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DevOps Engineer

5 years

0 Lacs

Vadodara, Gujarat, India

Posted:1 day ago| Platform: Linkedin logo

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Skills Required

devops technology content ai automate deployment efficiency automation aws gcp azure monitoring optimization reliability security compliance data collaboration software containerization docker kubernetes code terraform ansible scripting python management troubleshooting engineering

Work Mode

On-site

Job Type

Full Time

Job Description

Loti is a technology company that provides online protection for public figures such as major artists, athletes, executives, and creators. We specialize in identifying and removing infringing content and accounts, managing licenses, and ensuring brand protection in the era of generative AI. Our services include fake account detection, deepfake identification, and automated takedown engines. Loti AI, Inc. is seeking a highly skilled DevOps Engineer to build and maintain scalable, secure cloud infrastructure. You will lead initiatives to automate deployment pipelines and ensure the efficiency of Loti’s AI-powered solutions. Key Responsibilities Infrastructure Automation: Build and maintain automated CI/CD pipelines and manage scalable cloud infrastructure (AWS, GCP, or Azure). System Monitoring & Optimization: Ensure the reliability and performance of Loti’s applications by implementing advanced monitoring solutions. Security & Compliance: Develop and enforce best practices in security to ensure data protection and compliance with industry standards. Cross-Team Collaboration: Work closely with data scientists and software engineers to streamline operations and optimize system performance. Qualifications Experience: 5+ years of experience in DevOps roles, with a deep understanding of cloud platforms (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code (Terraform, Ansible). Scripting Expertise: Strong scripting experience in Python, Bash, or Go for automation and infrastructure management. Problem-Solving: Advanced troubleshooting and optimization skills in a cloud environment. Education: Bachelor’s or master’s degree in computer science, Engineering, or a related field. Show more Show less

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