Cloud Engineer

Introduction
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.

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'll work in our IBM Client Innovation Center (CIC), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.

Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

As a member of our team, 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.

We are looking for passionate, original thinkers who want to drive progress, grow their network, and further their careers. If you see yourself as someone who never stops learning, who believes no problem is too big to solve, and who wants to unleash their potential, an Associate role is 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 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/Open Shift.

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, Dev Ops tools, and multi‑cloud best practices.

Required technical and professional expertise

Core Competencies:

Proficiency in Python (preferred) or Java/Go, with strong scripting skills in Bash/Power Shell

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 Dev Ops practices and CI/CD tools such as Azure Dev Ops, Jenkins, Git Hub Actions, Git Lab CI

Proficiency in Git/Git Hub version control and collaborative development workflows

Strong knowledge of containerization using Docker and orchestration platforms like Kubernetes/Open Shift

Experience with Infrastructure as Code (IaC) tools such as Terraform (preferred), Ansible, Cloud Formation, 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…