Senior Cloud Engineer

Stackular; Hyderabad; On-site; INR 1,500,000 - 3,000,000; Full time

Job summary

Stackular in India is seeking a hands-on Senior Cloud Engineer to design, automate, and manage cloud infrastructure and deployment pipelines. The ideal candidate has strong expertise in Azure/AWS, Infrastructure as Code, Kubernetes, CI/CD automation, and cloud security, and will support engineering teams in delivering reliable, scalable solutions.

You will implement DevSecOps practices, use AI-assisted tooling, and contribute to AI/ML infrastructure.

Qualifications

• Bachelor's degree in Computer Science, Engineering, IT, or related field.
• 4–7+ years of experience in Cloud Engineering, DevOps, or Platform Engineering.
• Strong hands-on experience withTerraform, Ansible, CI/CD, and Kubernetes.
• Experience managing cloudinfrastructure on Azure and/or AWS.
• Strong troubleshooting andproblem-solving skills.
• Excellent communication andcollaboration abilities.

Responsibilities

• Design, deploy, and manage cloudinfrastructure on Azure (Preferred) and/or AWS.
• Build and maintain CI/CDpipelines and deployment automation.
• Implement Infrastructure as Codeusing Terraform, Pulumi, and Ansible.
• Manage Kubernetes clusters,Docker containers, and deployment strategies.
• Develop automation tools,scripts, and reusable infrastructure modules.
• Monitor, troubleshoot, andoptimize cloud environments for performance, reliability, and cost.
• Implement DevSecOps bestpractices and security controls.
• Utilize AI tools to improveautomation, troubleshooting, documentation, and operational efficiency.
• Support infrastructurerequirements for AI/ML, Generative AI, and LLM-based applications.

Skills

Go

Python

Java

Shell scripting

Terraform

Ansible

CloudFormation

Bicep

EC2

S3

RDS

IAM

VPC

Lambda

CloudWatch

Git

GitHub

GitLab

Bitbucket

Education

Bachelor's degree in Computer Science, Engineering, IT, or related field

Tools

Terraform

Ansible

CloudFormation

Bicep

Job description

A different kind of consulting company that delivers offshore and nearshore product development, user experience, app modernization, business intelligence, and business apps services.

Job Description

About the Role

We arelooking for a hands-on Senior Cloud Engineer to design, automate, and managecloud infrastructure and deployment pipelines. The ideal candidate will havestrong expertise in Azure/AWS, Infrastructure as Code, Kubernetes, CI/CDautomation, and cloud security while supporting engineering teams in deliveringreliable and scalable solutions.

KeyResponsibilities

• Design, deploy, and manage cloudinfrastructure on Azure (Preferred) and/or AWS.
  
• Build and maintain CI/CDpipelines and deployment automation.
  
• Implement Infrastructure as Codeusing Terraform, Pulumi, and Ansible.
  
• Manage Kubernetes clusters,Docker containers, and deployment strategies.
  
• Develop automation tools,scripts, and reusable infrastructure modules.
  
• Monitor, troubleshoot, andoptimize cloud environments for performance, reliability, and cost.
  
• Implement DevSecOps bestpractices and security controls.
  
• Utilize AI tools to improveautomation, troubleshooting, documentation, and operational efficiency.
  
• Support infrastructurerequirements for AI/ML, Generative AI, and LLM-based applications.
  

RequiredTechnical Skills

Programming& Automation

• Go (Golang), Python, Java, ShellScripting (Bash)
  

InfrastructureAutomation

• Terraform (Mandatory)
  
• Ansible (Mandatory)
  
• CloudFormation / Bicep
  

CloudPlatforms

• EC2, S3, RDS, IAM, VPC, Lambda,CloudWatch
  

DevOps& Containers

• Git, GitHub, GitLab, Bitbucket
  

Monitoring& Observability

RequiredQualifications

• Bachelor's degree in ComputerScience, Engineering, IT, or related field.
  
• 4–7+ years of experience in CloudEngineering, DevOps, or Platform Engineering.
  
• Strong hands-on experience withTerraform, Ansible, CI/CD, and Kubernetes.
  
• Experience managing cloudinfrastructure on Azure and/or AWS.
  
• Strong troubleshooting andproblem-solving skills.
  
• Excellent communication andcollaboration abilities.
  

PreferredCertifications

• AWS SysOps AdministratorAssociate
  
• HashiCorp Terraform Associate

Nice toHave

• Experience with AI/MLinfrastructure and MLOps.
  
• Experience supporting LLMs, AIAgents, and Generative AI applications.
  
• Knowledge of vector databases andGPU infrastructure.
  
• Experience working in SOC2 andHIPAA-compliant environments.