DevOps Engineer

Company Description KiviDB is focused on delivering the fastest in-memory cache and vector database solutions for modern data-intensive applications. The company builds high-performance systems designed to support real-time analytics, AI workloads, and large-scale data processing. KiviDB emphasizes low-latency, highly scalable architectures that enable organizations to unlock more value from their data. Team members work with cutting-edge technologies and performance-focused engineering practices to advance the state of data infrastructure.
Role Description This is a full-time remote role for a DevOps Engineer at KiviDB. The DevOps Engineer will design, implement, and maintain cloud and on-premise infrastructure to support high-performance in-memory and vector database deployments. Daily activities include building and managing CI pipelines, automating infrastructure provisioning, monitoring system performance, and optimizing reliability and scalability. The role involves collaborating with software engineers to streamline releases, improve observability, and ensure secure, resilient environments for development, testing, and production.
Qualifications
Strong System Administration and Linux skills for managing and troubleshooting production environments.
Experience with Infrastructure as Code (IaC) tools to automate provisioning and configuration of cloud and on-premise systems.
Background in Software Development to create automation scripts, tools, and integrations supporting DevOps workflows.
Proficiency in Continuous Integration practices and tools to build, test, and deploy applications reliably and efficiently.
Knowledge of containerization and orchestration (e.g., Docker, Kubernetes) is highly beneficial.
Experience with monitoring, logging, and alerting solutions for performance and reliability (e.g., Prometheus, Grafana, ELK).
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and networking fundamentals.
Ability to work independently in a remote setting, communicate clearly, and collaborate across distributed teams.
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience is preferred.

Work arrangement
Yes