Data Engineer

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August 9

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Versa Networks

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Telecommunications • Cybersecurity • Enterprise

Versa Networks is a leader in the Secure Access Service Edge (SASE) and Software-Defined Wide Area Network (SD-WAN) markets, recognized for its innovative and comprehensive solutions. The company offers a range of products that integrate networking and security functionalities, featuring AI-powered threat protection, advanced security measures, and genuine multitenancy. Versa's platforms support versatile deployment options across the cloud and on-premises, emphasizing a unified approach to secure connectivity for users, devices, and networks. Its solutions help organizations transform their IT infrastructure by simplifying management and reducing complexity, which is reflected in various industry-specific applications, from telecommunications to financial services.

501 - 1000 employees

Founded 2012

📡 Telecommunications

🔒 Cybersecurity

🏢 Enterprise

📋 Description

• Pipeline Development & Deployment: Architect, develop, and deploy batch and streaming pipelines using Airflow and containerized workflows for cyber-security use-cases. • Containerize data-processing jobs with Docker, orchestrate with Kubernetes, and manage releases with Helm charts. • Distributed Computing: Build high-throughput data transformations using Dask or Apache Spark. Maintain training data clusters across hybrid (on-prem and cloud environments). Optimize training jobs for performance, resiliency, and cost. • Monitoring & Reliability: Implement observability (logging, metrics, alerting) to maintain pipeline health and SLA adherence. Troubleshoot, debug, and resolve data-processing failures in production. • Collaboration & Best Practices: Work with cross-functional teams to define data contracts, schemas, and quality checks. Enforce software engineering best practices: CI/CD, code reviews, automated testing, and documentation. • Data Modeling & Storage: Design and maintain data models and schemas for AI/ML continuous training use cases. Load data into cloud storage and lakes, ensuring performance and accessibility.

🎯 Requirements

• 3–5 years of professional experience designing and operating production data pipelines at scale. • Containerization & Orchestration: Expertise with Docker, Kubernetes, and Helm. • Workflow Management: Hands-on experience building DAG-based pipelines in Apache Airflow. • Programming: Strong proficiency in Python for data engineering tasks. • Distributed Frameworks: Practical experience with Dask or Apache Spark for large-scale data processing. • Cloud Fundamentals: Familiarity with deploying and managing services in a cloud environment. • Compiled Languages: Experience writing data services in Go or Rust. • GCP Proficiency: Hands-on with Google Cloud services (e.g., Pub/Sub, Big Query, Cloud Storage, GKE). • Equivalent experience in other public cloud providers is fine. • ML Pipelines: Exposure to deploying cross-cluster model-training workflows using Ray or similar frameworks. • Infrastructure as Code: Familiarity with Terraform for deployment. • Security & Compliance: Knowledge of data governance, encryption, and role-based access control.

🏖️ Benefits

• Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication. • Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered. • Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters. • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you. • Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends. • Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success. • Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do. • Parental Leave: Generous parental leave policies to support you during life's important moments.