I’m Corey Wilson — a husband, father, and engineering manager based in Abbotsford, British Columbia. I lead platform engineering teams that help organizations scale with reliability, security, and simplicity.

I specialize in engineering leadership — building high-performing teams, fostering psychological safety, and guiding engineers to deliver reliable, scalable systems through DevOps, SRE, and platform practices. My focus is on creating clarity, driving alignment, and turning complex technical challenges into opportunities for growth and impact.

I’m endlessly curious about technology and obsessed with automation — from GitHub workflows to infrastructure pipelines — turning ideas into reliable, repeatable systems. My approach blends pragmatism and creativity: following best practices when they fit, and improving on them when they don’t.

Outside of work, I’m usually lifting at the gym at dawn, coaching youth baseball, or exploring the outdoors of British Columbia with my family. At home, you’ll find me reading philosophy, sketching my next D&D campaign, or watching sci-fi with my kids while progressive metal plays in the background.

Let’s build something that lasts.

Skills

Leadership

• Building high-performing, psychologically safe teams
• Coaching engineers with radical candor and leading them as a coach
• Leading authentically through change, uncertainty, and growth
• Managing and developing global, remote-first teams
• Hiring and talent assessment using Topgrade methodology
• Applying DiSC insights to tailor communication and collaboration
• Delegating effectively to elevate focus and accountability
• Practicing active listening and providing empathetic feedback
• Driving clarity, alignment, and autonomy across teams
• Being a great manager by focusing on outcomes, not control

Cloud & Infrastructure

• AWS (EC2, RDS, Lambda, EKS, S3, IAM)
• Kubernetes, Helm, Docker
• Terraform & Infrastructure as Code
• CI/CD (GitHub Actions, GitLab CI, ArgoCD)

AI & Machine Learning Infrastructure

• Cloud platforms for AI workloads (AWS, EKS, GPU/accelerator integration)
• Scalable model serving and deployment pipelines
• Data pipelines and storage optimization for training/inference
• Observability and cost optimization for AI workloads
• Custom AI infrastructure (MCP servers, internal GenAI tooling)

Site Reliability Engineering (SRE)

• SLIs, SLOs, and SLAs design and measurement
• Incident response & blameless postmortems
• Reliability patterns: high availability, failover, disaster recovery
• Performance tuning & capacity planning
• Toil reduction through automation (runbooks, self-healing systems)

Programming & Automation

• Python, Golang, Ruby, JavaScript/Node.js, Bash/Zsh
• Frameworks: FastAPI, Express, Rails, Jekyll
• GitHub/GitLab automation & custom developer tooling

Platform Engineering & Ops

• Observability: DataDog, Prometheus, Grafana, CloudWatch, ELK
• Logging, monitoring, and operational automation
• Cost optimization (Graviton adoption, Spot instances, Well-Architected reviews)

Data & Event Systems

• Postgres, Redis, MongoDB
• OLTP/OLAP design, performance tuning
• Event-driven architectures & messaging (RabbitMQ, Kafka)

Web & Applications

• REST/GraphQL APIs, microservices
• Modern frontend with React/Redux, HTML/CSS/SASS
• Testing: TDD/BDD, contract, integration, E2E

Tooling & Productivity

• HashiCorp suite, Jenkins, TeamCity
• Dockerized and container-native dev workflows
• Jira, Notion, GTD productivity systems
• macOS, Linux, VMWare environments