KubernetesCI/CDObservabilityInfrastructure automationIncident responsePlatform interfacesTerraformGrafanaProduction systems

open to DevOps consultation through DevOps4Hire

Gabriel Boucher builds the systems behind the launch.

Platform / DevOps Engineer turning infrastructure, observability, and release work into systems teams can trust when production is awake.

identity.card verified
Gabriel Boucher
name
Gabriel Boucher
role
Platform / DevOps Engineer
mode
systems built over time
launch.board runtime proof
provision ready 72%
deploy shipping 89%
observe watching 64%

Professional summary

resume.summary

DevOps / Platform Engineer with 6+ years of experience designing and operating distributed cloud infrastructure.

  • Designed and operated distributed cloud infrastructure with Kubernetes, Docker, GCP, AWS, Terraform, Go, and Python.
  • Focused on automation, scalability, observability, and infrastructure cost optimization for production systems.
  • Built cloud-provider abstractions, CI/CD automation, monitoring rules, image distribution systems, APIs, and internal services.

Experience

Edgegap / systems built over time
Edgegap Platform / DevOps Engineer

Designed and operated global game-server infrastructure, cloud-provider automation, CI/CD systems, observability platforms, PostgreSQL high availability, DNS infrastructure, and registry automation.

database failover hardened
release/2026 deployed capability

PostgreSQL high-availability architecture and migration

Role Lead engineer for the architecture and migration to a self-hosted highly available PostgreSQL platform.
Outcome Moved PostgreSQL from a single standalone instance to a 3-node highly available cluster with replication, pooling, routing, backups, and automatic failover.
  • Designed the PostgreSQL high-availability architecture and migration strategy.
  • Tested migration procedures across multiple infrastructure providers before production cutover.
  • Implemented point-in-time recovery with pgBackRest and logical backups with pg_dump, storing backups in S3 buckets.
  • Deployed and load-tested PgBouncer, HAProxy, and etcd for reliable connection pooling, routing, and automatic failover.
  • Investigated replication failures, including multixact replay errors and replica recovery procedures.
  • PostgreSQL
  • Patroni
  • pgBackRest
  • PgBouncer
  • HAProxy
  • etcd
  • S3
signal costs reduced
release/2025 deployed capability

Observability and monitoring cost optimization

Role Maintained monitoring, alerting, and metrics infrastructure for distributed production systems.
Outcome Reduced monitoring costs by about $2,000/month by analyzing metric cardinality and eliminating unnecessary ingestion while improving visibility.
  • Built monitoring and alerting rules using Prometheus, Grafana, and PagerDuty.
  • Analyzed cardinality of metric labels and applied fixes to reduce ingestion costs.
  • Deployed a federated Prometheus metric collection system.
  • Designed custom Grafana dashboards for client game-server metrics.
  • Optimized container resource usage across monitoring APIs, proxies, game servers, and edge locations.
  • Prometheus
  • Grafana
  • PagerDuty
  • cAdvisor
  • kube-state-metrics
deploy path accelerated
release/2024 deployed capability

Delivery reliability and DNS platform redesign

Role Built deployment pipelines and led the redesign of infrastructure DNS for high availability.
Outcome Reduced pipeline execution time by 5 minutes per commit, cut production configuration changes to under 1 minute, and reduced Redis CPU usage by about 95%.
  • Developed unit and integration test pipelines using Bitbucket Pipelines and GitHub Actions.
  • Reduced pipeline execution time by sharding tests for better efficiency and atomicity.
  • Deployed an AWX stack for running Ansible workers and protecting environment secrets.
  • Replaced a legacy DNS server with a replicated CoreDNS setup using Redis and automatic scaling.
  • Modified the CoreDNS Redis plugin to use connection pooling, cutting Redis CPU usage from 100% to about 5% of 1 vCPU.
  • Bitbucket Pipelines
  • GitHub Actions
  • AWX
  • Ansible
  • CoreDNS
  • Redis
edge fleet expanded
release/2023 deployed capability

Global edge infrastructure and gameserver orchestration

Role Designed and operated distributed game-server infrastructure across multiple cloud and edge providers worldwide.
Outcome Scaled game-server infrastructure to 615 locations while cutting orchestration overhead by about 40%.
  • Built a Go API around nerdctl and containerd to orchestrate and monitor game-server deployments.
  • Developed 17+ Python cloud-provider integrations to start virtual machines across 615 locations.
  • Provisioned virtual machines, bare-metal servers, VPCs, disks, and supporting provider resources.
  • Created a globally distributed DDoS protection service for TCP and UDP flood attacks.
  • Deployed NATS to coordinate operating system updates during low-traffic periods.
  • Kubernetes
  • Go
  • Python
  • containerd
  • nerdctl
  • NATS
  • Cloud providers
image delivery hardened
release/2022 deployed capability

Container platform and registry operations

Role Maintained and automated the multi-tenant container registry platform while modernizing deployment nodes.
Outcome Improved registry automation and storage management, supported uninterrupted image distribution, and cut 10 GB image pull times from about 1 minute to about 30 seconds from non-cached locations.
  • Maintained a multi-tenant Harbor registry backed by S3-compatible storage.
  • Managed Harbor upgrades using Helm without downtime.
  • Built Python tooling around the Harbor API for clients, quotas, image layers, and garbage collection.
  • Migrated Harbor PostgreSQL to a newer version without downtime.
  • Migrated standalone-node deployments to K3s, a lightweight Kubernetes distribution suited to Edgegap infrastructure.
  • Harbor
  • Helm
  • Python
  • PostgreSQL
  • S3 storage
  • K3s
platform signals online
release/2021 deployed capability

Monitoring foundation and game-server orchestration

Role Helped build the early operational foundation for game-server orchestration and production visibility.
Outcome Gave the platform its first dependable monitoring layer and helped shape the orchestration system that later supported global edge scale.
  • Implemented monitoring and dashboards using Prometheus and Grafana.
  • Helped design and develop the game-server orchestration system.
  • Focused the early platform around automation, visibility, and production operability.
  • Prometheus
  • Grafana
  • Dashboards
  • Game servers
  • Orchestration

Earlier experience

LaPlank / operations under pressure
LaPlank Line Cook
  • Prepared and cooked meals in a fast-paced kitchen.
  • Managed ingredient inventory and supported team efficiency during peak hours.
  • Followed sanitation standards and maintained cooking equipment.

Skills

stack.yml
tracked / explainable / replaceable platform map

Cloud & infra

9 tools
  • Kubernetes
  • Docker
  • Helm
  • GCP
  • AWS
  • Linode
  • Terraform
  • Ansible
  • Linux / Unix

Observe

6 tools
  • Prometheus
  • Grafana
  • PagerDuty
  • SQL
  • PromQL
  • MQL

Programming

8 tools
  • Go
  • Python
  • Bash
  • C#
  • TypeScript
  • Flask
  • FastAPI
  • Gin

Languages

3 tools
  • French - Native
  • English - Fluent
  • Japanese - Beginner

Work with Gabriel through DevOps4Hire.

For platform engineering, DevOps automation, observability, scaling, or infrastructure cost work, the consultation starts on the main DevOps4Hire site.

Good fit for
  • Kubernetes and cloud platform work
  • CI/CD, provisioning, and automation
  • Monitoring, incidents, and cost reduction
Book a consultation