DevSecOps and Delivery Pipelines

The problem this solves

Two failure modes are common. Teams with fast pipelines and no security controls, where a dependency vulnerability reaches production unnoticed. And teams where security tooling was bolted on so clumsily that engineers route around it. Both end the same way: an audit finding or an incident, followed by an expensive scramble.

What the engagement looks like

I build or repair the delivery path — GitHub Actions, GitLab CI, or Azure DevOps — and integrate security scanning where it produces signal rather than noise: dependency and container scanning (Snyk, Trivy, DependencyTrack), static analysis (Semgrep, SonarQube), workflow auditing (zizmor), and findings management (DefectDojo). Secrets move out of pipeline variables and into proper management (HashiCorp Vault, cloud-native stores).

The measure of success is that the controls survive contact with daily development: builds stay fast, findings are triaged rather than ignored, and every release is traceable. In a recent engagement this setup eliminated manual release errors while cutting deployment time by roughly 40%.

Typical deliverables

• Working CI/CD pipelines with staged environments and rollback paths.
• Integrated security scanning with tuned rules and a triage workflow.
• Secrets management migration.
• An audit trail of who changed what, from commit to production.

Who this is for

Engineering managers who need releases they can trust and evidence they can show an auditor — without slowing the team down. Backed by AWS Security Specialty certification and DevSecOps delivery for clients including Orange Bank and SantaLucía.