Director Infrastructure & Cloud Engineering

Job Title: Director – Infrastructure & Cloud Engineering
Location: Hyderabad
Experience: 18+ Years
Leadership Experience: 5+ Years in Director-level Engineering Leadership
Industry: SaaS / B2B Software / Cloud Product Company

Important Candidate Requirement

Candidates must have significant experience working for SaaS, cloud software, or technology product companies.

Role Overview

We are looking for a senior Infrastructure / Cloud Engineering leader to own and scale infrastructure platforms supporting a large-scale SaaS product environment.

The ideal candidate will bring deep hands-on expertise in cloud infrastructure, AWS, VMware, hybrid cloud architectures, infrastructure automation, networking, virtualization, storage, and distributed systems, combined with strong engineering leadership experience.

This is a senior technical leadership position requiring experience building and operating reliable, scalable infrastructure for a product/SaaS business, not a services delivery environment.

Key Responsibilities

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  Lead infrastructure, cloud, and platform engineering teams supporting large-scale SaaS environments.

  
  


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  Define and execute infrastructure and cloud strategy aligned with product and business growth.

  
  


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  Architect and operate highly available, scalable, secure, and resilient infrastructure platforms.

  
  


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  Drive AWS cloud architecture and hybrid-cloud environments.

  
  


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  Lead VMware-based virtualization and integration with cloud infrastructure.

  
  


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  Own infrastructure automation, Infrastructure-as-Code, and platform engineering initiatives.

  
  


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  Improve reliability, scalability, performance, availability, and operational efficiency.

  
  


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  Lead architecture and engineering decisions across networking, compute, storage, virtualization, and distributed systems.

  
  


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  Establish automation and self-service capabilities for engineering teams.

  
  


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  Drive modernization of infrastructure platforms and reduce manual operational dependencies.

  
  


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  Partner closely with application/product engineering, security, DevOps, SRE, and other technical teams.

  
  


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  Build engineering standards around monitoring, incident management, capacity planning, disaster recovery, and business continuity.

  
  


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  Mentor and develop senior engineering managers and infrastructure engineers.

  
  


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  Identify opportunities to use AI tools to improve engineering productivity, automation, troubleshooting, documentation, and operational processes.

  
  


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  Champion responsible adoption of AI-powered engineering tools across infrastructure and platform teams.

  
  

Mandatory Requirements

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  18+ years of experience in Infrastructure Engineering, Cloud Engineering, Platform Engineering, Systems Engineering, or related areas.

  
  


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  5+ years of engineering leadership experience at Director level or equivalent, managing infrastructure/cloud/platform engineering teams.

  
  


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  Strong experience working within SaaS / cloud software / technology product companies.

  
  


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  Deep expertise with AWS services and cloud infrastructure.

  
  


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  Strong experience with VMware and hybrid-cloud architectures.

  
  


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  Strong understanding of:

  
  
  
  
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    Networking

    
    
  
  
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    Virtualization

    
    
  
  
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    Compute

    
    
  
  
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    Storage

    
    
  
  
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    Distributed systems

    
    
  
  
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    High availability

    
    
  
  
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    Scalability

    
    
  
  
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    Disaster recovery

    
    
  
  
  
  


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  Proven experience implementing Infrastructure-as-Code (IaC) and infrastructure automation.

  
  


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  Experience operating infrastructure platforms supporting large-scale SaaS products/environments.

  
  


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  Strong understanding of infrastructure reliability, monitoring, performance, security, and operational excellence.

  
  


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  Demonstrated ability to use AI tools as a force multiplier for engineering productivity and operational efficiency.

  
  


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  Ability to advocate and drive adoption of AI tools across engineering teams.

  
  


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  Strong communication, stakeholder management, architecture, and technical leadership skills.

  
  

Preferred Experience

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  AWS infrastructure at significant scale.

  
  


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  Terraform or other Infrastructure-as-Code technologies.

  
  


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  Kubernetes/containerized infrastructure.

  
  


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  CI/CD and DevOps/SRE practices.

  
  


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  Observability and monitoring platforms.

  
  


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  Multi-region / highly available SaaS infrastructure.

  
  


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  Cloud migration and hybrid-cloud transformation.

  
  


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  Experience supporting high-volume, business-critical SaaS platforms.