{"version":"0.1","company":{"name":"YubHub","url":"https://yubhub.co","jobsUrl":"https://yubhub.co/jobs/skill/vertex-ai"},"x-facet":{"type":"skill","slug":"vertex-ai","display":"Vertex AI","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_3335e005-31a"},"title":"Senior Cloud Engineer","description":"<p>We&#39;re looking for a Senior Cloud Engineer to join our team. As a Senior Cloud Engineer, you will be responsible for owning Helpshift&#39;s production services, ensuring complete monitoring coverage, troubleshooting and fixing production issues. You will also design and maintain scalable GCP infrastructure using Terraform, build deployment pipelines for AI agents, manage vector databases, and implement &#39;Security-by-Design&#39; principles.</p>\n<p>Key responsibilities include:</p>\n<ul>\n<li>Infrastructure Ownership: Ensure complete monitoring coverage, troubleshoot and fix production issues.</li>\n<li>Infrastructure as Code (IaC): Design and maintain scalable GCP infrastructure using Terraform.</li>\n<li>AI Orchestration &amp; LLMOps: Build deployment pipelines for AI agents, managing vector databases (e.g., Vertex AI Search, Pinecone, Weaviate, ElasticSearch) and model endpoints.</li>\n<li>Security (DevSecOps): Implement &#39;Security-by-Design,&#39; including IAM least-privilege access, secret management (Secret Manager), and automated vulnerability scanning for AI workloads.</li>\n<li>CI/CD Excellence: Architect high-velocity pipelines for both traditional microservices and AI model prompts/configurations.</li>\n<li>Observability: Set up comprehensive monitoring for system health and LLM-specific metrics (latency, token usage, and cost).</li>\n<li>Cloud Governance: Optimise GCP costs and manage resource quotas, especially for GPU/TPU-intensive AI tasks.</li>\n<li>Cross Cloud Deployment: Establish &amp; Optimise the connectivity among apps deployed in different cloud environments (AWS &lt; GCP)</li>\n</ul>\n<p>Requirements:</p>\n<ul>\n<li>Relevant experience of 6+ years and above</li>\n<li>Expert-level Google Cloud Platform (GCP) administration skills: GKE, Cloud Run, Vertex AI, GCS, NEG etc</li>\n<li>Experience deploying Vector Databases (Pinecone, Weaviate, ElasticSearch or Vertex Search) and managing API rate limits/throttling for LLM providers.</li>\n<li>Setting up Cloud Monitoring/Logging specifically for AI metrics: token consumption, inference latency, and model error rates.</li>\n<li>In-depth knowledge of running/managing UNIX-like operating systems (we use Ubuntu)</li>\n<li>Strong knowledge of networking protocols, security architectures, and identity and access management (IAM) principles.</li>\n<li>Experience with containerisation technologies (e.g., Docker, Kubernetes) and securing containerised environments.</li>\n<li>Proficiency in Python and Bash</li>\n<li>Experience in designing and building solutions that are highly scalable, fault tolerant and cost-effective</li>\n<li>Experience with IaaC tools like Ansible, Terraform.</li>\n<li>Ability to analyse bottlenecks in architecture and quickly debug to reach a resolution for issues</li>\n<li>Have an automation mindset and ability to reason and work with complex systems.</li>\n<li>Excellent communication and documentation skills</li>\n<li>Quick learner and good mentor for junior team members</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_3335e005-31a","directApply":true,"hiringOrganization":{"@type":"Organization","name":"Helpshift","sameAs":"https://www.helpshift.com/","logo":"https://logos.yubhub.co/helpshift.com.png"},"x-apply-url":"https://apply.workable.com/j/5C2241AE6D","x-work-arrangement":"remote","x-experience-level":"senior","x-job-type":"full-time","x-salary-range":null,"x-skills-required":["Google Cloud Platform (GCP)","Terraform","Vertex AI","Vector Databases","API rate limits/throttling","Cloud Monitoring/Logging","UNIX-like operating systems","Networking protocols","Security architectures","Identity and access management (IAM)","Containerisation technologies","Python","Bash","IaaC tools","Ansible"],"x-skills-preferred":[],"datePosted":"2026-04-24T13:06:30.939Z","jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"San Francisco"}},"jobLocationType":"TELECOMMUTE","employmentType":"FULL_TIME","occupationalCategory":"Engineering","industry":"Technology","skills":"Google Cloud Platform (GCP), Terraform, Vertex AI, Vector Databases, API rate limits/throttling, Cloud Monitoring/Logging, UNIX-like operating systems, Networking protocols, Security architectures, Identity and access management (IAM), Containerisation technologies, Python, Bash, IaaC tools, Ansible"},{"@context":"https://schema.org","@type":"JobPosting","identifier":{"@type":"PropertyValue","name":"YubHub","value":"job_7d57ab2d-f3b"},"title":"Cloud Solution Architect","description":"<p>At Ford Motor Company, we believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow&#39;s transportation.</p>\n<p>If you&#39;re looking for the chance to leverage advanced technology to redefine the transportation landscape, enhance the customer experience, and improve people&#39;s lives: this is the opportunity for you. Join us and challenge your IT expertise and analytical skills to help create vehicles that are as smart as you are.</p>\n<p>To meet the growing needs of the Customer analytics business, the team is looking for a self-motivated, technically proficient individual to craft and shepherd coherent solutions. This will require collaboration with a range of stakeholders to clarify requirements, establish pragmatic approaches, and support and articulate decisions over time. 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Proactively address vulnerabilities in distributed systems and AI models (e.g., OWASP Top 10 for LLMs).</li>\n</ul>\n<ul>\n<li>API &amp; Data Contracts: Bolster &#39;Data as a Product&#39; practices by enforcing strict API standards and data contracts to ensure seamless, secure interoperability between services.</li>\n</ul>\n<ul>\n<li>FinOps &amp; Cost Optimisation: Drive fiscal responsibility by right-sizing GCP resources and optimising Generative AI architectures (token management/model selection) to maximise ROI.</li>\n</ul>\n<ul>\n<li>SRE &amp; Performance Tuning: Apply Site Reliability Engineering principles to ensure high availability, minimise system latency, and lead root-cause analysis for complex, distributed system failures.</li>\n</ul>\n<ul>\n<li>DevSecOps &amp; Problem Solving: Integrate security automation into CI/CD pipelines to ensure &#39;Secure-by-Design&#39; deployments while solving complex architectural trade-offs between speed, scale, and risk.</li>\n</ul>\n<ul>\n<li>Continuous Learning: Stay at the forefront of AI research, specifically regarding autonomous agents, prompt engineering etc</li>\n</ul>\n<p><strong>Nice to Have</strong></p>\n<ul>\n<li>AI development tools and frameworks (e.g., LangChain, LangGraph, or Agent Dev Kit) to accelerate the delivery of intelligent applications.</li>\n</ul>\n<ul>\n<li>Agentic &amp; GenAI Design: Lead the architectural design of Agentic AI systems (multi-agent orchestration) and Generative AI solutions, including Retrieval-Augmented Generation (RAG) patterns and LLM integration.</li>\n</ul>\n<ul>\n<li>Kubernetes (GKE): Experience managing containerised workloads at scale.</li>\n</ul>\n<ul>\n<li>Kafka/Event-Driven Design: Experience with high-throughput messaging and event-driven architectures.</li>\n</ul>\n<ul>\n<li>MLOps: Familiarity with the end-to-end lifecycle of machine learning models in production.</li>\n</ul>\n<p><strong>Qualifications</strong></p>\n<p><strong>You&#39;ll have...</strong></p>\n<ul>\n<li>Requires a bachelor&#39;s or foreign equivalent degree in computer science, information technology or a technology related field</li>\n</ul>\n<ul>\n<li>5+ years of Software engineering experience using Java or Python developing services (APIs, REST, etc.)</li>\n</ul>\n<ul>\n<li>2+ years of experience with Google Cloud Platform or other cloud service provider (AWS, Azure, etc.) and associated cloud components.</li>\n</ul>\n<ul>\n<li>Experience designing/architecting and running distributed systems in a production environment</li>\n</ul>\n<ul>\n<li>STRONG communications skills and cognitive agility - ability to engage in deep technical discussions with customers and peers, become a trusted technical advisor, and maintain good documentation</li>\n</ul>\n<p><strong>Even better, you may have...</strong></p>\n<ul>\n<li>Master&#39;s degree in computer science, electrical engineering or a closely related field of study</li>\n</ul>\n<ul>\n<li>Familiarity with a breadth of programming languages, platforms, and systems</li>\n</ul>\n<ul>\n<li>Experience with asynchronous messaging and eventually consistent system design</li>\n</ul>\n<ul>\n<li>An agile, pragmatic, and empirical mindset</li>\n</ul>\n<ul>\n<li>Critical thinking, decision-making and leadership aptitudes</li>\n</ul>\n<ul>\n<li>Good organisational and problem-solving abilities</li>\n</ul>\n<ul>\n<li>MDM, Entity Resolution, Customer Analytics and Marketing Analytics experience is a huge plus.</li>\n</ul>\n<p>You may not check every box, or your experience may look a little different from what we&#39;ve outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!</p>\n<p><strong>As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all of the above? No matter what you choose, we offer a work life that works for you, including:</strong></p>\n<ul>\n<li>Immediate medical, dental, and prescription drug coverage</li>\n</ul>\n<ul>\n<li>Flexible family care, parental leave, new parent ramp-up programs, subsidised back-up child care and more</li>\n</ul>\n<ul>\n<li>Vehicle discount programme for employees and family members, and management leases</li>\n</ul>\n<ul>\n<li>Tuition assistance</li>\n</ul>\n<ul>\n<li>Established and active employee resource groups</li>\n</ul>\n<ul>\n<li>Paid time off for individual and team community service</li>\n</ul>\n<ul>\n<li>A generous schedule of paid holidays, including the week between Christmas and New Year&#39;s Day</li>\n</ul>\n<ul>\n<li>Paid time off and the option to purchase additional vacation time.</li>\n</ul>\n<p><strong>For a detailed look at our benefits, click here:</strong> Benefit Summary</p>\n<p style=\"margin-top:24px;font-size:13px;color:#666;\">XML job scraping automation by <a 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