Hands-on administration of servers, desktops, laptops, printers, routers, switches, firewalls, and IP phones in a mixed on‑prem and cloud environment.
Manage and optimize cloud infrastructure on AWS and/or Azure, including compute, storage, networking, security groups, and IAM policies.
Set up, configure, and maintain file servers, VPNs, firewalls, LDAP, and Active Directory/Entra ID for secure access and identity management.
Implement and maintain CI/CD pipelines (GitLab/Jenkins or similar) for application build, test, and deployment automation.
Monitor infrastructure, applications, and networks using modern observability tools; set up logging, alerting, and dashboards for proactive issue detection.
Perform regular OS upgrades, patching, performance tuning, backup, and disaster recovery for critical systems and services.
Troubleshoot and resolve production incidents, perform root cause analysis, and implement long-term fixes to improve reliability.
Collaborate with developers and QA to design scalable environments, improve deployment workflows, and standardize environments across dev, staging, and production.
Leverage AI-assisted tools (AIOps platforms, AI copilots, log intelligence) to speed up incident triage, root cause analysis, and problem resolution.
Use AI and automation to optimize cloud costs, capacity planning, and resource utilization across environments.
Implement or work with Infrastructure as Code (IaC) tools (Terraform, CloudFormation, ARM/Bicep, etc.) for consistent, repeatable provisioning of infrastructure.
Contribute to the evolution of cloud-native, containerized, and microservices-based architectures (Docker/Kubernetes or similar) where applicable.
Continuously evaluate and adopt DevOps trends such as GitOps, policy-as-code, progressive delivery, and enhanced security automation.
Solid experience in system and network administration, including Windows and/or Linux servers, desktop environments, and core office IT infrastructure.
Hands-on experience with AWS and/or Azure cloud services (compute, storage, networking, IAM, security, monitoring).
Practical knowledge of CI/CD tools (Jenkins, GitLab CI, GitHub Actions, etc.) and build/deployment automation.
Experience with scripting (Bash, PowerShell, Python) for automation, tooling, and integration with APIs.
Good understanding of security best practices, including firewalls, VPNs, endpoint security, identity/access management, and compliance basics.
Familiarity with monitoring, logging, and alerting tools (e.g., Prometheus, Grafana, CloudWatch, ELK, or similar).
Exposure to or strong interest in AI-driven operations (AIOps) and using AI tools to enhance reliability, automation, and support.
