Senior/Staff Software Engineer

Vectara

. Build and scale the core infrastructure powering Vectara's AI agent platform .

Posted 11/2/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and scaling backend systems and infrastructure for AI platforms, with a strong focus on automation, observability, and performance. Proficient in leading architectural decisions and mentoring team members while ensuring best practices in code quality and DevOps culture.

Highest-signal resume keywords

Java ProficiencyPython ProficiencyInfrastructure AutomationContainerization and OrchestrationObservability Tools Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Backend Systems EngineeringDistributed Systems DesignInfrastructure-as-CodeMachine Learning PlatformsScalable System Design

Soft Skills

MentoringCollaborationLeadership

Tools & Technologies

DockerKubernetesTerraformPulumiPrometheusGrafanaELK/EFK

Industry Keywords

GCPAWSAzureData InfrastructureKafkaSparkAirflow

Tech Stack

Tools & technologies

AirflowAWSAzureDistributed SystemsDockerGoogle Cloud PlatformGrafanaJavaKafkaKubernetesPrometheusPythonSparkTerraform

About the role

Key responsibilities & impact

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

What you’ll need

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)