Infrastructure Architect

Purpose of the Role

Design implement and maintain secure scalable and cost-effective cloud infrastructure. This role ensures long-term cloud sustainability through FinOps cost optimization automation and resilient architectures that support business growth reliability and operational efficiency.

Key Responsibilities

• Design and implement scalable secure cost-efficient cloud infrastructure.
• Lead cloud cost-optimization using FinOps principles and long-term commitments.
• Architect cloud solutions for sustainability and economies of scale.
• Configure and manage compute networking storage and monitoring tools.
• Automate provisioning deployment and maintenance using IaC.
• Work closely with DevOps and Engineering to ensure performance and high availability.
• Monitor infrastructure health optimize resource usage and resolve performance issues.
• Implement strong cloud security encryption and compliance standards.
• Evaluate and recommend new cloud services and technologies.

Minimum Requirements

• Bachelors degree in Computer Science / Information Technology / or related field.
• 7 years in infrastructure engineering or similar roles.
• 35 years handson experience designing and managing secure scalable cloud environments (AWS Azure or GCP).
• Strong understanding of cloud architecture networking security and FinOps.
• Experience with Infrastructure as Code (e.g. Terraform CloudFormation ARM/Bicep).
• Relevant certifications beneficial (AWS Solutions Architect Azure Architect FinOps Certified Practitioner).
• Strong analytical problemsolving communication and collaboration skills.

Key Performance Measures

• Cloud Cost Efficiency: Savings via rightsizing Reserved Instances/Savings Plans and FinOps reporting.
• Scalability & Elasticity: Ability to scale environments with minimal manual intervention.
• Security & Compliance: Effective implementation of security controls and audit readiness.
• System Uptime: Meeting or exceeding cloud uptime SLAs.
• Incident Response (MTTR): Speed and effectiveness in detecting and resolving incidents.
• Automation: Level of automation improving deployment velocity and reducing manual tasks.
• Resource Utilization: Efficient CPU memory storage and network usage.
• Disaster Recovery Readiness: Achieving target RPO/RTO and successful DR test results.
• 360 Internal Feedback: Collaboration and stakeholder satisfaction across teams.