Cloud & AI Engineer at IBM

📋 Job Details at a Glance 📍 Location Bangalore, IN 🏢 Company IBM 👥 Experience 0-2 years 🎓 Qualification Relevant technical qualification and demonstrated shipping experience 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary Not Disclosed 🏢 Industry Technology 🛠 Key Skills Cloud Infrastructure Design Hybrid Cloud Platforms Site Reliability Engineering Networking Automation Mainframe Systems Management Cloud & AI Engineer at IBM — Full Details & How to Apply IBM is hiring a Cloud & AI Engineer in Bangalore, IN , offering a unique opportunity to work on cutting-edge hybrid cloud platforms and AI-driven infrastructure. This role is part of IBM ’s ongoing expansion in Bangalore, IN jobs , with a focus on scalable solutions for global enterprises. The demand for Cloud & AI Engineer jobs is growing rapidly as companies seek to modernize their IT infrastructure and leverage AI for operational efficiency. IBM , a leader in the Technology industry, is at the forefront of this shift, with its hybrid cloud platforms and AI initiatives driving innovation across sectors. This role is a key part of IBM’s strategy to deliver next-generation solutions that meet evolving business needs. IBM stands out as an employer due to its global scale, commitment to innovation, and robust career development programs. The company is expanding its Bangalore, IN jobs portfolio, with a focus on hiring skilled engineers who can contribute to large-scale cloud and AI projects. IBM’s recent investments in hybrid cloud and AI technologies make this an ideal environment for professionals looking to grow in the Technology industry. 2023, 2024, 2025, 2026 graduates with Relevant technical qualification and demonstrated shipping experience and 0-2 years experience are eligible to apply. The salary for this role is Not Disclosed , but the opportunity includes exposure to advanced technologies and a competitive work environment. This role will allow you to work with Cloud Infrastructure Design , Hybrid Cloud Platforms , Site Reliability Engineering , Networking Automation , and Mainframe Systems Management
These skills are critical for building scalable and secure systems, opening doors to advanced roles in cloud architecture and AI development. The experience gained here can lead to leadership positions in enterprise IT and AI innovation. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The Cloud & AI Engineer at IBM is tasked with designing and implementing innovative solutions that leverage cloud infrastructure and AI technologies to enhance operational efficiency. Design and implement cloud infrastructure solutions using tools like AWS and Azure to support scalable applications. Develop and maintain hybrid cloud platforms that integrate on-premises and cloud resources for optimal performance. Utilize site reliability engineering practices to ensure high availability and reliability of cloud services. Automate networking tasks using Ansible and Terraform to streamline deployment processes. Manage mainframe systems to ensure seamless integration with cloud environments and enhance data accessibility. Monitor and analyze system performance metrics to identify areas for improvement in cloud operations
Collaborate with cross-functional teams to gather requirements and deliver tailored AI solutions that meet business needs. Document processes and solutions to facilitate knowledge sharing and support continuous improvement initiatives. This role fosters an ownership culture, allowing you to directly impact the success of IBM by delivering cutting-edge solutions that drive innovation. Required Skills & Technical Competencies The ideal candidate will possess a robust technical skill set that aligns with the demands of the Cloud & AI Engineer position at IBM
Technical Skills Cloud Infrastructure Design — entry — Applied to create scalable and efficient cloud environments using AWS and Azure
Hybrid Cloud Platforms — entry — Used to integrate on-premises and cloud resources for enhanced operational flexibility. Site Reliability Engineering — entry — Implemented to ensure the reliability and performance of cloud services. Networking Automation — entry — Employed tools like Ansible and Terraform to automate networking tasks. Mainframe Systems Management — entry — Managed to ensure compatibility and integration with cloud solutions. When showcasing these technical skills in your resume or interview, emphasize your hands-on experience with specific tools and technologies relevant to the role. Eligibility Criteria This role is designed for recent graduates and early-career professionals eager to develop their expertise in cloud and AI technologies at IBM
Relevant technical qualification in Computer Science or related field. Graduation years: 2023 , 2024 , 2025 , 2026
0-2 years of demonstrated shipping experience in cloud technologies. Minimum CGPA of 3.0 on a 4.0 scale. A portfolio showcasing relevant projects and technical skills is highly encouraged. Documentation & Portfolio Requirements Submit a resume in PDF format that includes your educational background, relevant experience, and a link to your portfolio showcasing your technical projects. Pro tip: Highlight specific projects where you utilized cloud infrastructure or AI technologies to demonstrate your practical experience during the application process. Salary for Cloud & AI Engineer at IBM 💰 Compensation Not Disclosed The advertised compensation for the Cloud & AI Engineer role at IBM is Not Disclosed
The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Cloud & AI Engineer Upskilling with the right resources significantly enhances your chances of selection for the Cloud & AI Engineer role at IBM
Recommended Courses & Resources Cloud Infrastructure Design — This course provides essential skills in designing cloud infrastructures, crucial for this role. KodNest — Offers hands-on experience with hybrid cloud platforms , aligning with job requirements. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Neglecting Cloud Technologies — Focus on relevant cloud technologies in your experience. ❌ Ignoring Soft Skills — Highlight teamwork and communication skills, essential for collaboration. ❌ Overloading with Jargon — Use clear language; avoid excessive technical jargon. ❌ Not Tailoring Your Resume — Customize your resume for the specific role and company. ❌ Skipping Projects — Include relevant projects that showcase your skills and experience. ❌ Underestimating Networking — Engage with professionals in the field to gain insights and opportunities. Before You Apply — Checklist ✅ Research IBM ’s cloud initiatives and align your skills accordingly. ✅ Update your resume to reflect relevant experience and skills. ✅ Prepare for technical interviews by practicing coding challenges. ✅ Gather references from previous employers or mentors. ✅ Ensure your LinkedIn profile is up-to-date and professional. ✅ Review the job description thoroughly and match your skills. ✅ Prepare questions to ask during the interview. ✅ Practice your communication skills for clear articulation of your thoughts. Resume Tailoring & ATS Keywords for Cloud & AI Engineer Optimizing your resume for ATS is crucial for securing an interview for the Cloud & AI Engineer position at IBM
ATS Keywords to Include Cloud Infrastructure Design Hybrid Cloud Platforms Site Reliability Engineering Networking Automation Mainframe Systems Management Resume Tips for This Role Highlight your experience with cloud infrastructure design prominently. Showcase any projects related to hybrid cloud platforms
Include metrics to demonstrate your impact in site reliability engineering
Detail your proficiency in networking automation with specific examples. Emphasize your knowledge of mainframe systems management in relevant contexts. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro Tip: Avoid including unrelated work experience that does not pertain to the role. How to Apply for Cloud & AI Engineer at IBM Apply Now — IBM Open the official Apply URL and confirm the job title and company. Prepare a resume aligned with the skills, responsibilities, qualification, and experience requirement. Complete the official application form accurately and avoid unsupported claims. Submit the application and save the confirmation or application reference if the portal provides one. Record the application date and monitor the official company portal or registered email for updates. Applications reviewed on rolling basis — early submission recommended. Apply Now — IBM NexisGrow.com does not charge any fees for job applications. IBM IBM was founded in 1911 and has grown to become a global technology leader with over 280,000 employees across 170 countries
The company's headquarters are located in New York, NY , but it maintains a significant presence in Gurgaon, Haryana , where it operates one of its largest research and development centers. IBM Cloud and Red Hat OpenShift are two of the most prominent platforms offered by IBM
These technologies power enterprise solutions for cloud computing, AI, and data analytics. IBM also provides services like Watson AI and Blockchain as a Service , which are used by organizations worldwide to drive innovation and operational efficiency. IBM has been recogni

Work arrangement
Hybrid