{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/data-isolation"},"x-facet":{"type":"skill","slug":"data-isolation","display":"Data Isolation","count":1},"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_5717691a-508"},"title":"Staff Infrastructure Software Engineer, Enterprise AI","description":"<p>We are looking for a Staff Infrastructure Software Engineer to act as a primary technical lead, engineering the &#39;paved road&#39; for our knowledge retrieval and inference engines. You will define the deployment standards for Agentic workflows at scale, bridging the gap between complex AI orchestration and world-class infrastructure.</p>\n<p>The ideal candidate thrives in a fast-paced environment, has a passion for both deep technical work and mentoring, and is capable of setting a long-term technical strategy for a critical domain while maintaining a strong, hands-on delivery focus.</p>\n<p>You will architect and implement solutions across multiple cloud providers (GCP, Azure, AWS) for customers in diverse, highly-regulated industries like healthcare, telecom, finance, and retail.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Architecting multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.</li>\n<li>Using our own data and AI platform to analyse build and test logs and metrics to identify areas for improvement.</li>\n<li>Defining the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.</li>\n<li>Enhancing engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.</li>\n<li>Collaborating with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.</li>\n<li>Designing and championing highly scalable, reliable, and low-latency infrastructure and frameworks for building, orchestrating, and evaluating multi-agent systems at enterprise scale.</li>\n<li>Leading the infrastructure roadmap with a strong focus on compliance, privacy, and security standards, including designing change management and data isolation strategies.</li>\n<li>Owning the development and maintenance of our best-in-class Agentic observability platform (logging, metrics, tracing, and analytics) to proactively ensure system health and enable rapid incident response.</li>\n<li>Driving developer efficiency by building automated tooling and championing Infrastructure-as-Code (IaC) paradigms throughout the engineering organization to improve workflows and operational efficiency.</li>\n</ul>\n<p>The ideal candidate has proven experience in a senior role, with 5+ years of full-time software engineering experience, and a deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms (e.g., Datadog, Prometheus, Grafana).</p>\n<p>Extensive experience with at least one major cloud provider (AWS, Azure, or GCP) and strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups is required.</p>\n<p>Proficiency in Python or JavaScript/TypeScript, and SQL is also necessary.</p>\n<p>Bonus points for hands-on experience and a passion for working with Agents, LLMs, vector databases, and other emerging AI technologies.</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_5717691a-508","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Scale","sameAs":"https://scale.com/","logo":"https://logos.yubhub.co/scale.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/scaleai/jobs/4599700005","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$216,200-$310,500 USD","x-skills-required":["Cloud computing","Infrastructure as Code","Container orchestration","Observability platforms","Security and compliance","Access management","Data isolation","Customer-specific VPC setups","Python","JavaScript/TypeScript","SQL"],"x-skills-preferred":["Agents","LLMs","Vector databases","Emerging AI technologies"],"datePosted":"2026-04-18T15:58:05.354Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"New York, NY; San Francisco, CA"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Cloud computing, Infrastructure as Code, Container orchestration, Observability platforms, Security and compliance, Access management, Data isolation, Customer-specific VPC setups, Python, JavaScript/TypeScript, SQL, Agents, LLMs, Vector databases, Emerging AI technologies","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":216200,"maxValue":310500,"unitText":"YEAR"}}}]}