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Cloud Engineer India, Hyderabad Jobs

19 Job Offers

Platform Engineer & Cloud Ops Engineer
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Sutherland seeks a Platform & Cloud Ops Engineer in Hyderabad to build multi-cloud GCP/AWS solutions with Kubernetes, Terraform, and CI/CD. Requires 3+ years cloud/DevOps experience, strong automation and monitoring skills.
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Sutherland
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Sr Software Engineer - Cloud Platform—Kubernetes Development
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Armis
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Sr Software Engineer - Cloud Platform—Kubernetes Development
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Armis
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Senior GCP & Oracle Cloud DevOps Engineer – Platform & Tools
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Mattel
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Data Engineer Platform and Tools – Google Cloud Platform (GCP)
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Mattel
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Sr. Engineer Cloud Security
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Mattel
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Senior Cloud Security Engineer
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India, India (Hyderabad)
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Keyloop
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Senior Staff Software Engineer Cloud & AI
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Teradata
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Senior Staff Cloud AI Engineer
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India, Bengaluru, Hyderabad, Pune
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Teradata
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Staff Cloud Engineer
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Teradata
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Senior Staff Cloud AI Engineer
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India, Bengaluru, Hyderabad, Pune
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Teradata
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Staff Software Engineer Cloud and AI
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Teradata
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Senior Cloud AI Engineer
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Senior Cloud AI Engineer sought by Teradata to design scalable, cloud-native infrastructure using AWS, Azure, or GCP. Requires 4+ years in DevOps, Kubernetes, Terraform, and Python/Go. Drive AI-powered platform development in Bengaluru, Hyderabad, or Pune. Enjoy a flexible, people-first culture w...
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India, Bengaluru, Hyderabad, Pune
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Teradata
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Cloud Operations Consultant (Cloud Engineer)
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India, Hyderabad and Bengaluru
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Beretta Clima Italia
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Infrastructure Engineer – DevSecOps, Compliance & Cloud
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Seeking an Infrastructure Engineer (DevSecOps & Compliance) in Hyderabad to build secure, automated environments for CRA-aligned development. You will design hybrid/multi-cloud infrastructure (AWS, Azure, GCP) using Terraform and Kubernetes, embedding security and compliance automation. Key requi...
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Codvo AI
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Senior Cloud Engineer
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Senior Cloud Engineer sought by Teradata in Hyderabad to design cloud-native platform services for distributed infrastructure. Requires 6+ years experience, AWS/Azure/GCP expertise, Python, IaC, and CI/CD skills. Build scalable orchestration, serverless workflows, and fault-tolerant provisioning ...
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Teradata
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Staff Cloud Network Engineer
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Teradata seeks a Staff Cloud Network Engineer to join its Managed Cloud team in Hyderabad, India. You will architect and implement next-gen, multi-cloud networking solutions across AWS, Azure, and GCP. This hands-on role requires 9+ years of experience with large-scale distributed systems, VPC/VN...
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Teradata
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Cloud Engineer
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Join Amgen as a Cloud Engineer in Hyderabad, India, and drive digital innovation within our Global Commercial Operations team. Leverage your AWS expertise (EC2, S3, EKS, Lambda) and DevOps skills (Terraform, CI/CD, Docker) to manage highly available cloud environments. You will automate deploymen...
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Amgen
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Staff Cloud Engineer
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Senior Staff Cloud Engineer role in Hyderabad, India, focused on technical leadership and platform architecture for large-scale distributed systems. Requires 8+ years of experience, deep GCP expertise, and strong system design skills. You will build self-service cloud platforms and AI/ML executio...
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Teradata
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About the Cloud Engineer role

Embark on a high-demand career path by exploring Cloud Engineer jobs, a pivotal role at the heart of modern digital transformation. Cloud Engineers are the master architects and builders of the virtual infrastructure that powers today's businesses, from streaming services and e-commerce platforms to financial systems and AI applications. This profession involves designing, implementing, and managing an organization's cloud computing strategy, primarily leveraging public cloud platforms like Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). The core objective is to create scalable, resilient, and cost-efficient systems that enable innovation and operational agility.

A Cloud Engineer's typical responsibilities are diverse and multifaceted. They are primarily responsible for architecting and deploying cloud infrastructure, which includes virtual networks, storage accounts, and computing resources. A significant part of their day-to-day work involves leveraging Infrastructure as Code (IaC) tools such as Terraform and AWS CloudFormation to automate the provisioning and management of resources, ensuring consistency and repeatability. They also design for security and compliance, implementing identity and access management policies, encryption, and network security controls to protect sensitive data. Furthermore, Cloud Engineers are instrumental in ensuring system reliability and performance. They set up monitoring, logging, and alerting systems to gain observability into the health of applications and infrastructure, often using tools like Prometheus or cloud-native services. They also manage containerized applications using Docker and orchestration platforms like Kubernetes, enabling seamless deployment and scaling. Collaboration is key, as they frequently work alongside development teams to foster DevOps practices, building and maintaining continuous integration and continuous deployment (CI/CD) pipelines.

To succeed in Cloud Engineer jobs, a specific skill set is required. Foundational knowledge of at least one major cloud provider is essential, including understanding their core services for compute, storage, networking, and databases. Proficiency in scripting languages like Python, PowerShell, or Go is crucial for automation tasks. A strong grasp of networking fundamentals, including TCP/IP, DNS, and firewalls, is non-negotiable. Equally important are soft skills such as problem-solving, analytical thinking, and clear communication, as engineers must diagnose complex issues and explain technical concepts to non-technical stakeholders. While a bachelor's degree in computer science or a related field is common, many professionals enter the field with relevant certifications and hands-on experience. As businesses continue to migrate to and innovate within the cloud, the demand for skilled Cloud Engineers remains robust, offering a dynamic and rewarding career with opportunities for continuous learning and specialization in areas like security, data engineering, or machine learning.