Senior/Staff Platform Software Engineer
Vectara
About the role
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).
Responsibilities
- Design, build, and maintain scalable, secure backend services and platform components.
- Lead code, system design, and architecture reviews, while mentoring team members.
- Drive infrastructure automation, CI/CD, and monitoring and alerting pipelines.
- Support the deployment, scaling, and optimization of ML/NLP workloads.
- Improve platform reliability, scalability, performance, and developer experience.
- Contribute to architecture and infrastructure decisions and promote code quality, testing, and DevOps best practices.
- Use AI-assisted coding tools and manage AI agents to execute work effectively.
Qualifications
- 5+ years of software engineering experience focused on backend systems and platform engineering.
- Proficiency in Java and Python.
- Experience with cloud or on-premises computing environments, such as GCP, AWS, or Azure.
- Experience with Docker, Kubernetes, and infrastructure-as-code tools such as Terraform or Pulumi.
- Experience with observability tools such as Prometheus, Grafana, or ELK/EFK.
- Experience supporting ML workloads in production or working on ML platforms.
- Experience designing and operating distributed systems.
- Familiarity with data infrastructure such as Kafka, Spark, or Airflow.
Skills mentioned
About Vectara
Global businesses rely on Vectara to accelerate troubleshooting, streamline compliance, and turn siloed technical and business data into faster, more confident decisions. Across every one of these industries, the common thread is the same: organizations sit on enormous volumes of proprietary, unstructured data that generic AI tools cannot safely or reliably reason over. Vectara closes that gap, unifying fragmented sources, assembling real-time context, and enforcing the guardrails needed to trust every agent's answer, so troubleshooting, compliance, and decision-making all move faster, with full auditability built-in.
H-1B sponsorship history
Historical employer filing data was found for Vectara. The employer record includes 3 historical certified applications. This is employer-level history, not a guarantee that this role currently offers sponsorship.