Data DevOps Engineer

Versa Networks; Santa Clara (CA); On-site; USD 200,000 - 220,000; Full time

Benefits offered by this job

Competitive Salary & Incentives

Comprehensive health insurance

Generous Paid Time Off (PTO)

Flexible Work Environment

Professional Development access

Employee Recognition programs

Collaborative Culture

Generous Parental Leave

Job summary

A leading networking technology company in Santa Clara is seeking a Data DevOps Engineer with 8+ years of experience to join their ML/AI team. The role involves working on data pipelines, collaborating with DevOps and data teams, and improving existing systems. Candidates should have strong programming skills in Python, Scala, or Java. This position offers a competitive salary and a flexible work environment.

Qualifications

• 8+ years of experience in a relevant role.
• Experience in setting up multitenant Spark & Kafka clusters.
• Experience cleaning, processing, managing, and analyzing vast collections of data.

Responsibilities

• Work on data pipeline for various ML/AI products.
• Build out pipelines with DevOps teams.
• Implement new features with data scientists and software engineers.
• Improve monitoring and debuggability of existing pipelines.

Skills

Python

Scala

Java

Infrastructure automation

Data processing

Apache Spark

Apache Kafka

Team player

Tools

Jenkins

Ansible

Terraform

NoSQL

SQL

cloud SQL DB

Job description

About Us

At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO.

We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact.

At Versa Networks, we don’t just build products – we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates.

Job Summary

We are looking for a Data DevOps Engineer with 8+ years of experience to join our ML/AI team.

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.

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

Location: Santa Clara, CA
*Applicants must be authorized to work in the US

The pay range for this position at commencement of employment in California, Washington, or New York City is expected in the range of $200,000-$220,000. A candidate’s specific pay within this range will depend on a variety of factors, including job-related skills, training, location, experience, relevant education, certifications, and other business and organizational needs.

Why Versa?

At Versa Networks, we believe in taking care of our people – both professionally and personally. We offer a comprehensive benefits package designed to support the well‑being, growth, and work‑life balance of our employees. When you join our team, you can expect:

• 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.

At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success.

Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.