Data DevOps Engineer - ML/AI Pipelines (Remote)

Versa Networks, Inc.; Santa Clara, Northern (CA, KY); Hybrid; USD 200,000 - 220,000; Full time

Benefits offered by this job

Competitive Salary & Incentives

Health & Wellness

Paid Time Off

Flexible Work Environment

Professional Development

Employee Recognition

Collaborative Culture

Parental Leave

Job summary

Versa Networks is seeking a Data DevOps Engineer with 8+ years of experience to join our ML/AI team in Santa Clara, CA. The role focuses on building and maintaining data pipelines, enabling collaboration between DevOps, data scientists, and software engineers to deploy scalable ML/AI features.

You will work on multitenant Spark & Kafka clusters, automate infrastructure, and improve pipeline observability while contributing to a fast-paced, innovative environment with strong emphasis on

Qualifications

• Experience in setting up multitenant Spark & Kafka clusters.
• Experience running infrastructure automation using Jenkins/Ansible/Terraform or similar pipelining tools.
• Strong skills in at least Python, Scala or Java.
• Experience in cleaning, processing, managing, analyzing & search vast collections of data.
• Experience in Apache Spark, Apache Kafka and related toolset.
• Some experience with database technologies, knowledge on when to use a NoSQL, a regular SQL DB or a cloud SQL DB.
• Team player with the ability to handle multiple projects at the same time

Responsibilities

• Work on data pipeline on various ML/AI products.
• Interface with DevOps teams to build out the pipelines.
• Interface with Data Scientists and Software engineers to implement new features.
• Improve monitoring and debuggability of the existing pipelines.

Skills

Spark & Kafka clusters

CI/CD pipelines

Python/Scala/Java

Data cleaning/processing

Apache Spark & Kafka

NoSQL/SQL/Cloud SQL

Multitasking/team player

Tools

Jenkins

Ansible

Terraform

Job description

Versa Networks is seeking a Data DevOps Engineer with 8+ years of experience to join our ML/AI team in Santa Clara, CA. The role focuses on building and maintaining data pipelines, enabling collaboration between DevOps, data scientists, and software engineers to deploy scalable ML/AI features.

You will work on multitenant Spark & Kafka clusters, automate infrastructure, and improve pipeline observability while contributing to a fast-paced, innovative environment with strong emphasis on