Senior Cloud System Engineer

N. Harris Computer Corporation - CAD

India

On-site

INR 1,500,000 - 3,000,000

Full time

2 days ago
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Job summary

N. Harris Computer Corporation - CAD is seeking an experienced Cloud Engineer to lead onboarding, deployment, and automation of secure cloud infrastructure across AWS, Azure, and GCP.

You will drive complex migrations of healthcare workloads and guide projects from design to deployment, ensuring high availability and security standards. Ideal candidates bring 5+ years in cloud engineering, strong scripting skills, and the ability to coordinate with project teams to deliver on time.

Qualifications

  • 5+ years of hands-on cloud engineering or advanced systems administration.
  • Deep knowledge of at least one major public cloud (AWS, Azure, or GCP) with ability to architect and troubleshoot across all three.
  • Expert-level background in core IT operations: networking, IAM, and Linux/Windows admin.
  • Advanced scripting and automation; building infrastructure automation pipelines.
  • Cloud certifications in AWS, Azure, or GCP preferred.

Responsibilities

  • Lead onboarding, build, configuration, and deployment of cloud infrastructure across AWS, Azure, and GCP.
  • Drive and execute cloud migrations of healthcare workloads to modern cloud architectures.
  • Own technical milestones for Professional Services engagements; ensure timely, quality delivery.
  • Architect and implement IaC solutions using Terraform or cloud templates for repeatable environments.
  • Ensure deployments comply with healthcare frameworks and internal security standards.
  • Create documentation and mentor teams for smooth handoffs.

Skills

Cloud engineering
IaC
Networking
Scripting (Python, Bash, PowerShell)
Windows & Linux admin
Project coordination

Tools

Terraform
AWS
Azure
GCP

Job description

Core Responsibilities
  • Advanced Infrastructure Deployment: Lead the onboarding, build, configuration, and deployment of secure, cost efficient, performant, and high-availability cloud infrastructure across AWS, Azure, and Google Cloud Platform and onto our platform tooling.
  • Migration Leadership: Drive and execute complex cloud migrations, moving mission-critical healthcare workloads from legacy environments into modern cloud architectures.
  • Project Delivery and Technical Guidance: Own the technical milestones for Professional Services engagements, ensuring work is delivered on time, matches the architectural design, and sets a standard for quality.
  • Automation and Tooling: Architect and implement Infrastructure as Code (IaC) solutions using tools like Terraform or native cloud templates to build highly repeatable and scalable environments.
  • Compliance Adherence: Ensure all cloud deployments strictly follow healthcare compliance frameworks and our internal security standards.
  • Handoff, Documentation, and Mentorship: Create comprehensive technical documentation and provide guidance to ensure smooth operational transitions to our frontline teams.
Required Qualifications
  • Experience: 5+ years of hands-on cloud engineering or advanced systems administration experience. It is important we stress this experience requirement because these are our frontline folks supporting our healthcare managed services.
  • Cloud Expertise: Deep, practical knowledge of at least one major public cloud (AWS, Azure, or GCP) with a strong ability and willingness to architect and troubleshoot across all three.
  • Technical Foundation: Expert-level background in core IT operations, including complex networking, identity and access management, and advanced operating system administration for both Linux and Windows.
  • Scripting and Automation: Advanced proficiency in scripting (such as Python, Bash, or PowerShell) and building infrastructure automation pipelines.
  • Cross Functional Collaboration: Proven ability to work alongside project managers, providing clear technical updates, realistic timeline estimates, and strategic input on client calls.
  • Certifications: Professional level certifications in AWS, Azure, or GCP are strongly preferred.
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