Live opening · Posted 16 days ago
At a glance
The key details from the original listing.
About the role
Description supplied by the original job listing.
Company Description KiviDB is focused on building one of the fastest in-memory cache and vector database solutions for modern data-intensive applications. The company is dedicated to high-performance computing and low-latency data access, enabling organizations to process and retrieve information at scale. Team members work on cutting-edge technology in databases, distributed systems, and in-memory architectures. KiviDB values innovation, reliability, and hands-on problem solving, offering opportunities to contribute directly to core product performance and stability.
Role Description This is a full-time, on-site DevOps Engineer role based in Indore. The DevOps Engineer will design, implement, and maintain infrastructure and deployment pipelines that support KiviDB’s high-performance in-memory cache and vector database products. Day-to-day responsibilities include managing Linux-based systems, configuring and monitoring servers, and ensuring high availability and reliability of production and staging environments. The role involves building and improving continuous integration workflows, collaborating with software developers to streamline releases, and implementing Infrastructure as Code practices for consistent, reproducible environments. The DevOps Engineer will also handle troubleshooting, performance optimization, security hardening, and documentation of operational processes.
Qualifications
Strong System Administration and Linux skills for managing, securing, and monitoring server environments.
Experience with Infrastructure as Code (IaC) tools to provision, configure, and automate cloud or on-premise infrastructure.
Knowledge of Continuous Integration practices and tools to design, maintain, and improve build and deployment pipelines.
Software Development experience sufficient to collaborate with engineers, write scripts, and contribute to automation and tooling.
Familiarity with containerization and orchestration (e.g., Docker, Kubernetes) and version control systems (e.g., Git).
Understanding of networking, security best practices, and monitoring/alerting solutions in production environments.
Ability to analyze performance issues and optimize infrastructure for low-latency, high-throughput workloads.
Relevant degree in Computer Science, Information Technology, or equivalent practical experience.
Strong problem-solving skills, attention to detail, and the ability to work collaboratively in an on-site team environment.
Work arrangement
No
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