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Devops Engineer, Cloud

Remote · Hong Kong Full-time

About The Company 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 empower 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, regardless of users, devices, or applications' locations. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth, positioning itself for a future IPO. We foster a culture of innovation, collaboration, and customer success. Our team comprises passionate, forward-thinking professionals dedicated to shaping 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 making a real difference in how the world connects and communicates. About The Role This position involves building and managing scalable, secure, and automated DevOps infrastructure across both cloud and on-premises environments. The successful candidate will be responsible for managing Kubernetes clusters, CI/CD pipelines, databases, observability tools, and infrastructure-as-code configurations. Collaboration with development, operations, and security teams is essential to ensure resilient deployments and reliable service delivery in distributed systems. The role requires a proactive approach to automating infrastructure provisioning, maintaining high availability, and optimizing performance across diverse environments. The ideal candidate will have a strong technical background in cloud-native technologies, infrastructure automation, and database management, with a focus on operational excellence and security best practices.

Qualifications

  • 3+ years of experience managing Kubernetes in production environments
  • Expertise with container tools such as Docker and Podman
  • Proficiency with orchestration tools including Kubernetes and Helm
  • Strong experience with CI/CD pipelines using GitLab, Jenkins, Argo CD, and GitOps workflows
  • Proficient in Infrastructure as Code tools like Terraform, CloudFormation, and Ansible
  • Deep knowledge of managing distributed databases within Kubernetes, including StatefulSets, PVCs, backup, recovery, scaling, and clustering techniques (e.g., Cassandra, MongoDB, CockroachDB, etcd)
  • Experience with cloud platforms such as AWS, GCP, Azure, or on-premises solutions, with hybrid/multi-cloud experience preferred
  • Familiarity with Kubernetes networking and service meshes (Istio, Calico, Cilium)
  • Strong scripting skills in Bash, Python, or similar languages
  • Excellent analytical, troubleshooting, and communication skills
  • Self-motivated, detail-oriented, and capable of working in high-paced, on-call environments
  • Commitment to operational excellence and thorough documentation practices

Preferred qualifications include familiarity with compliance standards (FIPS, FedRAMP, FISMA) and relevant certifications such as CKA/CKAD, AWS/GCP, or Terraform.

Responsibilities

  • Design, implement, and maintain CI/CD pipelines utilizing tools like Jenkins, GitLab CI, and Argo CD
  • Automate infrastructure provisioning and configuration management using Terraform, Ansible, and Helm charts
  • Deploy, configure, and manage Kubernetes clusters across cloud and on-premises environments (EKS, AKS, GKE, Rancher, RKE2, k3s, OpenShift)
  • Enforce security best practices within Kubernetes, including RBAC, PodSecurity policies, secrets management, and network policies
  • Monitor and optimize Kubernetes workloads for performance, reliability, and scalability
  • Administer distributed database systems, ensuring high availability, data consistency, and efficient backup and recovery strategies
  • Develop and implement observability stacks such as Prometheus, Grafana, ELK, and Zabbix for infrastructure and application monitoring
  • Collaborate with development teams to design scalable deployment patterns and troubleshoot pipeline/build/deploy issues
  • Maintain comprehensive technical documentation, including environment configurations, architecture decisions, and operational procedures
  • Mentor team members on DevOps practices, Kubernetes management, and cloud-native technologies

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