1449-DevOps Engineer

Required Skills:

About the Role We are seeking a skilled DevOps Engineer to join our infrastructure this role you will manage Kubernetes-based systems in our on-premise data center working across bare-metal hardware networking database administration and application deployments. You will address the challenges of operating a private cloud environment optimizing AI model performance enhancing CI/CD pipelines and supporting Enterprise Java and Python services. This position includes hands-on work with production data center racks to ensure reliability scalability and high performance for our AI-driven applications. Responsibilities Design deploy and maintain Kubernetes clusters using Helm for orchestration and configuration. Build and optimize CI/CD pipelines with Git Jenkins and related tools. Administer Postgres and NoSQL databases including tuning scaling backups and security. Manage bare-metal hardware: provisioning monitoring troubleshooting and maintaining servers and network components. Deploy monitor and support Enterprise Java and Python applications in production. Collaborate with AI teams to integrate and operate machine learning models at scale. Monitor system performance implement automation and respond to incidents to ensure high availability. Contribute to infrastructure-as-code documentation and best practices for on-premise cloud operations. Required Skills & Qualifications Bachelors degree in Computer Science Engineering or equivalent experience. 3 years in DevOps cloud engineering or systems administration focused on Kubernetes and container orchestration. Strong proficiency with Helm for Kubernetes application management. Hands-on experience with Git and Jenkins for CI/CD. Expertise in Postgres administration: optimization replication and disaster recovery. Familiarity with Enterprise Java and Python for application support and scripting. Strong Linux system administration skills. Knowledge of bare-metal hardware management data center operations and networking (VLANs firewalls load balancers). Exposure to AI/ML workflows including model deployment and inference optimization. Strong problem-solving skills in complex production environments. Experience operating private cloud or on-premise data centers at scale. Scripting skills in Bash Python or similar. Certifications such as CKA or similar are a plus. Understanding of security best practices in hybrid or private cloud environments.