Job Description

**Introduction** Key Responsibilities Design, deploy, and manage cloud infrastructure on AWS, GCP and Azure using Terraform and automation tools. Implement automation and orchestration tools to streamline deployment, monitoring, and management processes. Develop and maintain CI/CD pipelines using Jenkins and GitHub Actions for automated testing and deployment. Work closely with development teams to optimize application performance in cloud environments. Manage and optimize containerized applications using Docker, Kubernetes (EKS/AKS), and service mesh solutions (Istio). Monitor and troubleshoot infrastructure and application issues, ensuring high availability and reliability. Implement security best practices, including TLS, mTLS, certificates, encryption, IAM policies, and secrets management. Continuously evaluate and recommend new technologies to improve efficiency and scalability. **Your role and responsibilities** As a DevOps Cloud Engineer, you will be responsible for designing, implementing, and maintaining our cloud infrastructure to ensure scalability, reliability, and security. You will work closely with development teams to streamline deployment processes, optimize cloud environments, implement and maintain software release pipelines. The role also requires on-call rotation. **Required technical and professional expertise** Proven experience as a DevOps Engineer or Cloud Engineer. Strong expertise in AWS, Load Balancers (ALB/NLB/ELB), IAM, Security Groups, and VPC networking (and similar components in Azure cloud) Expert-level knowledge of Terraform for Infrastructure as Code (IaC) Extensive hands-on experience with containerization using Docker and orchestration with Kubernetes (EKS/AKS) (Certified Kubernetes Admin/Developer preferred) Experience with CI/CD tools such as Jenkins, GitHub Actions, Argo, Helm, and Kustomize Familiarity with security protocols, encryption, transport layer security (TLS/mTLS), and certificate management Proficiency in scripting languages such as Shell and Python for automation Solid understanding of networking concepts and protocols, including VPCs, subnets, firewalls, DNS, and load balancing Strong problem-solving, troubleshooting, and communication skills AWS/Azure Certifications are a plus Ability to communicate effectively in English, both verbally and in writing **Preferred technical and professional experience** Preferred technical and professional experience Demonstrated experience as a DevOps Engineer or Cloud Engineer Demonstrated experience with AWS or Azure cloud or GCP Demonstrated experience with infrastructure as code (IaC) tools as Terraform Demonstrated experience with container technologies, Docker and Kubernetes Nice to Have Experience with multi-cloud deployments. Observability & Logging tools like Prometheus, Grafana, AWS CloudWatch, DataDog. Experience with service mesh solutions such like Istio. IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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