Cloud & AI Engineer
IBM · Posted Oct 22
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Infrastructure & Technology designs and operates the systems behind high-resiliency mainframes, hybrid cloud platforms, networking, automation, and site reliability, ensuring performance, security, and scalability for clients worldwide. The team works across cloud-native infrastructure, DevOps tooling, and Generative AI/LLM inference platforms. This role designs, develops, and maintains backend applications in Kubernetes/OpenShift environments, integrates GenAI and LLM inferencing into backend services and APIs, and operates CI/CD and infrastructure-as-code pipelines.
What you will do
- Design, develop, and enhance backend applications as per business requirements.
- Maintain and manage applications in a cloud‑native environmentusing Kubernetes/OpenShift.
- Commit source code using GitHub; perform code reviews to ensure code is up to date, compliant, high quality, and free of vulnerabilities.
- Work in accordance with Agile methodologies.
- Share knowledge and contribute to the technical growth and upskilling of team members.
- Demonstrate excellent communication skills while collaborating with cross‑functional teams.
- Ability to quickly pick up new areas and technologies based on business requirements.
Skills used in this role
What the employer is looking for
- 4+ years of overall experience in backend application development with a strong understanding of system design and best practices.
- 4+ years of hands‑on development experience in GoLang and/or Python (knowledge of C++ is a plus).
- Good level of expertise in Kubernetes or OpenShift, including use of Docker/Podmanand public cloud providers.
- Good understanding of Container Networking (CNI) and container‑native storageconcepts.
- Strong expertise in version control systems (Git).
- Experience using cloud technologies such as AWS, GCP, Azure, or IBM Cloud.
- Hands‑on experience with Ansible and Shell scripting.
- Proficient in Linux system administration.
- Experience with Infrastructure as Code (IaC) using Terraform.
- Ability to design and operate a DevOps application lifecycle.
- Strong understanding of CI/CD pipelines, especially Jenkins, Github Actions, with hands‑on experience writing and debugging Jenkinsfiles.
- Knowledge of Generative AI systems, including: LLM inferencing and model serving, including experience with vLLM
- Integrating GenAI/LLM inferencing into backend services and APIs
- Experience with deep learning frameworks such as PyTorch, TensorFlow, and Scikit‑learn
- Understanding of performance, scalability, GPU utilization, and cost considerations for AI workloads in production
Preferred qualifications
- Full‑stack development experience using GoLang and/or Python.
- Advanced expertise in Kubernetes/OpenShift and cloud service providers.
- Strong knowledge of Generative AI and inferencing, including: Serving LLMs using vLLM in cloud‑native environments
- Scaling and operating inference workloads on Kubernetes/OpenShift
- Integrating GenAI capabilities into enterprise applications
- Ability to learn new domains and technologies quickly based on business needs.
- Excellent written and verbal communication skills.
Benefits and support
- Compensation and benefits are detailed in the job posting
About IBM
International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.
- Industry
- Information Technology
- Company size
- 260,000+ employees
- Founded
- June 16, 1911
- Location
- Armonk, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $3.5B raised
- ·Post Ipo Debt$150M
Leadership
Chairman, President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President, Software and Chief Commercial Officer
Senior Vice President, IBM Consulting
Senior Vice President, Marketing and Communications
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