1449-DevOps Engineer

hace 7 días


Medellín, Antioquia, Colombia SOFTGIC S.A.S. A tiempo completo
About the Role
We are seeking a skilled DevOps Engineer to join our infrastructure team. In 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

• Bachelor's 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.


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