Data DevOps Engineer
About The Position
We are looking for a Data DevOps Engineer with 8+ years of experience to join our ML/AI team. 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.
Requirements
- 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.
Benefits
- Competitive Salary & Incentives
- Comprehensive medical, dental, and vision insurance plans
- Generous PTO policy that includes vacation days, sick leave, and paid holidays
- Flexibility of remote work, and hybrid option
- Access to training, certifications, and educational resources
- Regular recognition programs and awards
- Generous parental leave policies
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
