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  <jobs>
    <job>
      <externalid>b3a08e4a-8c1</externalid>
      <Title>Senior Security Operations Engineer</Title>
      <Description><![CDATA[<p>Join Brex, the intelligent finance platform that enables companies to spend smarter and move faster in over 200 markets. As a Senior Security Operations Engineer, you will focus on preventing, detecting, and responding to security threats across Brex&#39;s corporate and cloud environments. You will use existing systems and develop tools to improve our security capabilities.</p>
<p>Our team is responsible for functions across corporate security, detection &amp; response, and infrastructure security domains. We perform systems engineering and automation to support those functions. Security Operations is part of our wider Trust &amp; IT organization, which means you will have the opportunity to work closely with Application Security, Corporate Engineering, GRC, and IT.</p>
<p>You will also help build and maintain our team&#39;s open-source project Substation and have the opportunity to contribute to the Brex Tech Blog. You&#39;ll be part of a team that actively contributes to the wider security community and has a commitment to mentorship and engineering excellence.</p>
<p>We&#39;re looking for individuals with a strong background and interest in detecting, responding to, and resolving security incidents and security challenges. You should be comfortable dealing with lots of moving pieces, changing priorities, and new technologies, while having a keen eye for detail.</p>
<p>Most importantly, you should be enthusiastic about working with a variety of backgrounds, roles, and people across Brex. Building a world-class financial service requires world-class security.</p>
<p>As a Senior Security Operations Engineer, you will:</p>
<ul>
<li>Work on a highly cross-functional team to prevent, detect, and respond to security threats across Brex&#39;s corporate and cloud environments</li>
<li>Perform security incident response, investigation, remediation, and documentation, participate in periodic threat hunting and security exercises</li>
<li>Leading, scoping, and building features, participate in designing, and maintaining tools and systems which support the team&#39;s domains – corporate security, detection &amp; response, and infrastructure security</li>
<li>Collaborating and partnering with engineering and operations teams to drive remediation of security issues, while balancing prioritization of those security issues within SLA and teams&#39; respective backlogs</li>
<li>Caring about secure system design, valuing building things correctly, an understanding of a MVP approach, and an empathetic mindset when working with others</li>
</ul>
<p>Requirements:</p>
<ul>
<li>Bachelor&#39;s degree in Computer Science, Engineering, or related field OR equivalent training/fellowship OR 5+ years work experience</li>
<li>Experience working in a corporate security, detection &amp; response, or infrastructure security role with responsibilities for security alert triage and security incident response</li>
<li>Familiarity with CI/CD systems and DevOps workflows (e.g., Buildkite, Flux, Git, Terraform) in cloud environments (e.g., AWS, Azure, GCP)</li>
<li>Experience with deploying and maintaining some of the security services and tools owned by the team (e.g., SIEM, data pipelines, SOAR, domain monitoring, endpoint tooling, email protection tooling, cloud security tools)</li>
<li>While not primarily a development role, the team develops and maintains tools written in Go and Python, so experience with coding is required</li>
<li>You thrive in a collaborative environment filled with a diverse group of people with different expertise and backgrounds</li>
</ul>
<p>Bonus points:</p>
<ul>
<li>Proficiency with Go and other programming languages</li>
<li>Experience with securing distributed systems in AWS, cloud, and Kubernetes environments</li>
<li>Contributions to the wider technical community (open source, public research, mentorship, community organizing, blogging, presentations, etc.)</li>
</ul>
<p>Compensation:</p>
<p>The expected salary range for this role is $192,000 - $240,000. However, the starting base pay will depend on a number of factors including the candidate&#39;s location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.</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>hybrid</Workarrangement>
      <Salaryrange>$192,000 - $240,000</Salaryrange>
      <Skills>Security Operations, Cloud Security, CI/CD Systems, DevOps Workflows, Go, Python, Security Incident Response, Threat Hunting, Secure System Design, Open Source Development, Community Organizing, Blogging, Presentations</Skills>
      <Category>Engineering</Category>
      <Industry>Finance</Industry>
      <Employername>Brex</Employername>
      <Employerlogo>https://logos.yubhub.co/brex.com.png</Employerlogo>
      <Employerdescription>Brex is a financial technology company that provides corporate cards and banking services to businesses.</Employerdescription>
      <Employerwebsite>https://brex.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/brex/jobs/8339252002</Applyto>
      <Location>San Francisco, California, United States</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>2c81c083-464</externalid>
      <Title>Cloud Machine Learning Evangelist</Title>
      <Description><![CDATA[<p>At Hugging Face, we&#39;re on a journey to democratize good AI. As a Cloud Machine Learning Evangelist, your goal will be to increase the impact of the Hugging Face ML Cloud team by educating the community of ML practitioners on how they can benefit by accelerating their training and inference workloads.</p>
<p>The Hugging Face ML Cloud team is working through strategic collaborations with the most used Clouds (AWS, GCP, Azure, Cloudflare), AI Accelerators (incl. NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU), and Systems (Dell, Nutanix), to make it easy for the community to use Hugging Face models and libraries on these compute platforms.</p>
<p>This role is not a marketing role, or a business development role. Your impact will be driving visibility and usage of integrations with strategic partners, through activities including:</p>
<ul>
<li>Publishing technical blog posts</li>
<li>Contributing documentation and code examples</li>
<li>Speaking to business and technical audiences at partner conferences,</li>
<li>Participating in, or producing webinars</li>
<li>Building and evangelizing demos</li>
<li>Leading GTM conversations with strategic partners.</li>
</ul>
<p>You will be at the forefront of Generative AI (and how to build practical stuff with open source). You will work hand in hand with the most important companies in AI. You will enjoy a lot of autonomy and full creative control, with the goal to have 10x more impact than a similar role at a big tech corporation.</p>
<p>About You</p>
<p>You are passionate about ML Engineering, building practical AI applications, putting them in production, and accelerating them to the best of the Cloud ability. You love learning new challenging engineering concepts and technologies, and discussing them with engineers. You appreciate a good Developer Experience, and take pride in your code being easy to understand. You are a great communicator and educator, comfortable (as much as one can be!) with public speaking to technical audiences. You love engaging with the ML community in a positive and helpful way. Existing engagement in social platforms (GitHub, LinkedIn, Twitter, Reddit, etc) or other communication/education channels is expected. Having experience in Open Source development will be helpful.</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>mid</Experiencelevel>
      <Workarrangement>remote</Workarrangement>
      <Salaryrange></Salaryrange>
      <Skills>Cloud Machine Learning, Generative AI, Open Source Development, ML Engineering, Developer Experience, NVIDIA, AMD, Intel, Gaudi, Inferentia, TPU, Dell, Nutanix</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Hugging Face</Employername>
      <Employerlogo></Employerlogo>
      <Employerdescription>Hugging Face is a platform for AI builders with over 11 million users who collectively shared over 2M models, 700k datasets &amp; 600k apps.</Employerdescription>
      <Employerwebsite>https://huggingface.co/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://apply.workable.com/j/F24E2E5058</Applyto>
      <Location>New York, New York</Location>
      <Country></Country>
      <Postedate>2026-03-10</Postedate>
    </job>
  </jobs>
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