Cloud Engineer - Entry Level

Introduction to IBM Consulting

A career at IBM Consulting is built on strong, long-term client relationships and global collaboration. You will partner with leading companies across various industries, guiding them through their hybrid cloud and AI transformations. Supported by strategic partners, robust IBM technology, and Red Hat, you'll have the resources to drive significant change and accelerate client impact. At IBM Consulting, curiosity is key to success. You are encouraged to challenge existing norms, explore novel ideas, and develop innovative solutions that deliver tangible results. IBM's culture fosters growth and empathy, supporting your long-term career development while valuing your unique skills and experiences.

Your Role and Responsibilities as a Cloud Engineer - Entry Level

At IBM, we excel in technology, recognizing that its true value lies in the results it delivers. Are you passionate about application development methodologies and tools? The IBM Client Innovation Centre (CIC) stands uniquely in the IT marketplace, bridging business needs with technological solutions. In this role, you will be part of our IBM Client Innovation Center (CIC), providing deep technical and industry expertise to a diverse array of public and private sector clients globally. Our delivery centers offer localized skills and technical expertise, driving innovation and the adoption of new technologies.

As a team member, you will assist IBM clients in resolving their most complex business challenges, seizing market opportunities, and generating real value in today’s dynamic economy.

IBM seeks passionate, original thinkers eager to drive progress, expand their professional network, and advance their careers. If you are a continuous learner, believe no problem is insurmountable, and wish to unleash your full potential, an Associate role at IBM is ideal for you.

As an Associate Multi-Cloud Engineer, You Will:

• Support the development and deployment of applications and services across AWS, Azure, and/or Google Cloud environments.
• Assist in building cloud-native solutions utilizing platform services such as compute, storage, networking, and managed databases.
• Contribute to the 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.

Preferred Education

Master's Degree

Core Competencies

Required Technical and Professional Expertise:

• 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.
• Critical thinking, resourcefulness, growth mindset.
• Ability to learn quickly and adapt to new tools and platforms.
• Attention to detail, ownership, and commitment to quality delivery.

Key Skills/Competency

• Cloud Computing
• AWS
• Azure
• Google Cloud
• Python
• DevOps
• Kubernetes
• Terraform
• CI/CD
• Cloud Security