Data DevOps Engineer
About The Position
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.
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: 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
501-1,000 employees
