>
      <Country></Country>
      <Postedate>2026-04-17</Postedate>
    </job>
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