Delivery Leadership · AI Automation · Data Centre · Platform Impact

💼 Experience & Impact — DevOps, AI Automation, Data Centre

16+ years delivering measurable outcomes: faster releases, stronger reliability, and safer platforms with practical AI implementation and fair AI usage standards.

Open to senior platform, DevOps, and reliability roles

16+Years in DevOps & Platform Eng.

40%Faster deployment cycles

60%MTTR reduction achieved

35%Cloud cost savings delivered

Professional Snapshot

I operate at the intersection of platform engineering, delivery enablement, and operational reliability — helping organisations modernise infrastructure while improving engineering throughput, governance, and production confidence.

Platform Leadership Define standards for Kubernetes, CI/CD, observability, and cloud operating models

Delivery Acceleration Reduce release friction through automation, reusable templates, and developer self-service

Operational Excellence Strengthen reliability with SRE practices, incident readiness, and measurable service outcomes

Shift-Left Security Embed SonarQube, Trivy, Snyk, Checkov, and Vault into CI/CD pipelines for early vulnerability detection and supply-chain integrity

AI Implementation & Governance Drive AI automation in day-to-day engineering delivery while enforcing fair usage, review checkpoints, and business-aligned adoption standards

Business Outcome: Faster delivery cycles with measurable deployment reliability improvements.
Business Outcome: More stable platforms through proactive reliability and operational controls.
Business Outcome: Stronger engineering productivity through reusable platform foundations.

Best Fit Roles

Best aligned with senior individual contributor and technical leadership roles where platform quality, cloud reliability, automation maturity, and cross-functional execution directly influence engineering performance.

Senior DevOps Engineer Platform Engineer Site Reliability Engineer Cloud Platform Lead DevSecOps Engineer AI Automation Engineer Data Center Specialist Infrastructure Automation Engineer Staff / Principal Platform IC

Business Outcome: Enables teams to ship faster with lower operational risk.
Business Outcome: Improves uptime and incident response through mature SRE practices.
Business Outcome: Reduces platform cost and complexity with automation-first delivery models.

Strong fit for organisations modernising delivery practices, upgrading data center operations, scaling Kubernetes adoption, strengthening observability, or standardising multi-cloud operations.

Career Timeline

🌟 Senior DevOps & Platform Engineer

2020 – Present

Led platform modernisation, introduced GitOps-based deployment workflows, standardised CI/CD templates across 12+ services, and improved release confidence through progressive delivery gates. Drove OpenShift adoption and multi-cloud Kubernetes operations. Embedded DevSecOps practices including SonarQube SAST gates, Trivy container scanning, Snyk dependency checks, Checkov IaC policy enforcement, and HashiCorp Vault secret management across all delivery pipelines.

Business Outcome: Accelerated release cadence with improved reliability, security posture, and governance at scale.

☁️ Cloud Platform Engineer

2016 – 2020

Designed multi-account AWS landing zones, codified infrastructure with Terraform, and scaled Kubernetes workloads from pilot to production serving thousands of concurrent users. Built reusable module libraries adopted across 5 teams.

Business Outcome: Improved time-to-market through reusable infrastructure and platform standardisation.

⚙️ Infrastructure Engineer

2010 – 2016

Built foundational automation with Ansible, established monitoring with Prometheus and Grafana, and reduced mean time to recovery by 60% through runbook automation and on-call tooling improvements.

Business Outcome: Reduced incident impact and recovery time through automation and observability maturity.

🖥️ Systems Administrator

2007 – 2010

Managed Linux and Windows server fleets, introduced configuration management, and improved provisioning speed through early automation initiatives. Reduced manual build time from days to under 2 hours.

Business Outcome: Improved delivery speed and operational consistency for core infrastructure services.

Delivery Outcomes

🚀 Improved deployment frequency from monthly to multiple daily releases through pipeline reliability improvements
⚡ Reduced mean time to recovery by 60% with stronger observability and automated runbooks
🛡️ Increased platform stability via proactive scaling, chaos engineering, and resiliency design
🧑‍💻 Enabled 10+ engineering teams with self-service infrastructure and golden-path templates
💰 Delivered 35% cloud cost reduction through right-sizing and scheduling improvements
🔒 Implemented security scanning and compliance automation across all deployment pipelines
🧪 Integrated SonarQube, Trivy, Snyk, and Checkov as mandatory pipeline quality gates
🔑 Deployed HashiCorp Vault for centralised secrets management, eliminating hardcoded credentials
🛡️ Enforced OWASP ZAP DAST scans in staging to catch runtime vulnerabilities before production
🤖 Enabled AI automation workflows for release validation, documentation generation, and incident response acceleration
🏢 Delivered Data Centre transformation outcomes with stronger operational controls and production readiness

Working Style

I partner closely with engineering, QA, and security teams to deliver practical, maintainable, and production-ready solutions aligned with business goals. I favour async-first collaboration, clear runbook documentation, and blameless post-mortems.

Cross-functional delivery Stakeholder alignment Platform standards Operational readiness

Core Technologies

AWS (EKS, EC2, RDS, IAM, S3, VPC) Azure (AKS, DevOps, Entra ID) GCP (GKE, Compute Engine, IAM) OpenShift Kubernetes Terraform Ansible GitHub Actions Jenkins ArgoCD Helm Docker Prometheus Grafana Loki ELK Stack PostgreSQL Patroni PgBouncer Linux Python Bash SonarQube Trivy Snyk Checkov OWASP ZAP HashiCorp Vault Cosign Sigstore AI automation Data Centre

5-6 years of hands-on engineering experience with OpenShift, Kubernetes, Linux, Ansible, Grafana, Azure/AWS/GCP cloud platforms, AI automation, and enterprise Data Centre environments.

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