Experience

DevOps and SRE delivery across hybrid AWS/GCP environments: platform resilience, GitOps-style deployments, DevSecOps guardrails, and observability-led incident response for global client operations.

• Architected and optimised high-availability hybrid cloud infrastructure (AWS/GCP) for global client operations, improving system resilience and reducing latency by ~35% for distributed end-users.
• Spearheaded modernisation of CI/CD workflows using GitHub Actions and Argo CD, achieving ~99.9% success rate for automated deployments across production and staging.
• Implemented a DevSecOps framework aligned with financial and data privacy standards (GDPR), integrating automated vulnerability scanning (Trivy, Checkov) that reduced critical security risks by ~50%.
• Engineered a self-healing Kubernetes platform with custom Prometheus/Grafana monitoring and alerting rules, cutting mean time to recovery (MTTR) for infrastructure incidents by ~40%.
• Pioneered AI-assisted operational tools for log analysis and incident triage, streamlining root cause analysis and enhancing team productivity by ~25%.

Advised on secure, compliant, and resilient AWS environments supporting humanitarian mapping operations, with emphasis on data protection and operational continuity in sensitive contexts.

• Advised on secure AWS environments for humanitarian operations, ensuring data protection and operational continuity in sensitive contexts.
• Guided teams on Terraform-driven infrastructure-as-code standardisation and GitHub Actions automation for consistent, repeatable deployments.
• Strengthened observability and data-protection frameworks aligned with GDPR and humanitarian standards.
• Supported documentation and risk analysis for cloud deployments in high-stakes operational environments.

Architected and operated a production-grade financial services platform on AWS, designed for resilience, automation, and PCI-DSS–aligned controls.

• Designed multi-node Amazon EKS clusters with secure networking, autoscaling, and Istio-based service mesh to sustain ~99.95% uptime targets.
• Built Terraform modules and GitHub Actions pipelines enabling consistent, repeatable deployments across blue/green style environments.
• Implemented Checkov, OPA, and AWS Config for policy-as-code validation and continuous compliance, supporting PCI-DSS requirements.
• Delivered FinOps dashboards and cost analysis tooling using AWS Lambda and Cost Explorer APIs, reducing operational expenditure by ~30%.
• Implemented observability baselines using Prometheus, Grafana, and Amazon CloudWatch, improving incident visibility and reducing MTTR from ~45 minutes to under 15 minutes.

Strengthened platform reliability and automated cloud operations across AWS for distributed internal services, with a focus on observability, playbooks, and hardened Linux and container estates.

• Automated builds, deployments, and environment provisioning using CI/CD pipelines and infrastructure as code, reducing manual effort by ~60%.
• Rebuilt infrastructure into modular Terraform platform components, eliminating configuration drift and enabling consistent environment creation.
• Delivered CloudWatch dashboards, golden-signal metrics, and centralised log pipelines, improving service visibility and operational reliability by ~45%.
• Enhanced alerting, incident response, and troubleshooting workflows, cutting MTTR by ~40% and standardising recovery playbooks.
• Operated and hardened Linux-based production environments across EC2 instances and Kubernetes container hosts.

Delivered cloud architecture and automation across fintech, healthtech, and enterprise projects—multi-cloud reliability, GitOps frameworks, DevSecOps pipelines, and FinOps savings.

• Designed multi-cloud, highly available workloads using load balancing, autoscaling, and replication strategies achieving ~99.9% uptime outcomes.
• Built internal Terraform and Argo CD frameworks that reduced provisioning time by ~60%.
• Implemented DevSecOps pipelines with vulnerability scanning, drift detection, and automated rollback logic.
• Introduced FinOps cost optimisation workflows saving clients approximately £3,000–£5,000 per month.