DevOps Engineer

Company Description DhronAI is creating a unified home for intelligence, replacing fragmented AI tools and workflows with a single, integrated system. The company’s AI-Inicio platform turns organizational data into dynamic, actionable intelligence. Through AI Foundry, organizations can build proprietary AI models from internal knowledge, while AI Studio represents the organization using Cognitive Digital Twins. Dhron, the Cardinal Intelligence System, autonomously operates, learns, and evolves the platform over time. DhronAI is designed as one thinking system that runs real-world intelligence end to end, offering a modern environment for professionals working at the intersection of AI and operations.
Role Description This is a full-time, on-site DevOps Engineer role based in Vapi. The DevOps Engineer will design, implement, and maintain scalable infrastructure to support DhronAI’s intelligence platform and related services. Daily responsibilities include managing CI pipelines, automating deployments, administering Linux-based systems, and ensuring high availability and performance of production environments. The role involves collaborating with software development teams to streamline build and release processes, implementing infrastructure as code practices, and monitoring systems for reliability, security, and cost efficiency. The DevOps Engineer will also contribute to improving operational workflows, documentation, and incident response procedures.
Qualifications
Strong system administration skills with hands-on experience in Linux and GCP environments.
Proficiency in Infrastructure as Code (IaC) tools and practices for automating and managing infrastructure.
Experience with Continuous Integration pipelines and related tooling to support build, test, and deployment workflows.
Background in Software Development, with the ability to collaborate effectively with engineering teams on code integration and release processes.
Knowledge of containerization and orchestration (e.g., Docker, Kubernetes) is highly beneficial.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and monitoring/logging solutions.
Strong problem-solving skills, attention to detail, and a focus on reliability, security, and performance.
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
Ability to work on-site in Vapi and collaborate in a cross-functional, fast-paced environment.

Work arrangement
No