
Cloud Systems Designer
16 hours ago
The ideal candidate will have experience in designing and implementing scalable, resilient, and cost-effective cloud architectures across multiple platforms.
- 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:
- A degree in Computer Science, Engineering, or a related 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.
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