Gerard Ceraso

• Rebuilt Terraform into modular, reusable architecture across GCP and AWS, accelerating deployments and eliminating cross-team duplication.
• Designed site-to-site VPN tunnels between GCP and AWS, enabling secure cross-cloud workload communication.
• Consolidated GitLab CI pipelines across cross-functional teams, reducing build complexity and standardizing deployments.
• Cut Datadog spend by reducing noisy logs and metrics ingestion while improving incident signal-to-noise ratio.

• Established Terraform as the IaC foundation across GCP, centralizing monitoring and logging alongside it.
• Designed data pipelines for engineering and science teams using BigQuery, Datastream, Fivetran, and Looker.
• Rationalized CI/CD tooling across GoCD, Bamboo, and CircleCI, improving pipeline reliability and standardizing deployment practices.
• Modernized Kubernetes clusters by removing Dockershim and deprecated components to align with current standards.
• Standardized Helm chart development with DRY principles, improving consistency across deployments.
• Performed monolith database split, improving performance and reducing disaster recovery time.

• Containerized new and existing applications on Kubernetes, establishing standards for resource configuration and deployment patterns.
• Managed multiple AWS accounts end-to-end with Terraform, developing reusable modules to enforce consistency across environments.
• Partnered with CISO to strengthen security posture, meeting and exceeding SOC2 requirements.
• Upgraded EKS clusters with zero-downtime node group rotation, establishing repeatable lifecycle management.
• Architected ETL pipelines and data management improvements for engineering and data teams.

• Owned IaC with Terraform, including automated deployment pipelines with approval gates and environment promotion controls.
• Decomposed multi-language monolith into containerized multi-service architecture on Fargate and Kubernetes.
• Implemented CI/CD pipelines using Drone and Jsonnet to maintain DRY configurations.
• Developed centralized logging and monitoring using Datadog, InfluxDB, and Telegraf.
• Ensured infrastructure processes exceeded SOC2 and GDPR compliance standards.

• Migrated entire infrastructure from bare-metal datacenter to containerized Kubernetes in AWS with minimal downtime, improving performance 5x.
• Built and maintained autoscaling Kubernetes clusters serving a $20B API marketplace at 200+ req/sec.
• Built continuous deployment system enabling developers to deploy, monitor, and rollback releases via Slack and CLI.
• Migrated large PostgreSQL database from standalone to Aurora RDS using DMS with minimal downtime.
• Implemented full-stack observability using Grafana, Graphite, Prometheus, Datadog, and CloudWatch.
• Leveraged Kong as ingress controller for granular traffic routing, removing bottlenecks without code changes.

• Built scalable infrastructure supporting 100k active users across hybrid Node.js and PHP platform.
• Provisioned and managed AWS infrastructure with reserved instance planning to reduce costs.
• Migrated PostgreSQL to RDS and implemented RabbitMQ and Redis for queuing and token storage.
• Established containerized infrastructure foundation using Kubernetes and Docker, enabling cloud-native deployments.
• Built CI/CD pipelines using CircleCI with NewRelic and Sumo Logic monitoring.

Director of DevOps (2014–2016) · Senior DevOps Engineer (2011–2014) · Security Engineer (2009–2011) — Joined as one of the first employees doing security engineering; grew through automation-heavy roles into DevOps leadership as the platform scaled from startup to enterprise.

• Scaled infrastructure to manage over 12,000 production nodes.
• Technical lead for designing and deploying Reliant's Debian-based security and virtualization platform.
• Designed and implemented PCI-compliant AWS environments using private VPCs.
• Assisted clients with PCI and SOX audits and developed remediation plans.
• Consolidated virtualization across KVM/QEMU, OpenVZ, and VMware to reduce datacenter footprint.
• Onboarded and mentored engineers across multiple levels as the team grew alongside the platform.