Cloud & AI Engineer

Role overview

Cloud & AI Engineer at IBM

Responsibilities

• Design, develop, and lead the implementation of scalable cloud-native applications and platform services.
• Develop and maintain solutions on Kubernetes/OpenShift and other cloud platforms.
• Drive automation initiatives across CI/CD, infrastructure provisioning, deployment, and observability.
• Collaborate with product, architecture, and operations teams to deliver high-quality solutions aligned with business objectives. 12+ years of experience in software engineering with a strong focus on backend and cloud-native development.

Employment details

• India Infrastructure & Technology Hybrid Professional Bangalore, IN Bangalore (0063) IBM India Private Limited Administration Amazon Web Services Red Hat Ansible Architecture Artificial Intelligence Automation Business Networking Communication Design DevOps Distributed Systems Docker Engineering Git Github Integration Java Jenkins Linux Logging Machine Learning Performance Analysis Performance Engineering Performance Tuning Production Support Python Reliability Scalability Security Shell Scripting Stakeholder Management Storage Troubleshooting Virtualization Azure Financial and Operational Combined Uniform Single Reporting Google Cloud Platform Kubernetes Microservices Enterprise Applications Observability Terraform Influencing Infrastructure as Code Software Engineering OpenShift Operational Management Hybrid Clouds Innovation Cross-functional Collaboration Cloud Platforms Continuous Integration/Continuous Delivery Pipelines Cloud Development
• Location: Bangalore [India]

About the employer

• At IBM Infrastructure & Technology, we design and operate the systems that keep the world running.
• Our teams ensure the performance, security, and scalability that clients and industries depend on every day.
• Experience with cloud platforms such as AWS, Azure, GCP, or IBM Cloud.

Additional role details

• From high-resiliency mainframes and hybrid cloud platforms to networking, automation, and site reliability.
• Working in Infrastructure & Technology means tackling complex challenges with curiosity and collaboration.
• You’ll work with diverse technologies and colleagues worldwide to deliver resilient, future-ready solutions that power innovation.
• With continuous learning, career growth, and a supportive culture, IBM provides the opportunities to build expertise and shape the infrastructure that drives progress.
• Architect and build backend services using Go, Python, Java, or similar enterprise technologies.
• Lead technical design discussions and drive architecture decisions across multiple product teams.
• Establish and enforce engineering best practices, coding standards, security controls, and operational excellence.
• Mentor engineers, conduct code reviews, and provide technical leadership across the development lifecycle.
• Extensive hands-on experience developing enterprise applications using Go, Python, or Java.
• Strong expertise in Kubernetes/OpenShift, container technologies (Docker/Podman), and microservices architectures.
• Expertise in Linux administration, troubleshooting, performance tuning, networking, security, and operational management of large-scale production environments.
• Deep understanding of system design, distributed systems, scalability, reliability, and performance engineering.
• Strong DevOps skills including Git, GitHub, Jenkins, CI/CD pipelines, Ansible, and Shell scripting.
• Experience with Infrastructure as Code using Terraform and modern automation practices.
• Strong Linux administration, troubleshooting, and production support experience.
• Experience leading technical initiatives and influencing architecture across large engineering organizations.
• Strong knowledge of container networking (CNI), and container-native storage technologies.
• Experience building highly available, mission-critical cloud platforms and services.
• Knowledge of Generative AI, AI/ML frameworks, and integration of AI capabilities into enterprise applications.
• Experience with observability tools, monitoring, logging, and performance analysis.
• Familiarity with virtualization technologies and hybrid cloud environments.
• Strong communication, stakeholder management, and cross-functional collaboration skills.
• Ability to mentor senior engineers, drive innovation, and adopt emerging technologies to solve business challenges.