Cloud Automation & DevOps Engineer

• The role requires strong hands-on experience with OpenShift, Kubernetes, GitOps, CI/CD automation, observability, secrets management, Linux, and scripting. The selected candidate will also support production troubleshooting, platform migrations, and reusable engineering solutions.

Key Responsibilities

• Design, build, and maintain CI/CD pipelines and reusable automation workflows.
• Deploy and support containerized applications on OpenShift and Kubernetes.
• Develop reusable GitHub Actions and GitLab CI templates to standardize application delivery.
• Implement GitOps-based deployments using tools such as Argo CD, Flux, and Helm.
• Automate infrastructure and operational activities using Python, Bash, Ansible, and similar tools.
• Integrate applications and delivery pipelines with enterprise secrets-management platforms.
• Build and support observability capabilities across logs, metrics, and distributed traces.
• Develop automated platform validation, monitoring, and remediation solutions.
• Support the migration of applications and microservices from legacy container or virtualization platforms to OpenShift.
• Troubleshoot CI/CD, container, infrastructure, networking, and production runtime issues.
• Implement code-quality and security controls within delivery pipelines.
• Participate in incident response, root-cause analysis, and continuous service improvement.
• Create technical documentation, operating procedures, and reusable platform standards.
• Collaborate with application teams to improve developer experience and release reliability.

Required Skills

• Strong experience with OpenShift, Kubernetes, Docker, or Podman.
• Hands-on experience with GitHub Actions, GitLab CI, or comparable CI/CD platforms.
• Experience with Argo CD, Helm, Git, and GitOps delivery practices.
• Strong scripting and automation skills using Python and Bash.
• Experience working in Linux-based enterprise environments.
• Experience integrating HashiCorp Vault or a comparable secrets-management solution.
• Experience with observability tools such as Prometheus, Grafana, OpenTelemetry, Elasticsearch, Kibana, or Jaeger.
• Understanding of microservices, container networking, and cloud-native application architecture.
• Experience supporting production systems and resolving platform or deployment incidents.
• Knowledge of code-quality tools such as SonarQube.

Preferred Skills

• Experience with Ansible, StackStorm, Zabbix, or automated remediation.
• Exposure to AWS, GCP, OpenStack, VMware, or Rancher.
• Familiarity with Active Directory and LDAP integrations.
• Experience with PostgreSQL, MySQL, DB2, or MongoDB.
• Programming exposure to Java, Node.js, C#, or C++.

Education

• Diploma or degree in Computer Science, Software Engineering, Information Technology, or a related discipline, or equivalent practical experience.