Expertise

Six disciplines, one system.

Each discipline below covers what it involves, the problems it addresses, where it shows up in my work, and where you can see the evidence.

01 / 06

DevOps Engineering

Designing the delivery system itself: how a commit becomes a tested, versioned, running service, the same way every time.

Delivery speed and stability are not a trade-off when the path to production is automated and repeatable. Manual steps are where both speed and safety are lost.

Problems it addresses

Releases that depend on one person's laptop or memory
Environments that drift apart until staging no longer predicts production
Slow, flaky pipelines that teams learn to route around
Infrastructure changes made by hand with no review or history

In my work

Established infrastructure-as-code standards and reusable Terraform and Terragrunt patterns across environments.
Managed CI/CD pipelines with Jenkins, Docker, and Bitbucket, and automated build, test, and deployment workflows.
Implemented CI/CD automation and infrastructure deployment workflows for a nationwide internet provider.

02 / 06

DevSecOps Engineering

Moving security from a review at the end to a set of automated controls inside the delivery pipeline, so every change is checked the same way.

Security that depends on a person remembering to check is applied inconsistently. Controls built into the pipeline run on every change and fail closed.

Problems it addresses

Vulnerabilities discovered after release, when they are most expensive to fix
Secrets committed to repositories or shared in chat
Container images and dependencies nobody has scanned
Audit and compliance evidence assembled by hand

In my work

Implemented DevSecOps controls: vulnerability management, infrastructure hardening, secrets management, and security automation.
Integrated code-quality controls into software delivery pipelines.
Contributed to environments aligned with HIPAA, SOC 2, and enterprise governance requirements.
Implemented secrets management, platform hardening, and security automation with HashiCorp Vault, Cloudflare, IAM, and WAF.

03 / 06

Cloud Engineering

Designing and operating cloud infrastructure that is resilient by default: networks, identity, compute, and data laid out so a single failure stays contained.

Cloud makes infrastructure fast to create and just as fast to get wrong. Architecture, networking, and identity decisions made early determine cost, resilience, and security for years.

Problems it addresses

Single-zone designs where one failure takes everything down
Migrations between providers that risk data and downtime
Networking and IAM sprawl that nobody can reason about
Click-ops resources with no owner and no reproducible definition

In my work

Drive cloud migration, platform modernization, and infrastructure transformation for enterprise customers.
Architected resilient Multi-AZ environments supporting business-critical applications and disaster recovery requirements.
Administered AWS services (ECS, EKS, Route 53, Auto Scaling, load balancers) and production networking for a nationwide provider.

04 / 06

Cloud Security

Making identity the perimeter: least-privilege access, segmented networks, and monitoring that turns security events into action.

Most cloud incidents trace back to identity and configuration, not exotic exploits. Strong defaults and continuous detection close the gaps attackers actually use.

Problems it addresses

Over-privileged roles and long-lived credentials
Implicit trust inside the network
Misconfigurations that drift in after the initial review
Security events that are logged but never alerted on

In my work

Implement cloud security controls and Zero Trust networking with Cloudflare, HashiCorp Vault, IAM, and WAF.
Supported enterprise identity, Zero Trust, and cloud security programmes delivered through an Okta Apex Partner.
MSc research on continuous automation with DevOps practices for threat detection.

05 / 06

Platform Engineering

Building the paved road: Kubernetes platforms, GitOps delivery, and reusable patterns that let product teams ship safely without becoming infrastructure experts.

Every team solving deployment, secrets, and observability on its own is slow and inconsistent. A shared platform makes the right way the easy way.

Problems it addresses

Each team running its own deployment approach
Kubernetes upgrades postponed until they become emergencies
No audit trail for what changed in production
Configuration drift between clusters and environments

In my work

Lead the design and operation of enterprise Kubernetes platforms for highly available production services.
Lead GitOps adoption with ArgoCD, improving deployment reliability, change management, and platform governance.
Lead Kubernetes upgrades and cluster lifecycle management.

06 / 06

Site Reliability Engineering

Running production with evidence: metrics, logs, and alerts that show what users experience, and runbooks that make recovery routine.

You can't improve reliability you can't see. Observability turns incidents from guesswork into a sequence of checks, and turns lessons into prevention.

Problems it addresses

Finding out about outages from customers
Dashboards nobody looks at and alerts nobody trusts
Backups that have never been restored
Incidents that recur because nothing changed afterwards

In my work

Design and operate observability platforms with Prometheus, Grafana, Datadog, Loki, Signoz, Elasticsearch, and CloudWatch.
Establish operational standards for monitoring, disaster recovery, backup, resilience, and incident response.
Managed backup, restoration, and disaster recovery for Kubernetes environments.

Need these disciplines on one team?

That's the role I'm looking for: senior DevSecOps or platform engineering, fully remote, on your team's hours.

Discuss an opportunity