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Versa Networks

Cloud-native SASE platform with SD-WAN security

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeSanta Clara, CA, USAIn-person

About the Job

Requirements

  • Three to five years of professional experience designing and operating production data pipelines at scale.
  • Expertise with Docker, Kubernetes, and Helm.
  • Hands-on experience building directed acyclic graph-based pipelines in Apache Airflow.
  • Strong proficiency in Python for data engineering tasks.
  • Practical experience with Dask or Apache Spark for large-scale data processing.
  • Familiarity with deploying and managing services in a cloud environment.
  • Experience writing data services in Go or Rust.
  • Hands-on experience with Google Cloud services such as Pub/Sub, BigQuery, Cloud Storage, and GKE; equivalent experience in other public cloud providers is acceptable.
  • Exposure to deploying cross-cluster model-training workflows using Ray or similar frameworks.
  • Familiarity with Terraform for deployment.
  • Knowledge of data governance, encryption, and role-based access control.
  • Applicants must be authorized to work in the United States.

Responsibilities

  • Architect, develop, and deploy batch and streaming pipelines using Airflow and containerized workflows for cybersecurity use cases.
  • Containerize data-processing jobs with Docker, orchestrate them with Kubernetes, and manage releases with Helm charts.
  • Build high-throughput data transformations using Dask or Apache Spark.
  • Maintain training data clusters across on-premises and cloud environments.
  • Optimize training jobs for performance, resiliency, and cost.
  • Implement observability through logging, metrics, and alerting to maintain pipeline health and service-level agreement adherence.
  • Troubleshoot, debug, and resolve data-processing failures in production.
  • Work with cross-functional teams to define data contracts, schemas, and quality checks.
  • Enforce software engineering best practices, including continuous integration and continuous delivery, code reviews, automated testing, and documentation.
  • Design and maintain data models and schemas for artificial intelligence and machine learning continuous-training use cases.
  • Load data into cloud storage and data lakes, ensuring performance and accessibility.

About the Company

Versa Networks

Cloud-native SASE platform with SD-WAN security

Versa Networks provides a cloud-native SASE platform that merges SD-WAN and security into one software stack. Versa SASE routes enterprise traffic through a unified cloud service, delivering networking and security as a single solution regardless of location. This reduces the need for multiple vendors and on-premises appliances by delivering everything from the cloud, with a subscription model based on users, sites, and features. The company targets enterprises and service providers through a partner-driven channel, aiming to simplify networks, strengthen security, and enable secure remote access for a distributed workforce.

Company size
501-1,000
Company stage
Late Stage VC
Total funding
$316.3M
Headquarters
Santa Clara, CA
Founded
2012

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