Tekion

DevOpsEngineer

₹9–13L ~AI est. Bengaluru, Karnataka, India
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid+ candidates.

The Brief

“DevOps Engineer at Tekion”

Full Job Description

About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. Job Summary We are looking for a passionate and driven DevOps Engineer with 2–3 years of hands-on experience in cloud infrastructure, CI/CD automation, monitoring, and containerization. The ideal candidate thrives in a collaborative environment, takes ownership of their work, and is eager to continuously improve deployment processes, infrastructure reliability, and system performance alongside development and operations teams. Key Responsibilities • Build, maintain, and improve CI/CD pipelines for application deployments • Automate infrastructure provisioning and deployment activities using IaC tools • Manage and monitor cloud infrastructure and production environments • Work closely with developers to support application releases and troubleshooting • Handle Linux server administration and performance tuning • Implement and maintain monitoring, logging, and alerting solutions • Support containerized applications using Docker and Kubernetes • Ensure system reliability, scalability, and security best practices • Participate in incident resolution, root cause a

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