Cloud Architect

Key Responsibilities

• Design and implement

  scalable, resilient, and cost-effective cloud architectures

  across AWS, Azure, and GCP.
• Lead

  Infrastructure-as-Code

  initiatives using Terraform, CloudFormation, and ARM templates.
• Architect and manage

  containerized environments

  with Docker and Kubernetes at enterprise scale.
• Build

  secure cloud networking solutions

  (VPCs, load balancers, firewalls, segmentation).
• Drive

  DevOps best practices

  , including CI/CD pipelines and automated deployment strategies.
• Establish and maintain

  cloud security frameworks

  aligned with SOC 2, GDPR, and industry standards.
• Optimize cloud spend through

  resource management, rightsizing, and automation tools

  .
• Design and implement

  data lake and big data architectures

  to support AI/ML workloads.
• Develop

  monitoring, logging, and observability frameworks

  (Prometheus, Grafana, ELK).
• Partner with engineering teams to

  define technical requirements

  and guide architectural decisions.
• Lead

  disaster recovery and business continuity

  planning for mission-critical systems.
• Stay ahead of

  emerging cloud technologies

  and assess their business impact.

Requirements

Essential Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related technical field.
• 8+ years of experience in

  cloud architecture, design, and implementation

  .
• Deep expertise in

  one or more cloud platforms (AWS, Azure, GCP)

  .
• Proven track record designing

  highly available and scalable solutions

  .
• Strong knowledge of

  cloud networking

  (VPC, load balancing, firewalls).
• Hands-on experience with

  IaC tools

  (Terraform, CloudFormation, ARM).
• Proficiency in

  containerization (Docker)

  , orchestration (

  Kubernetes

  ), and serverless technologies.
• Solid background in

  DevOps

  and

  cloud cost optimization

  .
• Knowledge of

  cloud security & compliance standards

  (SOC 2, GDPR).
• Experience with

  data lakes and big data technologies

  in the cloud.
• Familiarity with

  monitoring and logging tools

  (Prometheus, Grafana, ELK).
• Excellent

  communication and collaboration skills

  .

Preferred Qualifications

• Master’s degree in Computer Science, Engineering, or related field.

• Multiple cloud certifications

  (AWS Solutions Architect Pro, Azure Architect Expert, GCP Professional Architect).
• Experience with

  AI/ML infrastructure and MLOps pipelines

  .
• Advanced knowledge of

  microservices architecture

  and service mesh (Istio, Envoy, Helm).
• Experience with

  multi-cloud, hybrid cloud architectures

  , and enterprise migrations.
• Knowledge of advanced security practices (

  Zero-Trust, PCI-DSS, HIPAA

  ).
• Experience leading technical teams, mentoring engineers, and managing

  cloud budgets > $1M

  .
• Exposure to

  chaos engineering, edge computing, and CDN architectures

  .
• Previous experience in a

  startup or high-growth technology company

  .

Work Location: