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IBM

Senior Cloud Developer

IBM

Published 14 May 2026
Bangalore, India
Full Time

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Role Highlights

Languages used

GO
Java
Python

Key skills

Integrations
CICD
Code Reviews
Cloud Infrastructure
Control Systems
VCS
Site Reliability
Automation
Security
Agile
Microservices
Architecture
API
Modelling
Devops
Testing
Operations
Virtualization

Tools, Libraries and Frameworks

Rest
IOS
GRPC
IBM
Docker
OpenShift
AWS
Azure
GCP
Jenkins
GitHub
Ubuntu
RHEL
Terraform
KVM

Description

The role involves designing, developing, testing, and delivering software solutions within an Agile environment. The developer will create component-level solutions and ensure they are unit tested for integration. Responsibilities include contributing to automated CI/CD pipelines to facilitate seamless delivery. The developer will also address and resolve customer-reported problems through code fixes. Collaboration with stakeholders is essential to understand requirements and provide guidance for successful project outcomes.

Required Qualifications and Skills

Candidates must possess 8 to 12 years of experience in back end services development and microservices architecture. A strong background in software development, object-oriented design, and proficiency in languages such as Golang, Java, Python, or C+ is required. Applicants need hands-on experience with cloud infrastructure, CI/CD pipelines, and DevOps tools. The role also requires expertise in defining business architecture and requirements, alongside familiarity with version control systems and specific operating systems.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

IBM

Size

305978

Website

ibm.com

HQ

Armonk, New York, US

Public/Private

Public Company

Description

IBM infuses core business operations with intelligence, from machine learning to generative AI, to make organizations more responsive, productive, and resilient. It helps clients put AI into action now, creating real value with trust, speed, and confidence across various areas like digital labor, IT automation, and security. The ability to utilize all data is critical, as AI's effectiveness is dependent on the quality of data fueling it, with IBM's AI, and data platform aiming to scale and accelerate AI's impact with trusted data. IBM's hybrid cloud platform offers a comprehensive approach to development, security, and operations across hybrid environments, laying a flexible foundation for leveraging data wherever it resides.

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