Multi-Cloud DevOps Engineer

Overview

ibex. is seeking a Multi-Cloud DevOps Engineer to join our growing team. This pivotal role offers the chance to leverage cutting-edge technologies, champion automation, and significantly enhance infrastructure resilience across diverse cloud environments. If you're a proactive problem-solver with a passion for optimizing complex systems and deploying robust solutions across multiple cloud providers, we'd love to connect with you! Responsibilities

Continuous Integration & Deployment (CI / CD) : Design, implement, and continuously improve CI / CD pipelines tailored for multi-cloud and Kubernetes-centric platforms. This includes building and maintaining Docker container images and managing all related dependencies. Multi-Cloud Environment Management : Configure, automate, and maintain critical environments across various cloud infrastructures, including AWS, Azure, Google Cloud Platform (GCP), on-premises Kubernetes clusters, VMware, and containerized setups. A strong focus on process automation is key to boosting efficiency and consistency. Distributed System Management : Deploy and manage large-scale Kubernetes clusters (e.g., Azure AKS, AWS EKS, Google GKE), MySQL clusters, storage solutions (e.g., OpenEBS), ELK stacks, and Redis, ensuring high availability and resilience across cloud boundaries. Automation & Configuration : Utilize powerful tools like Terraform, Ansible, and Puppet to automate environment provisioning and streamline configuration management across our diverse multi-cloud infrastructure. Application Modernization : Collaborate closely with development teams to facilitate the smooth transition of legacy monolithic applications to microservices architectures, leveraging both on-premises and public cloud platforms (Azure, AWS, GCP). Monitoring & Observability : Develop comprehensive dashboards and integrate various components to enhance visibility into multi-cloud infrastructure and application performance. Operational Efficiency : Implement automated solutions for repetitive operational tasks using APIs, CLI tools, and custom scripting, thereby improving efficiency and minimizing manual effort across all platforms. Qualifications

This role requires 5 to 7 years of relevant experience in DevOps, Site Reliability Engineering, or a similar capacity with a significant focus on multi-cloud solutions. A bachelor's degree in a computer-related field or similar experience is preferred. Cloud Platforms : Extensive practical experience with production workloads on at least two of the leading public cloud providers : Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP). Container Orchestration : Expertise with Kubernetes (on-premises or managed services like Azure AKS, AWS EKS, Google GKE) and Docker. Configuration Management & IaC : Skilled in using tools such as Ansible and particularly Terraform for provisioning and managing infrastructure as code across multi-cloud environments. Monitoring & Logging : Experience with industry-standard monitoring and logging tools including Grafana, Prometheus, and the ELK stack. CI / CD Tools : Hands-on experience with robust build systems (e.g., Dockerfiles) and leading CI / CD tools such as GitLab CI / CD or Jenkins. Source Control : Proficient in Git for version control. Scripting : Strong proficiency in scripting languages including Bash and Python. Operating Systems : Demonstrated proficiency in Unix-based environments (e.g., RedHat, Ubuntu). Virtualization & Containerization : Practical experience with VMware and Docker containers. API Interaction : Proven ability to interact with REST APIs for automation and integration. Nice-to-Have Skills : Service Mesh : Deployed and operated service meshes (e.g. Istio, App Mesh, Anthos) in multi-cloud Kubernetes environments. Cloud Cost Management : Understanding of cloud spending optimization across multiple providers (e.g., billing models, reserved instances, basic FinOps concepts). Advanced Observability : Experience with distributed tracing tools (e.g., Jaeger, OpenTelemetry) or more advanced logging aggregation strategies. Cloud Networking Fundamentals : Basic understanding of multi-cloud networking principles (e.g., VPNs, peering, network security groups). Cloud Security Fundamentals : Familiarity with basic security best practices across cloud platforms (e.g., IAM, security groups). Distributed Systems Components : Experience with MySQL clusters, Redis, or similar distributed storage solutions. PowerShell Scripting : Additional proficiency in PowerShell. VMware CLI / API : Experience with VMware CLI or API for automation.

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