Professional Experience

Sovereign Technology & Innovation Ltd | DevOps Engineer

August 2024 – Present

  • Architected resilient, highly available cloud environments in AWS, achieving 99.99% uptime and reducing operational costs by 20% through automated scaling, resource right-sizing, and spot instance utilization.
  • Led end-to-end infrastructure automation with Terraform and CloudFormation, reducing environment provisioning time by 40% and eliminating configuration drift.
  • Orchestrated the migration of legacy on-premise systems to a secure AWS hybrid architecture via site-to-site VPNs and IAM federation, cutting maintenance overhead by 30%.
  • Integrated Prometheus, Grafana, and CloudWatch to establish a real-time monitoring framework, resulting in a 55% reduction in Mean Time to Detect (MTTD) incidents.
  • Collaborated with security and compliance teams to embed encryption at rest and in transit across cloud assets, maintaining GDPR-aligned governance.
AWS Terraform CloudFormation Prometheus Grafana CloudWatch

Help.NGO | DevOps Engineer (Remote)

December 2023 – Present

  • Automated infrastructure provisioning for multi-region AWS deployments using modularized Terraform codebases, achieving a 35% faster deployment cycle and consistent configuration integrity.
  • Designed secure VPC architectures with IAM hardening, encrypted endpoints, and private subnets, leading to 100% compliance with internal cybersecurity audits.
  • Spearheaded a cloud cost optimization program through proactive tagging policies, reserved instance purchasing, and anomaly detection via CloudWatch, realizing a 25% reduction in operational cloud spend.
  • Implemented centralized logging, custom metric alarms, and alerting pipelines with CloudWatch Logs and SNS, improving incident response times by 40%.
AWS Terraform CloudWatch SNS

Freelance Cloud Architect | Contract Roles

May 2021 – Present

  • Engineered cross-cloud failover and disaster recovery solutions across AWS and GCP, ensuring continuous operations during planned maintenance and unexpected outages, maintaining 99.99% SLA adherence.
  • Developed and deployed scalable machine learning inference pipelines leveraging SageMaker, CloudFormation, and GitHub Actions, enabling real-time autoscaling based on dynamic workload demand.
  • Built production-grade CI/CD pipelines incorporating canary deployments, caching strategies, and security scanning (CodeQL), resulting in a 50% increase in deployment velocity and a 30% reduction in rollback incidents.
  • Conducted proactive infrastructure audits using Prometheus and Grafana, identifying idle resources and right-sizing opportunities that led to monthly cloud savings of up to 30%.
AWS GCP SageMaker GitHub Actions Prometheus Grafana