2026-11 Senior/Staff Software Engineer
Remote • US Remote
Posted 7h ago
Job Location
US Remote
Tech Stack
Remote Work Policy
Fully remote
Categories
AI Infrastructure Engineer
About the job
Vectara is seeking a Senior/Staff Platform Software Engineer to build and scale the core infrastructure powering their AI agent platform. This role involves designing robust services and scalable systems with a focus on automation, observability, reliability, and performance. You will work on AI-assisted coding, lead code and system design reviews, and mentor team members. The position requires designing, implementing, and maintaining scalable and secure backend services, driving infrastructure automation, CI/CD, and monitoring pipelines, and collaborating with product and research teams to deploy and optimize ML/NLP workloads. You will also lead initiatives to improve system reliability and scalability, contribute to architecture decisions, and champion best practices in code quality and DevOps.
Responsibilities
- Utilize AI-assisted coding and manage AI agents for efficient task execution.
- Lead code, system design, and architecture reviews, 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 for platform scaling.
- Champion best practices in code quality, testing, and DevOps culture.
Requirements
- 5+ years of experience as a software engineer focused on backend systems and platform engineering.
- Proficiency in Java and Python.
- Deep experience with computing environments (GCP, AWS, Onprem, or Azure).
- Strong understanding of containerization and orchestration (Docker, Kubernetes).
- Experience with infrastructure-as-code (Terraform, Pulumi).
- Experience with observability tools (Prometheus, Grafana, ELK/EFK).
- 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).
Benefits
- Equity ownership in the company
- 100% paid Medical, Dental, Vision insurance from the first day
- Option of Health Savings Account (HSA) or Flexible Savings Account (FSA)
- Generous paid time off (PTO)
- Paid sick time
- Paid holidays
- Paid company rest days
- Professional development and training opportunities
- Company virtual happy hours
- Team building activities