Cloud Architect

4 days ago

Bengaluru, Karnataka, India DeepRunner AI Full time
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 with Prometheus, Grafana, and ELK stack.
  • 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 and implementing scalable, resilient, and highly available 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 practices 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 (e.g., 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 and 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: This role can also be based in Athens or the San Francisco Bay Area

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