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  <jobs>
    <job>
      <externalid>b154f572-13d</externalid>
      <Title>Software Engineer II, Backend</Title>
      <Description><![CDATA[<p>About Pinterest:</p>
<p>Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime.</p>
<p>At Pinterest, we&#39;re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.</p>
<p>Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other&#39;s unique experiences and embrace the flexibility to do your best work.</p>
<p>Creating a career you love? It&#39;s Possible.</p>
<p>At Pinterest, AI isn&#39;t just a feature, it&#39;s a powerful partner that augments our creativity and amplifies our impact, and we&#39;re looking for candidates who are excited to be a part of that.</p>
<p>To get a complete picture of your experience and abilities, we&#39;ll explore your foundational skills and how you collaborate with AI.</p>
<p>Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think.</p>
<p>You can read more about our AI interview philosophy and how we use AI in our recruiting process here.</p>
<p>We are looking for inquisitive, well-rounded Backend engineers to join our Core, Monetization, and Tech Foundations engineering teams.</p>
<p>Working closely with product managers, designers, data scientists, and backend engineers, you&#39;ll play an important role in enabling the newest technologies and experiences as we scale and evolve.</p>
<p>You will build robust frameworks &amp; features.</p>
<p>You will accelerate velocity for one of the world&#39;s largest public cloud workloads.</p>
<p>You will empower both developers and Pinners alike.</p>
<p>You&#39;ll have the opportunity to find creative solutions to thought-provoking problems.</p>
<p>Even better, because we covet the kind of courageous thinking that&#39;s required in order for big bets and smart risks to pay off, you&#39;ll be invited to create and drive new initiatives, seeing them from inception through to technical design, implementation, and release.</p>
<p>What you&#39;ll do:</p>
<ul>
<li>Build out the backend for Pinner-facing features to power the future of inspiration on Pinterest</li>
</ul>
<ul>
<li>Contribute to and lead each step of the product development process, from ideation to implementation to release; from rapidly prototyping, running A/B tests, to architecting and building solutions that can scale to support millions of users</li>
</ul>
<ul>
<li>Partner with design, product, and backend teams to build end-to-end functionality</li>
</ul>
<ul>
<li>Put on your Pinner hat to suggest new product ideas and features</li>
</ul>
<ul>
<li>Employ automated testing to build features with a high degree of technical quality, taking responsibility for the components and features you develop</li>
</ul>
<ul>
<li>Grow as an engineer by working with world-class peers on varied and high impact projects</li>
</ul>
<ul>
<li>Design, develop, and operate large scale, distributed systems and networks</li>
</ul>
<ul>
<li>Work with Engineering customers to understand new requirements and address them in a scalable and efficient manner</li>
</ul>
<ul>
<li>Actively work to improve the developer process and experience in all phases from coding to operation</li>
</ul>
<ul>
<li>Leverage AI to seek faster execution (i.e. draft, prototype, outline) and explore alternative options (i.e. iterate, compare approaches)</li>
</ul>
<ul>
<li>Leverage AI to synthesize information (summarize, distill themes) and automate repeatable tasks (documentation, reporting, QA checks)</li>
</ul>
<p>What we&#39;re looking for:</p>
<ul>
<li>2+ years of industry backend development experience, building consumer or business facing products</li>
</ul>
<ul>
<li>Proficiency in common backend tech stacks for RESTful API, online service, storage, caching and data processing</li>
</ul>
<ul>
<li>Experience building &amp; operating large scale distributed systems and/or networks. Bonus points if you enjoy deploying and operating large scale workloads on a public cloud footprint</li>
</ul>
<ul>
<li>Experience in Python, Java, C++, or Go or another language and a willingness to learn</li>
</ul>
<ul>
<li>Experience in following best practices in writing reliable and maintainable code that may be used by many other engineers</li>
</ul>
<ul>
<li>Ability to keep up-to-date with new technologies to understand what should be incorporated</li>
</ul>
<ul>
<li>Strong collaboration and communication skills</li>
</ul>
<ul>
<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs. Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review). High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables.</li>
</ul>
<p>Relocation Statement:</p>
<p>This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.</p>
<p>At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here.</p>
<p>Canada based applicants only $139,378-$189,378 CAD</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>$139,378-$189,378 CAD</Salaryrange>
      <Skills>backend development, RESTful API, online service, storage, caching, data processing, Python, Java, C++, Go, AI, collaboration, communication, critical evaluation, verification</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Pinterest</Employername>
      <Employerlogo>https://logos.yubhub.co/pinterest.com.png</Employerlogo>
      <Employerdescription>Pinterest is a technology company that operates a social media platform for users to discover and save visual content, known as &apos;Pins&apos;. The platform has millions of active users worldwide.</Employerdescription>
      <Employerwebsite>https://www.pinterest.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/pinterest/jobs/5132899</Applyto>
      <Location>Toronto, ON, CA</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
    <job>
      <externalid>e12807fc-1d5</externalid>
      <Title>Sr. Backend Engineer,  tvScientific</Title>
      <Description><![CDATA[<p>We&#39;re looking for a Senior Backend Engineer to help design, build, and scale tvScientific&#39;s contract and billing systems that support direct advertisers, internal teams, and Finance. This role focuses on building backend services that can support a wide range of contract structures and billing models while maintaining strong guarantees around correctness, auditability, and operational reliability.</p>
<p>You&#39;ll work on systems that must operate accurately across different commercial relationships and external partners, ensuring our contract logic remains consistent, flexible, and maintainable as the business scales. This is a high-impact backend role at the intersection of revenue, finance, and customer operations, where clear domain modeling, data integrity, and sound engineering judgment matter more than any specific implementation approach.</p>
<p>Responsibilities:</p>
<ul>
<li>Design and implement backend systems for contract lifecycle management, including creation, versioning, approvals, amendments, and renewals</li>
<li>Build and evolve contract management capabilities (e.g., terms, payouts, attribution rules, eligibility, and partner-specific logic) for our CPA Contract/Billing model</li>
<li>Support the expansion of CPM billing model contracts, including rate management, impression-based calculations, and integrations with billing and finance systems</li>
<li>Develop APIs and services that serve customers, internal operations teams, and finance stakeholders</li>
<li>Partner closely with Product, Finance, and Data teams to translate business requirements into robust technical solutions</li>
<li>Ensure systems are auditable, accurate, and compliant, with strong data integrity guarantees</li>
<li>Improve system observability, reliability, and performance as contract volume and complexity scale</li>
<li>Own backend services and data models related to contracts and billing</li>
<li>Lead technical design discussions and make pragmatic architectural decisions</li>
<li>Write clean, well-tested, and maintainable code with a strong focus on correctness</li>
<li>Drive improvements in data consistency, validation, and error handling across contract workflows</li>
<li>Review code and mentor other engineers, setting a high bar for backend quality</li>
<li>Collaborate cross-functionally to support new deal structures and evolving business models</li>
</ul>
<p>What we&#39;re looking for:</p>
<ul>
<li>Experience with billing/contract mechanisms (specifically affiliate platforms)</li>
<li>Bachelor’s degree in computer science, a related field or equivalent experience</li>
<li>Experience building large-scale full-stack products.</li>
<li>Deep understanding of web development and best practices in React/Redux</li>
<li>Strong experience with programming languages Javascript and Python/Java</li>
<li>Strong software engineering principles and practices</li>
<li>Strong collaboration and communication skills</li>
<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs</li>
<li>Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)</li>
<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables</li>
</ul>
<p>Nice-to-Haves:</p>
<ul>
<li>Experience working closely with finance or accounting teams</li>
<li>Background in building audit-friendly or compliance-sensitive systems</li>
</ul>
<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>remote</Workarrangement>
      <Salaryrange>$155,584-$320,320 USD</Salaryrange>
      <Skills>billing/contract mechanisms, affiliate platforms, Javascript, Python/Java, React/Redux, web development, software engineering principles, collaboration and communication skills, AI to improve speed and quality, critical evaluation and verification of AI-assisted work</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>tvScientific</Employername>
      <Employerlogo>https://logos.yubhub.co/tvscientific.com.png</Employerlogo>
      <Employerdescription>tvScientific is a CTV advertising platform purpose-built for performance marketers. It leverages massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes.</Employerdescription>
      <Employerwebsite>https://www.tvscientific.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/pinterest/jobs/7782548</Applyto>
      <Location>San Francisco, CA, US; Remote, US</Location>
      <Country></Country>
      <Postedate>2026-04-24</Postedate>
    </job>
    <job>
      <externalid>ccb5daf2-354</externalid>
      <Title>Sr. ML Ops Engineer, tvScientific</Title>
      <Description><![CDATA[<p>We&#39;re looking for a Senior MLOps Engineer to join our distributed engineering team on our Connected TV ad-buying platform. As a Senior MLOps Engineer, you will be responsible for scaling the decision-making process for tools for the tvScientific AI team, improving the developer experience for the data science team, upgrading our observability tooling, serving as a technical lead and mentor to the team, and making every deployment smooth as our infrastructure evolves.</p>
<p>Key responsibilities include:</p>
<ul>
<li>Scaling the decision-making process for tools for the tvScientific AI team, from our workflows to our training infrastructure to our Kubernetes deployments</li>
<li>Improving the developer experience for the data science team</li>
<li>Upgrading our observability tooling</li>
<li>Serving as a technical lead and mentor to the team</li>
<li>Making every deployment smooth as our infrastructure evolves</li>
</ul>
<p>Requirements include:</p>
<ul>
<li>Deep understanding of Linux</li>
<li>Excellent writing skills</li>
<li>A systems-oriented mindset</li>
<li>Experience in high-performance software (RTB, HFT, etc.)</li>
<li>Software engineering experience + reliability (e.g. CI/CD) expertise</li>
<li>Strong observability instincts</li>
<li>Demonstrated ability to use AI to improve speed and quality in your day-to-day workflow for relevant outputs</li>
<li>Strong track record of critical evaluation and verification of AI-assisted work (e.g., testing, source-checking, data validation, peer review)</li>
<li>High integrity and ownership: you protect sensitive data, avoid over-reliance on AI, and remain accountable for final decisions and deliverables</li>
</ul>
<p>Nice-to-haves include:</p>
<ul>
<li>Reverse-engineering experience</li>
<li>Terraform, EKS, or MLOps experience</li>
<li>Python, Scala, or Zig experience</li>
<li>NixOS experience</li>
<li>Adtech or CTV experience</li>
<li>Experience deploying a distributed system across multiple clouds</li>
<li>Experience in hard real-time low-latency</li>
</ul>
<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>remote</Workarrangement>
      <Salaryrange>$155,584-$320,320 USD</Salaryrange>
      <Skills>Linux, writing skills, systems-oriented mindset, high-performance software, software engineering, reliability, observability, AI, critical evaluation, verification, data protection, data validation, peer review, reverse-engineering, Terraform, EKS, MLOps, Python, Scala, Zig, NixOS, adtech, CTV, distributed system, hard real-time low-latency</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>tvScientific</Employername>
      <Employerlogo>https://logos.yubhub.co/tvscientific.com.png</Employerlogo>
      <Employerdescription>tvScientific is a CTV advertising platform purpose-built for performance marketers, leveraging massive data and cutting-edge science to automate and optimize TV advertising.</Employerdescription>
      <Employerwebsite>https://www.tvscientific.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/pinterest/jobs/7642249</Applyto>
      <Location>San Francisco, CA, US; Remote, US</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
  </jobs>
</source>