Senior/Staff Software Engineer

🕒 Yesterday

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Vectara

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🏥 Healthcare

⚖️ Legal

💰 $28.5M Seed Round on 2023-05

Consulting • Healthcare • Legal

Vectara is an AI Agent and Assistant platform for enterprises, focusing on building and deploying Generative AI (GenAI) in mission-critical applications. The platform emphasizes best-in-industry accuracy to minimize hallucinations and offers robust security and privacy measures, including SOC-2 Type 2 compliance. Vectara provides tools for developers and business users to create AI Assistants and Agents that can perform tasks such as analyzing unstructured data, solving deployment issues, generating legal contracts, and more. The platform supports multi-language data handling and offers API-first integration, stateful chat management, and auto-scaling features. It caters to industries such as telecommunications, education, healthcare, financial services, legal services, and manufacturing, and is designed to deliver fast, accurate, and secure AI-powered solutions.

📋 Description

• Build and scale the core infrastructure powering Vectara's AI agent platform • Design robust services and scalable systems focused on automation, observability, reliability, and performance • Lead code, system design, and architecture reviews while teaching and mentoring team members • Design, implement, and maintain scalable and secure backend services and platform components • Drive infrastructure automation, CI/CD, and monitoring/alerting pipelines • Collaborate with product engineering and research teams to deploy, scale, and optimize ML/NLP workloads • Lead initiatives to improve system reliability, scalability, and developer experience • Contribute to architecture and infrastructure decisions as the platform scales • Champion best practices in code quality, testing, and DevOps culture across the team • Use AI-assisted coding, manage multiple tasks, and manage AI agents to execute work quickly and thoughtfully

🎯 Requirements

• 5+ years of experience as a software engineer with a focus on backend systems and platform engineering • Proficiency in Java and Python • Deep experience with all computing environments (GCP, AWS, Onprem, or Azure) • Strong understanding of containerization and orchestration (Docker, Kubernetes) • Experience with infrastructure-as-code (Terraform, Pulumi, etc.) • Experience with observability tools (Prometheus, Grafana, ELK/EFK, etc.) • Experience working on ML platforms or supporting ML workloads in production • Experience designing and operating distributed systems • Familiarity with data infrastructure (e.g., Kafka, Spark, Airflow)

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