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Infrastructure & Technology Cloud Engineer Calgary, CA

IBM
Calgary, Alberta, CAPosted February 23, 2026

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PythonJavaGoBashSQLAWSAzureDockerKubernetesTerraformAnsibleJenkinsGitHub ActionsGitGitHubGitLabRESTKafkaAgileCI/CDDevOpsMicroservices

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Job Description

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences. In this role, you’ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients worldwide. Our delivery centers offer clients locally based skills and technical expertise to drive innovation and adoption of new technology. Your role and responsibilities At IBM, we know technology. But technology is only as good as the results it delivers. Are you interested and adept in application development methodology and tools? The IBM Client Innovation Centre CIC occupies a unique position in the IT marketplace – at the intersection of business and technology. In this role, you will help IBM clients solve some of their most challenging business problems, capitalize on market opportunities and achieve real value in today’s tough economy. • Support the development and deployment of applications and services across AWS, Azure, and/or Google Cloud environments. • Assist in building cloud‑native solutions using platform services such as compute, storage, networking, and managed databases. • Contribute to automation of infrastructure provisioning using Infrastructure‑as‑Code (IaC) tools. • Work with containerized workloads using Docker and orchestration platforms like Kubernetes/OpenShift. • Support CI/CD pipeline implementation for continuous integration and delivery of cloud applications. • Collaborate with platform, security, and application teams to ensure solutions meet enterprise standards. • Participate in troubleshooting, performance tuning, and incident resolution across cloud environments. • Assist in implementing cloud security best practices including IAM, secrets management, and compliance controls. • Create and maintain technical documentation for cloud configurations, deployments, and operational runbooks. • Stay current with evolving cloud technologies, DevOps tools, and multi‑cloud best practices. Required education Bachelor’s Degree Preferred education Master’s Degree Core Competencies • Proficiency in Python (preferred) or Java/Go, with strong scripting skills in Bash/PowerShell • Hands‑on experience with two or more cloud platforms (AWS, Azure, Google Cloud) and core services (compute, storage, networking, IAM) • Strong understanding of cloud‑native development concepts including microservices and REST‑based integrations • Experience with DevOps practices and CI/CD tools such as Azure DevOps, Jenkins, GitHub Actions, GitLab CI • Proficiency in Git/GitHub version control and collaborative development workflows • Strong knowledge of containerization using Docker and orchestration platforms like Kubernetes/OpenShift • Experience with Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, CloudFormation, or ARM templates • Familiarity with monitoring and observability tools (Prometheus, Grafana, Splunk, ELK, Dynatrace) and basic reliability practices • Understanding of cloud security fundamentals, including RBAC/IAM, least privilege access, and secure deployment practices Additional Skills • Awareness of AIOps and AI‑enabled platform engineering, including support for AI/ML workloads and automation tools • Working knowledge of SQL and database fundamentals; exposure to messaging/integration tools (Kafka, Service Bus, SQS/SNS) Soft Skills • Strong analytical and problem‑solving ability • Effective communication and teamwork in cross‑functional Agile environments • Curiosity and eagerness to learn emerging tools/tech

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