{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/vms"},"x-facet":{"type":"skill","slug":"vms","display":"Vms","count":6},"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_db5c579b-cd5"},"title":"Global Security Operations Center Operator","description":"<p>Join the team as Twilio&#39;s next Operator, Global Security Operations Centre (GSOC) who will play a critical role in informing our overall security posture to enable a safe working environment.</p>\n<p>As a member of the Corporate Safety &amp; Security team, you&#39;ll utilise best-in-class technology to identify potential business disruptions as early as possible and streamline critical emergency response and notification to minimise impact to our people, assets, operations, or brand reputation.</p>\n<p>This position is needed to maintain a broad situational awareness over internal and external physical events that could impact employee safety or pose a threat to business assets or operations across Twilio&#39;s global footprint.</p>\n<p>GSOC Operators monitor a variety of data sources including internal access control systems, external incident aggregators, travel safety applications, and general open source reporting materials.</p>\n<p>GSOC Operators serve as the primary contact for employees with physical safety and security questions or concerns.</p>\n<p>When an incident occurs, the GSOC Operator may dispatch security resources, escalate to crisis management teams, send broad communications to Twilio employees, or execute a mass notification to account for employee safety.</p>\n<p>Responsibilities:</p>\n<p>Monitoring and Surveillance - Utilise various physical security asset monitoring and surveillance systems to detect potential unauthorized access, suspicious activity, or other security incidents</p>\n<p>Monitor open-source threat intelligence and other internal SaaS tools to maintain situational awareness of persistent or emergency global events with potential or direct impact to operations</p>\n<p>Security Operations Support - Support access control and visitor management processes</p>\n<p>Manage security-related calls for service and provide general guidance to employees, vendors, and guests</p>\n<p>Maintain awareness of business travellers and personnel accessing Twilio facilities</p>\n<p>Partner with local site security teams to escalate and dispatch resources for incident and alarm response</p>\n<p>Review travel requests to elevated risk locations, assist travellers through the approval process, and cross-reference live itineraries with external incidents</p>\n<p>Incident Management - Perform the first point of incident intake across a variety of emergencies, including medical emergencies, natural disasters, fire/evacuation, travel disruptions, and security incidents</p>\n<p>Assess and triage events and incidents to determine their impact to operations</p>\n<p>Dispatch and coordinate response with emergency response personnel</p>\n<p>Communicate effectively on emerging incidents to large audiences to share situational awareness or tactical updates as warranted</p>\n<p>Maintain real-time incident documentation for reporting and analysis</p>\n<p>Perform Life-Safety checks for Twilio in areas impacted by potentially life-threatening conditions</p>\n<p>Participate in post-incident reviews to document and implement corrective action and improvements to future response</p>\n<p>Operational Excellence - Maintain a strong understanding of security and emergency standard operating procedures</p>\n<p>Utilise critical thinking and problem-solving skills to analyse situations and implement solutions</p>\n<p>Support large projects that will improve Twilio&#39;s GSOC capabilities and initiatives</p>\n<p>Qualifications:</p>\n<ul>\n<li>3+ years of experience in a GSOC working environment</li>\n</ul>\n<ul>\n<li>Experience with physical safety and security technology, systems (ACS, IDS, VSS, VMS), travel safety, and mass notification tools</li>\n</ul>\n<ul>\n<li>Experience with open-source intelligence (OSINT) research tools</li>\n</ul>\n<ul>\n<li>Strong critical thinking and problem-solving skills</li>\n</ul>\n<ul>\n<li>Proven ability to follow standard operating procedures and playbooks</li>\n</ul>\n<ul>\n<li>Ability to prioritise tasks in a fast-paced environment</li>\n</ul>\n<ul>\n<li>Ability to stay calm, professional, and think clearly in high-stress situations</li>\n</ul>\n<ul>\n<li>Ability to communicate clearly and concisely; verbal and written</li>\n</ul>\n<ul>\n<li>Ability to work &#39;non-standard&#39; shift hours, to overlap as needed with colleagues and stakeholders in other global locations, including weekend and holiday hours</li>\n</ul>\n<ul>\n<li>English Language Proficiency</li>\n</ul>\n<p>Desired:</p>\n<ul>\n<li>Customer service mindset</li>\n</ul>\n<ul>\n<li>Comfortable with a high-tech work environment</li>\n</ul>\n<ul>\n<li>Eager to learn new tools and processes</li>\n</ul>\n<ul>\n<li>Ability to work independently and as part of a team</li>\n</ul>\n<ul>\n<li>Proficiency in Google Suite</li>\n</ul>\n<p>Additional Language Proficiency</p>\n<p>Shift Details: Variable (8–10-hour shifts)</p>\n<p>Must be flexible to work holidays, weekends, and occasional overtime.</p>\n<p>Travel: Approximately 10% travel is anticipated to help you participate in project or team in-person meetings to help you connect in a meaningful way.</p>\n<p>What We Offer:</p>\n<p>Working at Twilio offers many benefits, including competitive pay, generous time off, ample parental and wellness leave, healthcare, a retirement savings programme, and much more. Offerings vary by location.</p>\n<p>Compensation:</p>\n<ul>\n<li>Please note this role is open to candidates outside of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Washington D.C., and Washington State.</li>\n</ul>\n<p>The estimated pay ranges for this role are as follows:</p>\n<ul>\n<li>Based in Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, Vermont or Washington D.C.: $26.27 - $32.84</li>\n</ul>\n<ul>\n<li>Based in New York, New Jersey, Washington State, or California (outside of the San Francisco Bay area): $27.77 - $34.71</li>\n</ul>\n<ul>\n<li>Based in the San Francisco Bay area, California: $30.85 - $38.56</li>\n</ul>\n<ul>\n<li>This role may be eligible to participate in Twilio&#39;s equity plan and corporate bonus plan.</li>\n</ul>\n<p>All roles are generally eligible for the following benefits: health care insurance, 401(k) retirement account, paid sick time, paid personal time off, paid parental leave.</p>\n<p>The successful candidate&#39;s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.</p>\n<p>Applications for this role are intended to be accepted until November 15 but may change based on business needs.</p>\n<p>Twilio thinks big. Do you? We like to solve problems, take initiative, pitch in when needed, and are always up for trying new things. That&#39;s why we seek out colleagues who embody our values , something we call Twilio Magic. Additionally, we empower employees to build positive change in their communities by supporting their volunteering and donation efforts. So, if you&#39;re ready to unleash your full potential, do your best work, and be the best version of yourself, apply now!</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_db5c579b-cd5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Twilio","sameAs":"https://www.twilio.com/","logo":"https://logos.yubhub.co/twilio.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/twilio/jobs/7808464","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["physical safety and security technology","systems (ACS, IDS, VSS, VMS)","travel safety","mass notification tools","open-source intelligence (OSINT) research tools","critical thinking and problem-solving skills","standard operating procedures and playbooks","English Language Proficiency"],"x-skills-preferred":["customer service mindset","comfortable with a high-tech work environment","eager to learn new tools and processes","ability to work independently and as part of a team","proficiency in Google Suite"],"datePosted":"2026-04-18T15:57:27.066Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Remote - US"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Security","industry":"Technology","skills":"physical safety and security technology, systems (ACS, IDS, VSS, VMS), travel safety, mass notification tools, open-source intelligence (OSINT) research tools, critical thinking and problem-solving skills, standard operating procedures and playbooks, English Language Proficiency, customer service mindset, comfortable with a high-tech work environment, eager to learn new tools and processes, ability to work independently and as part of a team, proficiency in Google Suite"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d3e1d786-283"},"title":"Principal Software Engineer II (Performance Team) - Elasticsearch","description":"<p>We are seeking a Principal Software Engineer II to join our Elasticsearch Performance Engineering area. This role will set the technical direction for our automated benchmarking tools. You&#39;ll define methodologies, architecture and design for testing Elasticsearch ingest and search workloads at cloud scale, including identifying performance regressions.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Design and building of tooling and automated processes for provisioning and execution of Elasticsearch performance benchmarking jobs at scale.</li>\n<li>Defining methodologies and guidelines for performance benchmarking servicing development teams and solution architects.</li>\n<li>Play a lead role in cross-functional team efforts and engagements.</li>\n<li>Mentoring and advising team members on proposed technical solutions.</li>\n<li>Developing reporting for and interpreting of benchmarking results.</li>\n<li>Investigate and assist in resolving performance escalations and capacity planning issues.</li>\n<li>Address and devise solutions for benchmarking disparate use cases and workloads.</li>\n</ul>\n<p>Requirements include:</p>\n<ul>\n<li>Software development experience with Python and Linux shell required (Expert Level).</li>\n<li>Familiarity with Linux system-level performance measurement and associated tooling.</li>\n<li>Prior experience in the troubleshooting and root cause analysis of performance issues in complex distributed architectures.</li>\n<li>Prior experience with CI/CD pipelines and automating process workflows.</li>\n<li>Experience in cloud architectures, service models, and operating across multiple cloud service providers, assessing tradeoffs from both performance and deployment perspectives.</li>\n<li>Ability to multitask, effectively manage your time, and collaborate with team members globally across time zones.</li>\n<li>Familiarity with measuring performance and sizing in Linux VM and container environments.</li>\n<li>Experience with performance tuning of Java applications and JVMs.</li>\n</ul>\n<p>Bonus points for prior experience with large, distributed search engines and in developing and tuning queries, familiarity with the Elasticsearch Query API and building Kibana dashboards, cloud orchestration with Kubernetes, and experience applying the use of Artificial Intelligence (AI) for devising and expanding benchmarking practices and enhancing benchmarking tooling.</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_d3e1d786-283","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7590700","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$219,700-$291,600 USD","x-skills-required":["Python","Linux shell","Linux system-level performance measurement","CI/CD pipelines","Cloud architectures","Service models","Multitasking","Time management","Collaboration","Performance measurement","Sizing in Linux VM and container environments","Java applications","JVMs"],"x-skills-preferred":["Large, distributed search engines","Query development and tuning","Elasticsearch Query API","Kibana dashboards","Cloud orchestration with Kubernetes","Artificial Intelligence (AI) for benchmarking practices"],"datePosted":"2026-04-18T15:47:13.668Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Python, Linux shell, Linux system-level performance measurement, CI/CD pipelines, Cloud architectures, Service models, Multitasking, Time management, Collaboration, Performance measurement, Sizing in Linux VM and container environments, Java applications, JVMs, Large, distributed search engines, Query development and tuning, Elasticsearch Query API, Kibana dashboards, Cloud orchestration with Kubernetes, Artificial Intelligence (AI) for benchmarking practices","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":219700,"maxValue":291600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_8a68e8bd-dd5"},"title":"Consulting Architect - Observability","description":"<p>As a Consulting Architect – Observability, you will play a pivotal role in helping our customers realise the value of Elastic’s Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience.</p>\n<p>You will translate business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack. You will lead end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation. You will partner with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.</p>\n<p>You will provide technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles. You will collaborate cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement. You will capture and share best practices, lessons learned, and solution patterns across the Elastic Services community.</p>\n<p>You will guide customers in using Elastic Agents, Beats, Logstash time-series data ingestion, stream processing, and normalisation, and related technologies. You will design and implement custom dashboards, visualisations, and alerting for critical observability use cases in Kibana. You will optimise ingestion pipelines for performance, scalability, and resiliency at enterprise scale.</p>\n<p>You will have 5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains. You will have strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash. You will have knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.</p>\n<p>You will have understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs. You will have experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code. You will have familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.</p>\n<p>You will have proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale. You will have hands-on expertise in distributed systems and large-scale infrastructure. You will have ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.</p>\n<p>You will have experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene. You will have strong communication and presentation skills, with experience engaging directly with customers. You will have a Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.</p>\n<p>You will be comfortable working in highly distributed teams, both remote and on-site when needed. You may require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.</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_8a68e8bd-dd5","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7763314","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$133,100-$210,600 USD","x-skills-required":["observability","monitoring","time-series data ingestion","processing","pipelines","Elastic Agents","Beats","Logstash","messaging queues","Kafka","Redis","ingestion optimisation strategies","distributed tracing","metrics pipelines","log aggregation","anomaly detection","SLOs/SLIs","Kubernetes","cloud platforms","infrastructure as code","Elastic Common Schema","data parsing","normalisation","databases","Docker","VMs","Lucene"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:41:11.094Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"United States"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"observability, monitoring, time-series data ingestion, processing, pipelines, Elastic Agents, Beats, Logstash, messaging queues, Kafka, Redis, ingestion optimisation strategies, distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs, Kubernetes, cloud platforms, infrastructure as code, Elastic Common Schema, data parsing, normalisation, databases, Docker, VMs, Lucene","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":133100,"maxValue":210600,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_396fe53d-121"},"title":"Consulting Architect - Observability","description":"<p>As a Consulting Architect – Observability, you will play a pivotal role in helping our customers realise the value of Elastic’s Solutions. Acting as a trusted technical advisor, you will work with enterprises to design, deliver, and scale architectures that improve application performance, infrastructure visibility, and end-user experience.</p>\n<p>You&#39;ll collaborate with Elastic’s Professional Services, Engineering, Product, and Sales teams to accelerate adoption of the Elastic Observability platform, ensuring customers maximise the value of their data while achieving business outcomes. This is a highly impactful role, with opportunities to guide strategy, lead complex implementations, and mentor both customers and teammates.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Translating business and technical requirements into scalable, outcome-driven solutions built on the Elastic Stack.</li>\n<li>Leading end-to-end delivery of customer engagements , from discovery and design through implementation, enablement, and optimisation.</li>\n<li>Partnering with customers to architect, deploy, and operationalise Elastic solutions that drive measurable value and adoption.</li>\n<li>Providing technical oversight, guidance, and enablement to customers and teammates throughout project lifecycles.</li>\n<li>Collaborating cross-functionally with Sales, Product, Engineering, and Support to ensure successful outcomes and continuous improvement.</li>\n<li>Capturing and sharing best practices, lessons learned, and solution patterns across the Elastic Services community.</li>\n<li>Contributing to internal enablement, mentoring, and a culture of continuous learning and collaboration</li>\n</ul>\n<p>Required skills include:</p>\n<ul>\n<li>5+ years as a consultant, architect, or engineer with expertise in observability, monitoring, or related domains.</li>\n<li>Expertise in the Telecommunications domain, especially with Mobile networks and devices.</li>\n<li>Strong experience with time-series data ingestion and processing, including pipelines with Elastic Agents, Beats, and Logstash.</li>\n<li>Knowledge of messaging queues (Kafka, Redis) and ingestion optimisation strategies.</li>\n<li>Understanding of observability concepts like distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs.</li>\n<li>Experience with one or more: Kubernetes, cloud platforms (AWS, Azure, GCP), or infrastructure as code.</li>\n<li>Familiarity with Elastic Common Schema (ECS), data parsing, and normalisation.</li>\n<li>Proven experience deploying Elastic Observability (APM, UEM, logs, metrics, infra, network monitoring) or similar solutions at enterprise scale.</li>\n<li>Hands-on expertise in distributed systems and large-scale infrastructure.</li>\n<li>Ability to design and build dashboards, visualisations, and alerting thresholds that drive actionable insights.</li>\n<li>Experience with Kubernetes, Linux, Java, databases, Docker, AWS/Azure/GCP, VMs, Lucene.</li>\n<li>Strong communication and presentation skills, with experience engaging directly with customers.</li>\n<li>Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field, or equivalent experience.</li>\n<li>Comfortable working in highly distributed teams, both remote and on-site when needed.</li>\n<li>May require significant travel to customer sites to support engagements and solution implementations; candidates should be comfortable with varying levels of travel based on business needs.</li>\n</ul>\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_396fe53d-121","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Elastic","sameAs":"https://www.elastic.co/","logo":"https://logos.yubhub.co/elastic.co.png"},"x-apply-url":"https://job-boards.greenhouse.io/elastic/jobs/7440232","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["observability","monitoring","Elastic Stack","time-series data ingestion","Elastic Agents","Beats","Logstash","messaging queues","Kafka","Redis","distributed tracing","metrics pipelines","log aggregation","anomaly detection","SLOs/SLIs","Kubernetes","cloud platforms","infrastructure as code","Elastic Common Schema","data parsing","normalisation","databases","Docker","VMs","Lucene"],"x-skills-preferred":[],"datePosted":"2026-04-18T15:40:26.428Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Tokyo, Japan"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"observability, monitoring, Elastic Stack, time-series data ingestion, Elastic Agents, Beats, Logstash, messaging queues, Kafka, Redis, distributed tracing, metrics pipelines, log aggregation, anomaly detection, SLOs/SLIs, Kubernetes, cloud platforms, infrastructure as code, Elastic Common Schema, data parsing, normalisation, databases, Docker, VMs, Lucene"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_4396bfcf-940"},"title":"Software Engineer, Sandboxing","description":"<p><strong>About Anthropic</strong></p>\n<p>Anthropic&#39;s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.</p>\n<p><strong>About the Role</strong></p>\n<p>Anthropic&#39;s sandboxing infrastructure enables Claude to safely execute code and interact with external systems. As we expand Claude&#39;s capabilities, the reliability, security, and developer experience of this infrastructure becomes increasingly critical. We&#39;re looking for an engineer to join the sandboxing team and help shape both the client-side library/API and the underlying infrastructure.</p>\n<p>In this role, you&#39;ll combine deep infrastructure expertise with an obsession for developer experience. You&#39;ll help maintain and evolve a system that must be correct, performant, and intuitive to use. You&#39;ll work closely with internal teams to understand their needs, burn down errors and edge cases, and build a roadmap that anticipates where the product needs to go. This is a role for someone who finds satisfaction in both the craft of building reliable systems and the empathy required to serve developers and researchers well.</p>\n<p><strong>Responsibilities</strong></p>\n<ul>\n<li>Contribute to the client library, API surface, and underlying infrastructure for Anthropic&#39;s sandboxing system, ensuring it is reliable, well-documented, and intuitive to use</li>\n</ul>\n<ul>\n<li>Drive down error rates and improve correctness through systematic debugging, monitoring, and proactive fixes</li>\n</ul>\n<ul>\n<li>Help develop and maintain a product roadmap for sandboxing capabilities, balancing immediate needs with long-term architectural improvements</li>\n</ul>\n<ul>\n<li>Partner closely with internal teams using the sandboxing system to understand their requirements, debug issues, and build tooling that serves their use cases</li>\n</ul>\n<ul>\n<li>Respond to incidents and production issues with urgency, conducting thorough root cause analysis and implementing preventive measures</li>\n</ul>\n<ul>\n<li>Build comprehensive testing, observability, and documentation to ensure the system meets a high quality bar</li>\n</ul>\n<ul>\n<li>Collaborate across the sandboxing team, flexing between client-side and infrastructure work as needed</li>\n</ul>\n<p><strong>You May Be a Good Fit If You</strong></p>\n<ul>\n<li>Have 5+ years of software engineering experience, with meaningful time spent maintaining libraries, SDKs, or developer-facing APIs</li>\n</ul>\n<ul>\n<li>Obsess over developer experience—you&#39;ve thought deeply about API design, error propagation, documentation, and the small details that make a library feel well-crafted</li>\n</ul>\n<ul>\n<li>Have experience operating complex distributed systems</li>\n</ul>\n<ul>\n<li>Bring a track record of systematically improving reliability—you&#39;ve burned down error budgets, built monitoring, and driven issues to resolution</li>\n</ul>\n<ul>\n<li>Can develop and articulate a long-term vision for a product, translating user feedback and technical constraints into a coherent roadmap</li>\n</ul>\n<ul>\n<li>Are comfortable with ambiguity and can context-switch between reactive incident work and proactive product development</li>\n</ul>\n<ul>\n<li>Communicate clearly with both technical and non-technical stakeholders</li>\n</ul>\n<p><strong>Strong Candidates May Also Have</strong></p>\n<ul>\n<li>Experience as a founder or early engineer at an infrastructure-focused startup, where you owned a product end-to-end</li>\n</ul>\n<ul>\n<li>Background in security, sandboxing, or isolation technologies (containers, VMs, seccomp, namespaces, etc.)</li>\n</ul>\n<ul>\n<li>Open-source contributions in the Python ecosystem</li>\n</ul>\n<ul>\n<li>Experience building developer tools, CLIs, or platforms used by other engineers</li>\n</ul>\n<ul>\n<li>History of working on incident response and on-call rotations for production systems</li>\n</ul>\n<ul>\n<li>Exposure to reinforcement learning or model training infrastructure</li>\n</ul>\n<p><strong>Representative Projects</strong></p>\n<p>These are examples of past work that would indicate a good fit—not a description of the role itself:</p>\n<ul>\n<li>Maintaining an open source SDK through multiple major version upgrades while minimizing breaking changes for users</li>\n</ul>\n<ul>\n<li>Leading an initiative to reduce P0 incidents by XX% through improved error handling, retries, and observability</li>\n</ul>\n<ul>\n<li>Building a developer platform at a startup from zero to product-market fit, iterating based on user feedback</li>\n</ul>\n<ul>\n<li>Embedding with an internal team for a quarter to deeply understand their workflows and shipping targeted improvements to a piece of infrastructure they rely on</li>\n</ul>\n<ul>\n<li>Developing a multi-quarter roadmap for a developer tools product, balancing user requests with technical debt reduction</li>\n</ul>\n<p><strong>Logistics</strong></p>\n<p><strong>Education requirements:</strong> We require at least a Bachelor&#39;s degree in a related field or equivalent experience. <strong>Location-based hybrid policy:</strong> Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.</p>\n<p><strong>Visa sponsorship:</strong> We do sponsor visas! However, we aren&#39;t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.</p>\n<p><strong>We encourage you to apply even if you do not believe you meet every single qualification.</strong> Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you&#39;re interested in this work. We think AI systems like the ones we&#39;re building can have a huge impact on society, and we want to make sure that the people building them are representative of the people they&#39;ll be serving.</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_4396bfcf-940","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Anthropic","sameAs":"https://job-boards.greenhouse.io","logo":"https://logos.yubhub.co/anthropic.com.png"},"x-apply-url":"https://job-boards.greenhouse.io/anthropic/jobs/5083039008","x-work-arrangement":"hybrid","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$300,000 - $405,000USD","x-skills-required":["software engineering","API design","error propagation","documentation","complex distributed systems","reliability","observability","testing","security","sandboxing","isolation technologies","containers","VMs","seccomp","namespaces","Python ecosystem","developer tools","CLIs","platforms","incident response","on-call rotations","reinforcement learning","model training infrastructure"],"x-skills-preferred":["founder","early engineer","infrastructure-focused startup","open-source contributions","developer platform","product-market fit","user feedback","incident response","on-call rotations","reinforcement learning","model training infrastructure"],"datePosted":"2026-03-08T14:03:30.986Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco, CA | New York City, NY"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"software engineering, API design, error propagation, documentation, complex distributed systems, reliability, observability, testing, security, sandboxing, isolation technologies, containers, VMs, seccomp, namespaces, Python ecosystem, developer tools, CLIs, platforms, incident response, on-call rotations, reinforcement learning, model training infrastructure, founder, early engineer, infrastructure-focused startup, open-source contributions, developer platform, product-market fit, user feedback, incident response, on-call rotations, reinforcement learning, model training infrastructure","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":300000,"maxValue":405000,"unitText":"YEAR"}}},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_d5390946-539"},"title":"Software Engineer, Model Inference","description":"<p><strong>Software Engineer, Model Inference</strong></p>\n<p><strong>Location</strong></p>\n<p>San Francisco</p>\n<p><strong>Employment Type</strong></p>\n<p>Full time</p>\n<p><strong>Department</strong></p>\n<p>Scaling</p>\n<p><strong>Compensation</strong></p>\n<ul>\n<li>$295K – $555K • 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<p><strong>Benefits</strong></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>Our Inference team brings OpenAI’s most capable research and technology to the world through our products. We empower consumers, enterprise and developers alike to use and access our start-of-the-art AI models, allowing them to do things that they’ve never been able to before. We focus on performant and efficient model inference, as well as accelerating research progression via model inference.</p>\n<p><strong>About the Role</strong></p>\n<p>We are looking for an engineer who wants to take the world&#39;s largest and most capable AI models and optimize them for use in a high-volume, low-latency, and high-availability production and research environment.</p>\n<p><strong>In this role, you will:</strong></p>\n<ul>\n<li>Work alongside machine learning researchers, engineers, and product managers to bring our latest technologies into production.</li>\n</ul>\n<ul>\n<li>Work alongside researchers to enable advanced research through awesome engineering.</li>\n</ul>\n<ul>\n<li>Introduce new techniques, tools, and architecture that improve the performance, latency, throughput, and efficiency of our model inference stack.</li>\n</ul>\n<ul>\n<li>Build tools to give us visibility into our bottlenecks and sources of instability and then design and implement solutions to address the highest priority issues.</li>\n</ul>\n<ul>\n<li>Optimize our code and fleet of Azure VMs to utilize every FLOP and every GB of GPU RAM of our hardware.</li>\n</ul>\n<p><strong>You might thrive in this role if you:</strong></p>\n<ul>\n<li>Have an understanding of modern ML architectures and an intuition for how to optimize their performance, particularly for inference.</li>\n</ul>\n<ul>\n<li>Own problems end-to-end, and are willing to pick up whatever knowledge you&#39;re missing to get the job done.</li>\n</ul>\n<ul>\n<li>Have at least 5 years of professional software engineering experience.</li>\n</ul>\n<ul>\n<li>Have or can quickly gain familiarity with PyTorch, NVidia GPUs and the software stacks that optimize them (e.g. NCCL, CUDA), as well as HPC technologies such as InfiniBand, MPI, NVLink, etc.</li>\n</ul>\n<ul>\n<li>Have experience architecting, building, observing, and debugging production distributed systems. Bonus point if worked on performance-critical distributed systems.</li>\n</ul>\n<ul>\n<li>Have needed to rebuild or substantially refactor production systems several times over due to rapidly increasing scale.</li>\n</ul>\n<ul>\n<li>Are self-directed and enjoy figuring out the most important problem to work on.</li>\n</ul>\n<ul>\n<li>Have a humble attitude, an eagerness to help your colleagues, and a desire to do whatever it takes to make the team succeed.</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 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_d5390946-539","directApply":true,"hiringOrganization":{"@type":"Organization","name":"OpenAI","sameAs":"https://jobs.ashbyhq.com","logo":"https://logos.yubhub.co/openai.com.png"},"x-apply-url":"https://jobs.ashbyhq.com/openai/83b6755d-7785-4186-9050-5ef3ad127941","x-work-arrangement":"onsite","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":"$295K – $555K • Offers Equity","x-skills-required":["PyTorch","NVidia GPUs","NCCL","CUDA","HPC technologies","InfiniBand","MPI","NVLink","Azure VMs","GPU RAM","FLOP"],"x-skills-preferred":["modern ML architectures","intuition for optimizing performance","distributed systems","performance-critical distributed systems"],"datePosted":"2026-03-06T18:31:29.482Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"PyTorch, NVidia GPUs, NCCL, CUDA, HPC technologies, InfiniBand, MPI, NVLink, Azure VMs, GPU RAM, FLOP, modern ML architectures, intuition for optimizing performance, distributed systems, performance-critical distributed systems","baseSalary":{"@type":"MonetaryAmount","currency":"USD","value":{"@type":"QuantitativeValue","minValue":295000,"maxValue":555000,"unitText":"YEAR"}}}]}