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Cynosure Corporate Solutions

Enterprise Cloud Engineer – L1

Chennai, INIn sedeIndeterminatoTempo pieno

Pubblicato il 30 set 2026

Questa offerta è pubblicata in EN

We are looking for an Enterprise Cloud Engineer to manage, monitor, automate, and optimize AWS and Azure cloud infrastructure in a commercial environment. The role involves cloud operations, infrastructure automation, monitoring, security, performance management, capacity planning, and cloud migration while supporting both cloud and on-premise environments.

Key Responsibilities:
  • Provision, deploy, configure, and monitor AWS and Azure cloud environments.
  • Automate infrastructure using Terraform, CloudFormation, Python, Docker, Salt, and Puppet.
  • Architect and manage AWS and Azure virtual machines following cloud best practices.
  • Install, configure, and maintain operating systems, databases, applications, and development environments.
  • Monitor infrastructure and application performance using tools such as AWS CloudWatch, Nagios, New Relic, Grafana, PRTG, and SolarWinds.
  • Identify performance bottlenecks and implement infrastructure improvements.
  • Plan resource scaling and implement auto-scaling solutions based on workload requirements.
  • Monitor cloud infrastructure costs and identify cost optimization opportunities.
  • Manage users, policies, and cloud security controls.
  • Design and support public/private cloud migration solutions.
  • Support on-premise to cloud migration projects and infrastructure modernization.
  • Manage infrastructure capacity, availability, utilization, and expansion requirements.
  • Provision, maintain, and monitor MSSQL and MySQL databases.
  • Manage Microsoft infrastructure services including Active Directory, DNS, DHCP, Azure AD, and Azure AD Connect.
  • Support web applications, middleware platforms, and infrastructure services.
  • Develop support processes, work plans, risk management plans, and technical schedules.
  • Collaborate with infrastructure, network, database, application, and service teams.
  • Participate in on-call support and resolve infrastructure issues when required.


Requirements

  • 4–7 years of experience in Cloud Infrastructure, Cloud Engineering, DevOps, or Infrastructure Administration.
  • Strong hands-on experience managing both AWS and Azure cloud environments.
  • Experience with on-premise to cloud migration projects.
  • Strong scripting skills in Python, Shell, and PowerShell.
  • Experience with Terraform and/or CloudFormation.
  • Good knowledge of virtualization, high availability, performance tuning, and capacity planning.
  • Experience with cloud monitoring and observability tools such as CloudWatch, Nagios, New Relic, or Grafana.
  • Knowledge of AWS/Azure scaling, web services, database services, and caching infrastructure.
  • Experience with MSSQL and MySQL provisioning, maintenance, and monitoring.
  • Strong knowledge of Microsoft infrastructure services including Active Directory, DNS, DHCP, Azure AD, and Azure AD Connect.
  • Understanding of web applications and middleware such as Tomcat and Python frameworks.
  • Knowledge of server, storage, and data centre infrastructure.
  • Understanding of Agile and Waterfall methodologies.
  • Strong troubleshooting, communication, presentation, and collaboration skills.

Certifications:
Required: AWS Certified Solutions Architect
Desirable: Red Hat Certification
Desirable: MCSE – Cloud Platform and Infrastructure

Informazioni ruolo

Tipo di lavoro

Tempo pieno

Skill richieste

AWS Cloud ManagementAzure Cloud ManagementInfrastructure as Code - TerraformInfrastructure as Code - CloudFormationPython scriptingShell scriptingPowerShell scriptingContainerization with DockerConfiguration management (Salt / Puppet)Cloud monitoring and observability (CloudWatch, Nagios, New Relic, Grafana, PRTG, SolarWinds)Database administration (MSSQL and MySQL provisioning and maintenance)Microsoft infrastructure services (Active Directory, DNS, DHCP, Azure AD, Azure AD Connect)Cloud migration (on-premise to cloud)Capacity planning, performance tuning, and auto-scaling

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