{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/platform-technologies"},"x-facet":{"type":"skill","slug":"platform-technologies","display":"Platform Technologies","count":2},"x-feed-size-limit":100,"x-feed-sort":"enriched_at desc","x-feed-notice":"This feed contains at most 100 jobs (the most recently enriched). For the full corpus, use the paginated /stats/by-facet endpoint or /search.","x-generator":"yubhub-xml-generator","x-rights":"Free to redistribute with attribution: \"Data by YubHub (https://yubhub.co)\"","x-schema":"Each entry in `jobs` follows https://schema.org/JobPosting. YubHub-native raw fields carry `x-` prefix.","jobs":[{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_b2050498-257"},"title":"Software Engineer III - UGX","description":"<p>Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. As a Software Engineer III, you will join the Integrated Content team at the center of our User-Generated Experiences (UGX) technology for enriching and distributing player-driven content.</p>\n<p>Infrastructure &amp; Platform Services builds and runs the technology foundation for EA&#39;s games. Our teams deliver the live services and backend infrastructure that are used to ship, scale, and operate secure, reliable game experiences for millions of players worldwide.</p>\n<p>As a Software Engineer III, you will report to a Senior Engineering Manager. You will develop dynamic, responsive, and resilient systems. You will design and implement automated AI workflows for self-service onboarding. You will implement automated data migration and data backup strategies for system backup and restore. You will design, implement, and maintain complex systems and features end-to-end. You will implement security best practices including access control for ingestion and search platforms.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Developing dynamic, responsive, and resilient systems</li>\n<li>Designing and implementing automated AI workflows for self-service onboarding</li>\n<li>Implementing automated data migration and data backup strategies for system backup and restore</li>\n<li>Designing, implementing, and maintaining complex systems and features end-to-end</li>\n<li>Implementing security best practices including access control for ingestion and search platforms</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>6+ years of professional experience programming back-end services</li>\n<li>Expertise in Scala or Java</li>\n<li>Proficiency in Python</li>\n<li>Experience implementing AI solutions and workflows</li>\n<li>Experience delivering and managing high-traffic, high-performance services</li>\n<li>Expertise in Search Platform technologies including OpenSearch or ElasticSearch</li>\n<li>Exposure to both imperative and functional programming languages</li>\n<li>Experience deploying and maintaining virtual infrastructure on AWS (e.g., EKS, OpenSearch, Terraform), or other cloud providers</li>\n<li>Experience building CI/CD pipelines</li>\n</ul>\n<p>This is a hybrid remote/in-office role.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_b2050498-257","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Electronic Arts","sameAs":"https://jobs.ea.com","logo":"https://logos.yubhub.co/jobs.ea.com.png"},"x-apply-url":"https://jobs.ea.com/en_US/careers/JobDetail/Software-Engineer-III-UGX/213685","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$122,300 - $170,700 CAD","x-skills-required":["Scala","Java","Python","AI","Search Platform technologies","OpenSearch","ElasticSearch","AWS","CI/CD pipelines"],"x-skills-preferred":[],"datePosted":"2026-04-24T13:16:15.805Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Vancouver"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Scala, Java, Python, AI, Search Platform technologies, OpenSearch, ElasticSearch, AWS, CI/CD pipelines","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":122300,"maxValue":170700,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_363bbf83-482"},"title":"Manager, AI Deployment Engineering - Health & Life Sciences","description":"<p><strong>Compensation</strong></p>\n<ul>\n<li>Zone A$251K – $335K • Offers Equity</li>\n</ul>\n<p>The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.</p>\n<ul>\n<li>Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts</li>\n</ul>\n<ul>\n<li>Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)</li>\n</ul>\n<ul>\n<li>401(k) retirement plan with employer match</li>\n</ul>\n<ul>\n<li>Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)</li>\n</ul>\n<ul>\n<li>Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees</li>\n</ul>\n<ul>\n<li>13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)</li>\n</ul>\n<ul>\n<li>Mental health and wellness support</li>\n</ul>\n<ul>\n<li>Employer-paid basic life and disability coverage</li>\n</ul>\n<ul>\n<li>Annual learning and development stipend to fuel your professional growth</li>\n</ul>\n<ul>\n<li>Daily meals in our offices, and meal delivery credits as eligible</li>\n</ul>\n<ul>\n<li>Relocation support for eligible employees</li>\n</ul>\n<ul>\n<li>Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.</li>\n</ul>\n<p><strong>About the Team</strong></p>\n<p>The AI Deployment Engineering team works at the intersection of cutting-edge AI research and real-world application. We partner directly with OpenAI’s most strategic customers to design, implement, and scale production deployments of generative AI systems. Our work ensures that organizations can safely and effectively integrate AI into critical workflows.</p>\n<p>Within this team, the Health &amp; Life Sciences (HLS) segment focuses on enabling pharmaceutical manufacturers, biotechnology companies, medical device organizations, contract research organizations (CROs), and health systems to adopt AI responsibly in regulated environments. We work across clinical, scientific, regulatory, and operational functions to unlock meaningful impact while maintaining the highest standards of safety, privacy, and compliance.</p>\n<p><strong>About the Role</strong></p>\n<p>We are seeking a Manager, AI Deployment Engineering to lead our Healthcare &amp; Life Sciences deployment efforts. In this role, you will build and mentor a high-performing team of deployment engineers dedicated to helping HLS organizations move from experimentation to production with OpenAI technologies.</p>\n<p>You will operate at both strategic and technical levels , partnering with executive stakeholders, technical leaders, and cross-functional internal teams to deliver secure, compliant, and high-impact AI deployments. This role requires a strong technical foundation, people leadership experience, and a deep appreciation for the complexity of regulated healthcare and life sciences environments.</p>\n<p>This role is based in San Francisco or Seattle. We use a hybrid work model of 3 days in the office per week.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Own the strategy and operating model of the HLS AI Deployment Engineering team, ensuring alignment with company objectives and the evolving needs of our customers.</li>\n</ul>\n<ul>\n<li>Hire, mentor, and develop a high-impact team of AI Deployment Engineers focused on HLS production deployments</li>\n</ul>\n<ul>\n<li>Establish operating mechanisms, delivery standards, and best practices tailored to regulated environments</li>\n</ul>\n<ul>\n<li>Foster a culture of technical excellence, customer empathy, and responsible AI deployment</li>\n</ul>\n<ul>\n<li>Drive Successful Enterprise Deployments and oversee end-to-end implementation of generative AI applications in production across healthcare and life sciences organizations</li>\n</ul>\n<ul>\n<li>Guide customers through complex integration efforts spanning R&amp;D, clinical development, regulatory affairs, medical affairs, and IT</li>\n</ul>\n<ul>\n<li>Develop scalable frameworks for secure, compliant AI adoption in environments governed by HIPAA, GxP, FDA, EMA, and related regulatory standards</li>\n</ul>\n<ul>\n<li>Ensure measurable impact through activation, adoption, and workflow transformation (e.g., drug discovery acceleration, clinical documentation support, regulatory submission drafting)</li>\n</ul>\n<ul>\n<li>Collaborate closely with Sales, Account Directors, Solutions Architects, Product, Security, and Legal teams</li>\n</ul>\n<ul>\n<li>Serve as a trusted technical advisor to executive and senior technical stakeholders at enterprise HLS customers</li>\n</ul>\n<ul>\n<li>Provide structured product feedback informed by real-world deployment challenges and industry requirements</li>\n</ul>\n<p><strong>Requirements</strong></p>\n<ul>\n<li>Have 8+ years of experience in technical delivery, solutions engineering, or deployment roles, including people management experience</li>\n</ul>\n<ul>\n<li>Have led enterprise-scale implementations of AI, ML, or platform technologies</li>\n</ul>\n<ul>\n<li>Bring experience in healthcare or life sciences environments, including familiarity with clinical research, drug development, regulatory operations, or health system infrastructure</li>\n</ul>\n<ul>\n<li>Understand compliance frameworks such as HIPAA, GxP, and global regulatory considerations</li>\n</ul>\n<ul>\n<li>Are comfortable engaging with executive stakeholders while maintaining technical depth</li>\n</ul>\n<ul>\n<li>Enjoy operating in ambiguous, fast-moving environments and building structure where it does not yet exist</li>\n</ul>\n<ul>\n<li>Care deeply about responsible AI and its application in high-stakes domains</li>\n</ul>\n<p><strong>About OpenAI</strong></p>\n<p>OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.</p>\n<p>We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.</p>\n<p>For additional information, please see [OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement](https://cdn.openai.com/policies/eeo-policy-statement.pdf).</p>\n<p>Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to sensitive and confidential information, including but not limited to, customer data, financial information, and proprietary technology.</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a href=\"https://yubhub.co\">YubHub</a></p>","url":"https://yubhub.co/jobs/job_363bbf83-482","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://openai.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/ec911cb2-6b87-4546-9ec7-6c54a34db84d","x-work-arrangement":"hybrid","x-experience-level":"mid","x-job-type":"Full time","x-salary-range":"$251K – $335K","x-skills-required":["AI","ML","Platform Technologies","Healthcare","Life Sciences","Regulated Environments","HIPAA","GxP","FDA","EMA","Regulatory Standards","Compliance Frameworks","Clinical Research","Drug Development","Regulatory Operations","Health System Infrastructure"],"x-skills-preferred":[],"datePosted":"2026-04-24T12:19:36.049Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"AI, ML, Platform Technologies, Healthcare, Life Sciences, Regulated Environments, HIPAA, GxP, FDA, EMA, Regulatory Standards, Compliance Frameworks, Clinical Research, Drug Development, Regulatory Operations, Health System Infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":251000,"maxValue":335000,"unitText":"YEAR"}}}]}