--- title: 'Platform Engineer at Vectara' canonical: 'https://feeny.ai/job/platform-engineer-vectara-united-states-mhg1vs3ss9gp' type: 'job' last_seen: '2026-11-05' --- # Platform Engineer at Vectara - **Company:** Vectara - **Location:** United States - **Work type:** remote - **Posted:** 2026-03-25 - **Last confirmed live:** 2026-11-05 - **Apply:** https://job-boards.greenhouse.io/vectara/jobs/5165682008 ## Job description Platform Engineer Vectara is the Enterprise Agent Platform that enables businesses to build and deploy governed, grounded, auditable AI agents across SaaS, VPC, and on-prem. We have developed our own models, observability and orchestration layers, guardrails, and context management systems in order to provide our customers with the greatest levels of AI agent accuracy, security, and explainability. Our founding members include industry veterans and experts in neural information retrieval and distributed systems from Google. We’re a passionate team that’s hyper-focused on solving enterprise-level technology and business problems with AI. Join us! ## The Role You'll own the infrastructure that runs our deploy anywhere platform — from Kubernetes clusters serving ML inference at scale to the CI/CD pipelines, IaC, and observability stack that keep it all reliable. This is a hands-on role: you'll write Helm charts and Terraform one day, debug a Kafka consumer lag issue the next, and ship a backend service feature the day after. You'll deploy across AWS, GCP, and on-premises (including air-gapped environments), and you'll participate in an on-call rotation supporting enterprise customers. ## What You’ll Do - Build and maintain infrastructure-as-code (Terraform, Helm) for our AWS EKS and GCP GKE clusters, plus on-premises deployments (including Tanzu and air-gapped environments). - Own CI/CD pipelines (GitHub Actions, Bazel, ArgoCD) and drive GitOps adoption. - Deploy, scale, and optimize ML/NLP inference workloads (vLLM, PyTorch, GPU scheduling with various Kubernetes scalers). - Build and improve observability: Prometheus, Grafana, Datadog,, and OpenTelemetry. - Collaborate with Field Engineering to support PoCs and platform deployments in customer cloud VPCs and on-prem environments. - Contribute to backend services (Java 21, Python, gRPC) and platform features. - Improve system reliability, scalability, and developer experience across the engineering org. What You’ll Bring (Required): - 5+ years in platform engineering, DevOps, SRE, or backend infrastructure roles. - Strong Kubernetes experience (deployment, debugging, scaling — not just `kubectl apply`). - Hands-on with infrastructure-as-code: Terraform, Helm, or Pulumi. - Experience with at least one major cloud provider (AWS preferred; GCP or Azure also valued). - Proficiency in one or more of: Go, Python, Java. Comfortable reading and contributing to backend codebases. - Working knowledge of CI/CD systems (GitHub Actions, Bazel, ArgoCD, or similar). - Solid fundamentals in Linux, networking, and distributed systems. What Sets You Apart (Preferred) - Experience deploying or operating ML inference workloads (model serving, GPU scheduling, vLLM, TensorFlow Serving, or similar). - Familiarity with streaming/messaging systems (Kafka, Pulsar) and data stores (MariaDB/PostgreSQL, Aerospike, ClickHouse, OpenSearch). - Experience with GitOps workflows (ArgoCD, Flux). - Exposure to air-gapped or on-premises Kubernetes deployments. - Background in observability tooling (Prometheus, Grafana, OpenTelemetry, Datadog). - Experience providing technical support or working directly with enterprise customers on infrastructure issues. - Comfort with AI-assisted development workflows and managing AI coding agents. Location requirements: We support remote applicants from all over the US but candidates who can come to the office 2-3 days a week in our Palo Alto office are preferred. Perks and Benefits: 100% paid Medical, Dental, Vision for employees.  Option of Health Savings Account (HSA) or Flexible Savings Account (FSA). Generous paid time off (PTO) plus paid sick time and holidays. Professional development and training opportunities. Company virtual happy hours and fun team building activities and more. Salary is just one component of Vectara’s employee compensation. Our full-time employees are also equity owners in the company, which although not an immediate cash component, can have positive impacts on long-term total compensation for each participating employee. We would be remiss if we didn’t highlight and celebrate our focus on engaging many of our employees in being economic co-owners of the business. Vectara welcomes all. We value the collective wisdom of people from different backgrounds, experiences, abilities and perspectives.  We never discriminate on the basis of race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. Vectara has a positive and supportive culture—we look for people who are inventive and work to be a little better every single day. We seek to be smart, humble, hardworking and, above all, curious. After all, we are on a mission to find meaning. ## About Vectara ## Company Overview - **One-liner**: Vectara provides an enterprise-grade platform for building AI agents and assistants powered by Retrieval Augmented Generation (RAG), enabling organizations to find meaning in their data with high accuracy and security. - **Entity Type**: Private (Series A) - **Headquarters**: Palo Alto, California, USA - **Founded**: 2022 - **Founders**: Dr. Tallat Shafaat (CEO) ## Core Business - **Primary industry**: Enterprise AI / Generative AI Platform - **Target customers**: B2B, Enterprise (serves sectors including telecommunications, education, manufacturing, financial services, legal, and healthcare) - **Mission statement**: "To help the world find meaning" in vast data using generative AI. ## Products & Services - **Vectara Enterprise Agent Platform**: A platform for building and deploying AI agents that are grounded in enterprise data. Key features include: - **Context Accuracy**: Advanced context-engineering for retrieval, supporting multimodal data (text, tables, images). - **Policy-Led Enforcement**: Always-on governance to detect and correct hallucinations, enforce brand and compliance policies at runtime. - **Operate Your Way**: Deployable as SaaS, in a customer-managed VPC, or on-premise. Model-agnostic (BYOM) and fully hosted. - **Failure Analysis**: Tools for observability into real-world AI behavior. ## Market Standing - **Valuation/Market Cap**: Not publicly available - **Total Funding**: $73.5M (Series A, as of latest round) - **Last Funding Round**: $25M raised 2 years ago (approximately 2024) - **Key Investors**: Race Capital (lead, General Partner Alfred Chuang on board), Samsung NEXT, Fusion Fund, WVV Capital, Alumni Ventures, FPV Ventures (Managing Partner Pegah Ebrahimi on board), and 18+ others. - **Key Customers**: IEEE, Texas Instruments, SonoSim, Anywhere.re - **Growth Signals**: Recognized in five Gartner Hype Cycles™ for 2026; reported ability to increase support deflection from 33% to 95% for customers; scale from 3 to 300 agentic applications in less than a year. - **Competitors**: Hebbia, Pryon, Perplexity, LangChain, Jina. ## Competitive Advantages - **RAG Pioneer**: Pioneered enterprise-grade Retrieval Augmented Generation (RAG) with industry-leading models for retrieval, generation, and hallucination detection. - **Best-in-Industry Accuracy**: Optimized for highly accurate AI agents, reducing hallucinations. - **Enterprise-Grade Security & Compliance**: SOC 2 Type 2 certified and HIPAA compliant, with multiple deployment models (Cloud, VPC, On-Prem) to meet strict data control requirements. - **Model Agnostic**: Allows enterprises to bring their own model (BYOM), avoiding vendor lock-in. - **Developer Focus**: Offers testing tools, APIs, and open-source libraries designed for a great developer experience. ## Strategic Focus - **Scaling Enterprise Adoption**: Moving customers from pilot to production at enterprise scale, supporting growth across multiple use cases without re-engineering. - **Agentic AI**: Focused on enabling enterprises to build and deploy AI agents for mission-critical applications. - **Precision and Reliability**: Continuously innovating to push generative AI technology to new heights of precision and reliability, with a strong emphasis on governance and observability. ## Why Work Here - **Culture & Values**: Emphasizes a collaborative, open, and accountable culture ("One Team"). Values nimbleness, customer focus, and continuous improvement ("If an idea doesn’t work, we learn from it and keep moving"). - **Global & Remote-Friendly**: Team of 50+ "Vectarans" worldwide. Offers flexible working hours and minimal meeting Fridays. US-based roles are remote (Bay Area preferred for some). Also has a role based in Pakistan. - **Comprehensive Benefits**: Includes comprehensive medical insurance, life & disability insurance, unlimited vacation, maternity/paternity leave, bereavement leave, annual global summit, monthly phone/internet stipend, home office stipend for remote employees, free snacks and beverages at HQ, and free gym access at HQ. - **Diversity & Inclusion**: Actively values diversity and attracts talented individuals from all backgrounds, with a focus on fair compensation based on job level and location. - **Engineering Culture**: Described as a "developer’s dream" with a focus on building fun-to-use testing tools, APIs, and open-source libraries. Roles include Platform Engineering, ML Engineering, and Software Engineering. ## Sources 1. [vectara.com](https://www.vectara.com/company/about-us) 2. [vectara.com](https://www.vectara.com/) 3. [greenhouse.io](http://job-boards.greenhouse.io/vectara) 4. [vectara.com](https://www.vectara.com/company/careers-and-culture) 5. 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