<?xml version="1.0" encoding="UTF-8"?>
<source>
  <jobs>
    <job>
      <externalid>3fa0b80f-842</externalid>
      <Title>Staff Software Engineer, Public Sector</Title>
      <Description><![CDATA[<p>Job Title: Staff Software Engineer, Public Sector</p>
<p>We are seeking a highly skilled Staff Software Engineer to join our Public Sector team. As a Staff Software Engineer, you will be responsible for designing and implementing software solutions for the public sector. You will work closely with cross-functional teams to develop and deploy software applications that meet the needs of government agencies.</p>
<p>Responsibilities:</p>
<ul>
<li>Design and implement software solutions for the public sector</li>
<li>Work closely with cross-functional teams to develop and deploy software applications</li>
<li>Collaborate with stakeholders to understand their needs and develop software solutions that meet those needs</li>
<li>Develop and maintain software documentation</li>
<li>Participate in code reviews and ensure that code meets quality standards</li>
</ul>
<p>Requirements:</p>
<ul>
<li>Bachelor&#39;s degree in Computer Science or related field</li>
<li>5+ years of experience in software development</li>
<li>Proficiency in programming languages such as Java, Python, or C++</li>
<li>Experience with Agile development methodologies</li>
<li>Strong understanding of software design patterns and principles</li>
<li>Excellent communication and collaboration skills</li>
</ul>
<p>Preferred Qualifications:</p>
<ul>
<li>Master&#39;s degree in Computer Science or related field</li>
<li>10+ years of experience in software development</li>
<li>Experience with cloud-based technologies such as AWS or Azure</li>
<li>Experience with DevOps practices</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Competitive salary and benefits package</li>
<li>Opportunities for professional growth and development</li>
<li>Collaborative and dynamic work environment</li>
</ul>
<p>Salary Range: $252,000-$362,000 USD</p>
<p>Required Skills:</p>
<ul>
<li>Full Stack Development</li>
<li>Cloud-Native Technologies</li>
<li>Data Engineering</li>
<li>AI Application Integration</li>
<li>Problem Solving</li>
<li>Collaboration and Communication</li>
<li>Adaptability and Learning Agility</li>
</ul>
<p>Preferred Skills:</p>
<ul>
<li>Experience with modern web development frameworks</li>
<li>Familiarity with cloud platforms</li>
<li>Understanding of containerization and container orchestration</li>
<li>Knowledge of ETL processes</li>
<li>Understanding of data modeling, data warehousing, and data governance principles</li>
<li>Familiarity with integrating Large Language Models</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>staff</Experiencelevel>
      <Workarrangement>onsite</Workarrangement>
      <Salaryrange>$252,000-$362,000 USD</Salaryrange>
      <Skills>Full Stack Development, Cloud-Native Technologies, Data Engineering, AI Application Integration, Problem Solving, Collaboration and Communication, Adaptability and Learning Agility, Experience with modern web development frameworks, Familiarity with cloud platforms, Understanding of containerization and container orchestration, Knowledge of ETL processes, Understanding of data modeling, data warehousing, and data governance principles, Familiarity with integrating Large Language Models</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Scale</Employername>
      <Employerlogo>https://logos.yubhub.co/scale.com.png</Employerlogo>
      <Employerdescription>Scale develops reliable AI systems for the world&apos;s most important decisions.</Employerdescription>
      <Employerwebsite>https://www.scale.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/scaleai/jobs/4674913005</Applyto>
      <Location>San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>2a2d718a-f65</externalid>
      <Title>Senior Software Engineer, AI Platform and Enablement</Title>
      <Description><![CDATA[<p><strong>About the Role</strong></p>
<p>We&#39;re building a next-generation AI-powered platform and web application for creating audio and video content quickly and easily. This involves developing a revolutionary way to record, transcribe, edit, and mix audio and video on the web using state-of-the-art AI models,a challenge that requires solving complex technical problems. We&#39;re hiring a senior engineer to join our AI Platform and Enablement team. The ideal candidate thrives in a fast-moving, high-ownership environment and is comfortable navigating the ambiguity of bringing research work into an established product.</p>
<p><strong>About the Team</strong></p>
<p>The team’s objective is to support integrating cutting-edge first-party models (developed by our in-house AI Research team) and third-party/open source AI models into the Descript product.</p>
<p><strong>Responsibilities</strong></p>
<ul>
<li>Build, maintain, and standardize third-party model integrations, including consulting for other engineering teams with AI model integration needs</li>
</ul>
<ul>
<li>Design, implement, and maintain our AI infrastructure supporting our machine learning life cycle, including data ingestion pipelines, training developer experience and infrastructure, evaluation frameworks, and deployments / GPU infrastructure</li>
</ul>
<ul>
<li>Collaborate with Product Managers, Research Engineers, and AI Researchers to understand their infrastructure needs and ensure our AI systems are robust, scalable, and efficient</li>
</ul>
<ul>
<li>Optimise and scale our models and algorithms for efficient inference</li>
</ul>
<ul>
<li>Deploy, monitor, and manage AI models in production</li>
</ul>
<p><strong>What You Bring</strong></p>
<ul>
<li>Experience in deploying and managing AI models in production</li>
</ul>
<ul>
<li>Experience with the tools of large volume data pipelines like spark, flume, dask, etc.</li>
</ul>
<ul>
<li>Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes).</li>
</ul>
<ul>
<li>Knowledge of DevOps and MLOps best practices</li>
</ul>
<ul>
<li>Strong problem-solving abilities and excellent communication skills.</li>
</ul>
<p><strong>Benefits</strong></p>
<ul>
<li>Generous healthcare package</li>
</ul>
<ul>
<li>401k matching program</li>
</ul>
<ul>
<li>Catered lunches</li>
</ul>
<ul>
<li>Flexible vacation time</li>
</ul>
<p><strong>Fun fact about me: I love pineapple on pizza.</strong></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>$180,000 - $286,000/year</Salaryrange>
      <Skills>Experience in deploying and managing AI models in production, Experience with the tools of large volume data pipelines like spark, flume, dask, etc., Familiarity with cloud platforms (AWS, Google Cloud, Azure) and container technologies (Docker, Kubernetes), Knowledge of DevOps and MLOps best practices, Strong problem-solving abilities and excellent communication skills</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Descript</Employername>
      <Employerlogo>https://logos.yubhub.co/descript.com.png</Employerlogo>
      <Employerdescription>Descript is building a simple, intuitive, fully-powered editing tool for video and audio. It has 150 employees and is backed by OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.</Employerdescription>
      <Employerwebsite>https://descript.com/</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://job-boards.greenhouse.io/descript/jobs/7580335003</Applyto>
      <Location>San Francisco, CA</Location>
      <Country></Country>
      <Postedate>2026-04-18</Postedate>
    </job>
    <job>
      <externalid>9afb309b-13e</externalid>
      <Title>Principal Software Engineer</Title>
      <Description><![CDATA[<p>You will play a key role in driving our data strategy, ensuring the integrity and accessibility of our data and leveraging data insights to support business decisions. As a Principal Software Engineer, you will collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. You will develop and optimize data models to support data analytics, utilize advanced analytics techniques to extract insights from large datasets, and drive data-driven decision making. You will also implement data validation frameworks and monitoring systems to detect and resolve data quality issues, troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery. Additionally, you will work with a security-first mindset, focusing on system scalability and maintainability, and coach and mentor peers and emerging team members while advocating for best practices.</p>
<p>Responsibilities:</p>
<ul>
<li>Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions.</li>
<li>Develop and optimize data models to support data analytics.</li>
<li>Utilize advanced analytics techniques to extract insights from large datasets and drive data-driven decision making.</li>
<li>Implement data validation frameworks and monitoring systems to detect and resolve data quality issues.</li>
<li>Troubleshoot and resolve issues in data pipelines to ensure timely and accurate data delivery.</li>
<li>Work with a security-first mindset, focusing on system scalability and maintainability.</li>
<li>Coach and mentor peers and emerging team members while advocating for best practices.</li>
</ul>
<p>Qualifications:</p>
<ul>
<li>Bachelor&#39;s Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>
<li>Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.</li>
<li>6+ years of experience in software engineering, with a focus on data engineering and data analytics.</li>
<li>Solid experience with data processing frameworks such as Apache Spark, Hadoop.</li>
<li>Expertise in SQL and experience with RDBMS, Key Value stores.</li>
<li>Familiarity with cloud platforms and data services.</li>
<li>Excellent problem-solving skills and the ability to work independently and as part of a team.</li>
<li>Solid communication skills.</li>
<li>Familiarity with Azure.</li>
<li>Experience with machine learning and data science tools and frameworks.</li>
<li>Knowledge of data visualization tools (e.g., Tableau, Power BI).</li>
<li>Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</li>
</ul>
<p>Preferred Qualifications:</p>
<ul>
<li>Master&#39;s Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor&#39;s Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience.</li>
<li>8+ years of experience in software engineering, with a focus on data engineering and data analytics.</li>
<li>Solid experience with data processing frameworks such as Apache Spark, Hadoop.</li>
<li>Expertise in SQL and experience with RDBMS, Key Value stores.</li>
<li>Familiarity with cloud platforms and data services.</li>
<li>Excellent problem-solving skills and the ability to work independently and as part of a team.</li>
<li>Solid communication skills.</li>
<li>Familiarity with Azure.</li>
<li>Experience with machine learning and data science tools and frameworks.</li>
<li>Knowledge of data visualization tools (e.g., Tableau, Power BI).</li>
<li>Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).</li>
</ul>
<p>Salary Range:</p>
<ul>
<li>The typical base pay range for this role across the U.S. is USD $139,900 – $274,800 per year.</li>
<li>There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 – $304,200 per year.</li>
</ul>
<p>Benefits:</p>
<ul>
<li>Microsoft is an equal opportunity employer.</li>
<li>All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.</li>
<li>If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.</li>
</ul>
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<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>USD $139,900 – $274,800 per year</Salaryrange>
      <Skills>C, C++, C#, Java, JavaScript, Python, Apache Spark, Hadoop, SQL, RDBMS, Key Value stores, Cloud platforms, Data services, Machine learning, Data science, Tableau, Power BI, Docker, Kubernetes, Master&apos;s Degree in Computer Science or related technical field, 8+ years technical engineering experience, Expertise in SQL and experience with RDBMS, Key Value stores, Familiarity with cloud platforms and data services, Excellent problem-solving skills, Solid communication skills, Familiarity with Azure, Experience with machine learning and data science tools and frameworks, Knowledge of data visualization tools (e.g., Tableau, Power BI), Experience with containerization and orchestration tools (e.g., Docker, Kubernetes)</Skills>
      <Category>Engineering</Category>
      <Industry>Technology</Industry>
      <Employername>Microsoft Advertising</Employername>
      <Employerlogo>https://logos.yubhub.co/microsoft.ai.png</Employerlogo>
      <Employerdescription>Microsoft Advertising empowers the world&apos;s largest advertisers to reach their maximum potential through digital advertising solutions on the Microsoft Advertising platform.</Employerdescription>
      <Employerwebsite>https://microsoft.ai</Employerwebsite>
      <Compensationcurrency></Compensationcurrency>
      <Compensationmin></Compensationmin>
      <Compensationmax></Compensationmax>
      <Applyto>https://microsoft.ai/job/principal-software-engineer-37/</Applyto>
      <Location>Mountain View</Location>
      <Country></Country>
      <Postedate>2026-03-08</Postedate>
    </job>
  </jobs>
</source>