DevOps Automation & CI/CD Pipelines

DevOps at Jacobian is opinionated. We pick one CI platform per customer (typically GitHub Actions for GitHub-hosted repos; CircleCI or Buildkite when scale, parallelism, or self-hosted runners require it) and build the pipeline as code -- versioned, code-reviewed, and reusable across services. Build, test, security scan, and deploy stages all run in containers with pinned tool versions, so the same pipeline that runs locally runs in CI and in production.

Infrastructure ships as Terraform from the same repos. Modules are versioned, change plans are previewed in pull requests, and apply happens through a protected workflow with manual approval for production. For Kubernetes workloads we layer ArgoCD or Flux for GitOps-driven deploys -- desired state lives in Git, the cluster reconciles automatically, and rollbacks are a single revert. Most customers reach daily deploys within 90 days, often a 5-10x improvement over their pre-engagement cadence.

Security scanning is integrated, not bolted on. SAST (CodeQL, Semgrep), SCA (Dependabot, Snyk, or GitHub Advanced Security), container scanning (Trivy, Grype), and IaC scanning (Checkov, tfsec) run on every PR. Failed scans block merges; remediation is tracked. Because our team's roots are in audit and compliance work, the same pipelines that ship code also produce evidence -- signed builds, deployment logs, and approval records that satisfy SOC 2 change-management controls without a separate compliance toolchain.