DevOps Engineer working with AI training data for global organizations. Collaborating with engineering, operations, and product teams to maintain servers and databases in a hybrid work environment.
Responsibilities
Design, implement, and maintain robust monitoring and alerting systems to ensure service reliability, security, and performance.
Manage and optimize deployment pipelines to enable automated deployments and robust release management.
Plan and maintain infrastructure, including capacity planning, system upgrades, patch management, and network management to ensure seamless connectivity and performance.
Develop automation tools and scripts to streamline CI/CD workflows, system builds, backups, environment provisioning, and network configuration.
Implement comprehensive security monitoring solutions to detect, prevent, and respond to potential threats, ensuring the integrity and confidentiality of systems and data.
Participate in on-call rotations to troubleshoot incidents, maintain system uptime, and ensure operational health.
Collaborate on designing and building scalable, fault-tolerant infrastructure for distributed systems.
Support performance optimization through load testing, monitoring, proactive system tuning, and continuous security assessments.
Requirements
1–3 years of experience in infrastructure engineering, systems administration, or software development.
Proficiency with at least one major cloud platform: AWS, GCP, or Azure.
Working knowledge of containerization (Docker) and virtualization (Proxmox VE).
Familiarity with Kubernetes or other orchestration tools.
Understanding of modern deployment practices and configuration management.
Experience scaling APIs, web applications, and distributed services.
Proficient in Git and Linux system administration and automation.
Exposure to Elasticsearch, including scaling and cluster deployment.
Hands-on experience with CI/CD systems such as Jenkins, GitLab CI, or CircleCI.
Strong verbal and written communication skills in English.
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