19,200 Cloud Automation jobs in India
Cloud Automation Engineer
Posted today
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Job Description
5 - 7 Years
2 Openings
Chennai, Trivandrum
Role descriptionOverview
We are seeking a highly skilled and proactive Automation Engineer to join our Cloud Operations team. The role focuses on automation of infrastructure provisioning, configuration, and operational workflows across AWS-hosted environments to ensure reliability, scalability, and compliance.
Key Responsibilities
- Design and implement automation for AWS infra using Terraform, CloudFormation, and CI/CD pipelines.
- Manage and support Linux/Windows environments for optimal uptime.
- Automate provisioning/configuration of AWS services (RDS, IAM, Route53, CloudWatch).
- Build scripts and workflows to support audits, compliance, and security.
- Troubleshoot infrastructure/application issues; perform RCA and implement preventive actions.
- Collaborate with DevOps and Security to embed automation in release and governance workflows.
- Maintain automation standards, SOPs, and operational playbooks.
Technical Skills & Experience
Skill Area
Required Experience
AWS Infrastructure
5+ years
Linux / Windows Administration
3+ years
Troubleshooting
4+ years
DevOps Practices
3+ years
Infrastructure as Code (IaC)
2+ years (Terraform, CloudFormation)
AWS Services
RDS, IAM, Route53, CloudWatch
Audit & Compliance
Hands-on with audit workflows & policy enforcement
Qualifications
- Bachelor's in Computer Science, IT, or related field.
- AWS certifications (SysOps Administrator, Solutions Architect) a plus.
- Strong analytical/problem-solving skills.
- Excellent communication and documentation skills.
Preferred Attributes
- Experience with automated DR orchestration, Vault Lock, WORM protection.
- Familiarity with ServiceNow, API integrations, workflow automation.
- Exposure to ECS/EKS container environments.
- Understanding of ITIL (incident/change management).
Aws,Linux,Troubleshooting
About USTUST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.
Cloud Automation Engineer
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We are looking for a skilled Cloud Automation Engineer with 5-7 years of experience to join our team in Bangalore. The ideal candidate will have expertise in cloud automation, Ansible scripting, and cloud services such as AWS and OpenStack.
Roles and Responsibility
- Design and implement automated deployment scripts using Ansible.
- Develop and maintain infrastructure as code (IaC) tools like Terraform or CloudFormation.
- Collaborate with development teams to ensure seamless integration of CI/CD pipelines.
- Manage and optimize Docker containers and Kubernetes clusters.
- Ensure compliance with security best practices and industry standards.
- Troubleshoot and resolve complex technical issues related to cloud infrastructure.
Job Requirements
- Strong knowledge of cloud services such as AWS and OpenStack.
- Experience with containerization technologies like Docker and orchestration tools like Kubernetes.
- Familiarity with IaC tools like Terraform or CloudFormation.
- Understanding of CI/CD tools like Jenkins and GitLab.
- Knowledge of database management systems like MySQL and MongoDB.
- Excellent problem-solving skills and attention to detail.
- Notice period: 0-30 days.
- Education: 15 years of full-time education.
How to Apply
To apply, please send your resume to .
Cloud Automation Engineer
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Job Description
Role - Azure cloud engg
Exp- 7-10
location - Pan India
Key Responsibilities
- Incident & Problem Management: Handle and resolve escalated technical issues from L1 support, conduct root-cause analysis for incidents, and implement corrective actions. Experience using ITIL tools like Service Now.
- Azure Service Management: Troubleshoot and manage various Azure services, including Azure Kubernetes Service (AKS) , Application Gateway , Web Application Firewall (WAF) , Azure SQL , and Azure Monitor .
- Infrastructure Monitoring: Monitor cloud infrastructure health and performance using tools like Azure Monitor and Grafana, providing proactive alerts.
- Automation & Operations: Implement and maintain Infrastructure as Code (IaC) using tools like Terraform for automated deployment and management of Azure resources. Hands on experience in using CI/CD tools, gitlab/gitrunners preferred.
- Security & Compliance: Assist in implementing and maintaining security best practices and compliance requirements within the Azure environment.
- Collaboration & Documentation: Work with cross-functional teams, including networking, development, and security, and maintain comprehensive documentation.
- Knowledge Transfer: Mentor L1 engineers and participate in knowledge-sharing sessions to improve team expertise.
Required Skills & Qualifications
- Azure Experience: Hands-on experience with a broad range of Azure services.
- Certifications: Relevant Azure certifications required.
- Technical Skills: Proficiency in tools like Terraform, Kubernetes (including Helm Charts), and scripting languages (e.G., Python).
- Monitoring & Diagnostics: Experience with monitoring tools
- Databases: Familiarity with managing and troubleshooting cloud databases like Azure SQL.
- Problem-Solving: Strong analytical skills for diagnosing and resolving complex technical issues.
- Communication: Excellent communication skills for customer service and collaborating with other teams.
- Education: A Bachelor's degree in a relevant field (e.G., Computer Science, IT, Engineering) or equivalent experience is often required
Cloud Automation Engineer
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Job Description
We are looking for a Mid-level Cloud Engineer with hands-on expertise in designing, automating, and operating production-grade cloud infrastructure. This role requires a strong background in AWS services, DevOps/DevSecOps practices, Infrastructure as Code, monitoring, and container orchestration. The engineer will be responsible for building resilient, secure, and scalable systems across multi-region environments.
Roles and Responsibilities:
- Design, deploy, and manage infrastructure using a broad set of AWS services including VPC, IAM, RDS, EC2, ECS, S3, Bedrock, CloudWatch, EFS, MQ, OpenSearch, ElastiCache, ECR, CodeArtifact, Lambda, Route53, CloudTrail, and ELB.
- Operate and scale multi-region, production-facing applications, ensuring high availability, fault tolerance, and DR readiness.
- Implement DevOps & DevSecOps practices with automation-first approaches for deployments, security, compliance, and monitoring.
- Manage Infrastructure as Code (IaC) using Terraform and Ansible.
- Leverage containerization & orchestration tools such as Docker, Docker Compose, and Kubernetes.
- Administer and optimize Linux systems (Ubuntu/Debian), focusing on performance, security, and automation.
- Build and maintain CI/CD pipelines with GitHub Actions (preferred) or Jenkins.
- Develop Python, Bash, and Shell scripts for automation, tooling, and system orchestration.
- Implement and manage network configurations including LAN, WAN, IPv4/IPv6, VPNs, site-to-site connectivity, and firewalls.
- Leverage monitoring and observability tools such as Grafana, AWS CloudWatch, and APM solutions (New Relic, Datadog – nice to have).
- Work with Airflow for workflow orchestration and data pipeline automation.
- Ensure compliance with SOC2 standards and manage cloud DR/backup strategies.
- Collaborate with cross-functional teams, providing technical guidance, troubleshooting, and performance optimization.
- Explore AI-assisted engineering tools (Codex, Cursor, GitHub Copilot) to improve development and automation efficiency.
Required Skills & Qualifications:
- 1-3 years of experience in DevOps, Cloud Engineering, or related fields.
- Proven track record of managing AWS services at scale in production environments.
- Expertise in Terraform, Ansible, and IaC practices.
- Strong Linux administration skills (Ubuntu/Debian preferred).
- Hands-on experience with Docker, Docker Compose, and Kubernetes for container orchestration.
- Proficiency in scripting languages (Python, Bash, Shell).
- Experience with CI/CD pipelines (GitHub Actions preferred).
- Knowledge of networking fundamentals (LAN, WAN, IPv4, IPv6, VPNs, Firewalls).
- Experience operating multi-node Elasticsearch & Kibana clusters.
- Strong problem-solving and troubleshooting abilities.
- Excellent communication and collaboration skills.
Nice to Have:
- Exposure to AI/ML-based productivity tools for DevOps workflows.
- Hands-on experience with APM tools such as New Relic or Sentry.
- Experience managing on-premise rack servers in hybrid environments.
Cloud Automation Engineer
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About the Company
We are a forward-thinking technology company dedicated to innovation and excellence in the field of cloud solutions and DevOps practices. Our mission is to empower organizations to achieve their goals through cutting-edge technology and a collaborative culture that values diversity and inclusion.
About the Role
The ideal candidate will have 5 to 8 years of experience in DevOps or Platform Engineering roles, with a strong focus on automation, cloud technologies, and CI/CD.
Responsibilities
- In-depth experience with Terraform for infrastructure as code (IaC) and automation
- Strong understanding of Kubernetes and container orchestration
- Practical experience with Docker and Containerized environments
- Proficiency in scripting languages like shell, Golang, or Python
- Hands-on experience with CI/CD tools preferably GitHub Actions, GitOps, and ArgoCD
- Familiarity with public cloud resources and services, particularly Google Cloud
- Excellent troubleshooting and problem-solving skills in production and testing environments
- Strong collaboration and communication skills for working across teams
- Demonstrated experience in successfully delivering Platform projects with a high degree of autonomy
Qualifications
- 5 to 8 years of experience in GCP DevOps or Platform Engineering roles
Required Skills
- Automation
- Cloud technologies
- CI/CD
- Terraform
- Kubernetes
- Docker
- Scripting languages (shell, Golang, Python)
- CI/CD tools (GitHub Actions, GitOps, ArgoCD)
- Public cloud resources (Google Cloud)
- Troubleshooting and problem-solving
- Collaboration and communication
Preferred Skills
- Experience with additional cloud platforms
- Knowledge of other container orchestration tools
Cloud Automation Engineer
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Job Description
Location: Pune | Chennai | Hyderabad | Gurgaon | Bhopal | Bangalore | Jaipur (Hybrid/On-site)
Cloud Automation Engineer
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Job Description
About Company: Our Client Corporation provides digital engineering and technology services to Forbes Global 2000 companies worldwide. Our Engineering First approach ensures we can execute all ideas and creatively solve pressing business challenges. With industry expertise and empowered agile teams, we prioritize execution early in the process for impactful results. We combine logic, creativity and curiosity to build, solve, and create. Every day, we help clients engage with new technology paradigms, creatively building solutions that solve their most pressing business challenges and move them to the forefront of their industry.
Job Title : GCP Foundational Engineer
Key Skills : GCP Cloud, Terraform
Job Locations : Bengaluru ,
Experience : 6 years
Education Qualification : Any Degree Graduation
Work Mode : Hybird
Employment Type : Contract
Notice Period : Immediate - 10 Days
Job description:
Job description
JD
Role GCP Foundational Engineer
Must skills
Terraform developer capable of independently scripting and developing Terraform modules to deploy public cloud components and services
Candidate should be an expert in “Terraform Infrastructure provisioning”
Skills
Mandatory Skills : Cloud Solution Architecture,Cloud Architecture,Enterprise Cloud Architecture
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Cloud Automation Engineer
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Experience : 2 - 5 Years
Mandatory Skills : DevOps skills, VMWare virtualizations, Cloud- AWS and Azure, CI/CD pipeline, terraform(infra as a code), knowledge of Kubernetes
Job Description:
- Strong VMware Vsphere/Vcenter
- Strong knowledge of hypervisor technology
- Strong knowledge of physical hardware
- Good knowledge of cloud technologies like Azure/AWS
- Good knowledge of Terraform (IaC)
- Good knowledge of docker/kubernetes
- Good knowledge of operating systems like Windows/RedHat
- Good knowledge of CI/CD Pipeline: Jenkins, Gitlab
Interested candidates please share your resume with
Cloud Automation Engineer
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Job Description
About SIDGS:
SIDGS is a premium global systems integrator and global implementation partner of Google corporation, providing Digital Solutions & Services to Fortune 500 companies. Our Digital solutions go across following domains: User Experience, CMS, API Management, Microservices, DevOps, Cloud, Service Mesh, Artificial Intelligence, RPA domains.
We create innovative solutions in Digital, API Management, Cloud and DevOps space in partnership with multiple cloud platforms. We understand that every business has a unique set of challenges and opportunities, and we leverage our unique industry insights, honed through decades of combined experience in the technology sector, to deliver the products, solutions, and services necessary to achieve best customer satisfaction and delivering positive impact to the communities.
Job Description:
ob Title: Cloud Engineer – Workflow Orchestration (Temporal / Cloud)
Experience: 10+ years
Location: Mumbai
Role Overview:
We are looking for an experienced Cloud Engineer with expertise in workflow orchestration using Temporal (or equivalent systems). The role involves designing, implementing, and maintaining reliable, scalable, and fault-tolerant workflows across GCP and AWS environments .
Key Responsibilities:
- Design, develop, and maintain Temporal workflows to automate complex business processes.
- Integrate workflows with microservices and event-driven systems .
- Ensure scalability, reliability, and fault tolerance of workflow infrastructure.
- Monitor, debug, and optimize workflow executions for performance and cost efficiency.
- Develop and maintain best practices, templates, and reusable patterns for workflow design.
- Collaborate with application and DevOps teams to align workflows with overall system architecture.
Required Skills & Experience:
- 10+ years of experience in Cloud Engineering or related roles.
- Proven experience with Temporal , Cadence , or similar workflow orchestration frameworks.
- Strong hands-on expertise in GCP and AWS services (compute, storage, networking, IAM, etc.).
- Experience working with event-driven architectures , message queues (e.G., Pub/Sub, Kafka, SQS), and microservices .
- Solid understanding of distributed systems , observability , and debugging complex workflows.
- Experience with CI/CD , infrastructure as code , and containerization (Docker/Kubernetes) is a plus.
Cloud Automation Engineer
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About McDonald’s:
One of the world’s largest employers with locations in more than 100 countries, McDonald’s Corporation has corporate opportunities in Hyderabad. Our global offices serve as dynamic innovation and operations hubs, designed to expand McDonald's global talent base and in-house expertise. Our new office in Hyderabad will bring together knowledge across business, technology, analytics, and AI, accelerating our ability to deliver impactful solutions for the business and our customers across the globe.
Cloud Engineer II
Full-time
McDonald's Office Location: Hyderabad
Global Grade: G3
Job Description:
This opportunity is part of the Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald’s works. We provide outstanding foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It’s our goal to always provide an engaging, relevant, and simple experience for our customers.
The Cloud DevOps Engineer II role is part of the Cloud Infrastructure and Operations team in Global Technology Infrastructure & Operations. The role reports to the Director of Cloud DevOps and is responsible for supporting, migrating, automation and optimization of software development and deployment process specifically for Google Cloud. The Cloud DevOps Engineer II will work closely with software developers, cloud architects, operations engineers, and other stakeholders to ensure that the software delivery process is efficient, secure, and scalable. You will support the Corporate, Cloud Security, Cloud Platform, Digital, Data, Restaurant, and Market application and product teams by efficiently and optimally delivering DevOps standards and services.
This is a great opportunity for an experienced technology leader to help craft the transformation of infrastructure and operations products and services to the entire McDonalds environment.
Responsibilities & Accountabilities:
- Participate in the management, design, and solutioning of platform deployment and operational processes.
- Provide direction and guidance to vendors partnering on DevOps tools standardization and engineering support.
- Configure and deploy reusable pipeline templates for automated deployment of cloud infrastructure and code.
- Proactively identify opportunities for continuous improvement
- Research, analyze, design, develop and support high-quality automation workflows inside and outside the cloud platform that are appropriate for business and technology strategies.
- Develop and maintain infrastructure and tools that support the software development and deployment process.
- Automate the software development and deployment process.
- Monitor and troubleshoot the software delivery process.
- Work with software developers and operations engineers to improve the software delivery process.
- Stay up to date on the latest DevOps practices and technologies.
- Drive proof of concepts and conduct technical feasibility studies for business requirements.
- Strive to provide internal and external customers with excellent customer service and world-class service.
- Effectively communicate project health, risks, and issues to the program partners, sponsors, and management teams.
- Resolve most conflicts between timeline, budget, and scope independently but intuitively raise complex or consequential issues to senior management.
- Implement and support monitoring best practices
- Respond to platform and operational incidents and effectively troubleshoot and resolve issues
- Work well in an agile environment
Qualifications:
- Bachelor’s degree in computer science or a related field or relevant experience.
- 5+ years of Information Technology experience for a large technology company, preferably in a platform team.
- 4+ years hands-on Cloud DevOps pipeline for automating, building, and deploying microservice applications, APIs, and non-container artifacts.
- 3+ years working with Cloud technologies with good knowledge of IaaS and PaaS offerings in AWS & GCP.
- 3+ years GitHub, Jenkins, GitHub Actions, ArgoCD, Helm Charts, Harness and Artifactory or similar DevOps CI/CD tools.
- 3+ years of application development using agile methodology.
- Experience with observability tools like Datadog, New Relic and open source (O11y) observability ecosystem (Prometheus, Grafana, Jaeger)
- Hands-on knowledge of an Infrastructure-as-Code and associated technologies (e.G., repos, pipelines, Terraform, etc.)
- Advanced knowledge of "AWS" Platform preferably 3+ years AWS / Kubernetes experience or container-based technology.
- It is good to have experience in working on Code Quality SAST and DAST tools like SonarQube / Sonar Cloud, Veracode, Checkmarx, and Snyk.
- Experience developing scripts or automating tasks using languages such as Bash, PowerShell, Python, Perl, Ruby, etc.
- Self-starter, able to come up with solutions to problems and complete those solutions while coordinating with other teams.
- Knowledge of foundational cloud security principles
- Excellent problem-solving and analytical skills
- Strong communication and partnership skills
- Any GCP Certification.
- Any Agile certification preferably scaled agile.