Role Overview:
Vectara is seeking a Senior/Staff Platform Software Engineer with strong experience in backend development and modern DevOps practices. In this role, you’ll work on building and scaling the core infrastructure that powers our AI agent platform. You’ll help design robust services and scalable systems, with a focus on automation, observability, reliability, and performance.
Key Responsibilities:
- Proficiency in AI-assisted coding; able to do multiple tasks at once and manage AI agents to execute quickly and thoughtfully.
- 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 we scale our platform.
- Champion best practices in code quality, testing, and DevOps culture across the team.
Qualifications:
- 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).
Skills Required
- 5+ years of experience as a software engineer focused on backend systems and platform engineering
- Proficiency in Java and Python
- Deep experience with GCP, AWS, on-premises, or Azure computing environments
- Strong understanding of Docker and Kubernetes
- Experience with infrastructure-as-code tools such as Terraform or Pulumi
- Experience with observability tools such as Prometheus, Grafana, ELK, or EFK
- Experience working on ML platforms or supporting ML workloads in production
- Experience designing and operating distributed systems
- Familiarity with data infrastructure such as Kafka, Spark, or Airflow
- Proficiency in AI-assisted coding and managing AI agents
What We Do
Vectara is an LLM-powered Answer as a Service. The platform provides a #chatgpt like service which enables you to have a conversation with your own data. Our 100% neural natural language understanding (NLU) technology provides radical increases in semantic relevance. Instead of a list of results ala legacy keyword-based systems, we provide a direct answer to the user's input prompt. Vectara’s complete neural pipeline is available as a service through an API-first platform that allows developers to easily add semantic answer serving within their applications.
