01. Thomas Cardin
Professional summary
I am a passionate infrastructure engineer with expertise in Kubernetes application deployment and maintenance. My core strengths include strong communication skills and deep technical knowledge in container orchestration, cloud computing, and infrastructure management. I have a genuine passion for system-level diagnostics and performance troubleshooting, with experience spanning from application layers down to kernel-level analysis.
I am actively expanding my expertise in cloud-native technologies, systems performance monitoring, and eBPF technologies, with hands-on experience building custom diagnostic tools and performance monitoring solutions. My approach combines solid DevOps practices with low-level systems knowledge, enabling me to diagnose and resolve complex technical issues across multiple infrastructure layers.
Currently developing monitoring solutions and continuously learning cutting-edge technologies like cloud computing platforms, systems performance analysis, and extended Berkeley Packet Filter (eBPF) to enhance my diagnostic capabilities. I thrive in collaborative environments and am committed to continuous learning and professional growth in the systems engineering field.
Technical interests & learning:
- Kubernetes & container orchestration
- Cloud computing & infrastructure
- Networking & service mesh (Cilium)
- Observability tools (Prometheus, Grafana, OpenTelemetry)
- Systems performance analysis & optimization
- eBPF & Kernel Programming
- Distributed systems architecture
Collaboration & communication:
- Extroverted team player - passionate about collaboration and knowledge sharing
- Team-oriented problem solving and collaborative development
- Technical discussion and knowledge sharing with peers
- Cross-functional communication between dev and ops teams
- Mentoring and explaining complex technical concepts
- Active listening and building consensus on technical decisions
- Brainstorming sessions and creative problem-solving with colleagues
- Leading technical workshops and knowledge transfer sessions
- Building strong relationships across different engineering teams
Languages: Go, Python, C
02. Technical skills
Platform & Cloud Engineering
Expert in container orchestration with Kubernetes and Docker, designing robust CI/CD pipelines, and implementing Infrastructure as Code using Terraform and Ansible. Proficient in GitOps workflows, cloud computing platforms (infonuagique), and advanced networking with service mesh technologies like Cilium.
Programming
Strong programming skills in Go for microservices and gRPC applications, Python for automation and scripting, and C for systems programming. Experienced in shell scripting and Bash for infrastructure automation and tooling development.
Systems & Observability
Strong understanding of systems performance analysis and debugging complex issues. Actively learning eBPF and kernel tracing technologies. Experienced in building observability solutions with metrics collection, system telemetry, and performance monitoring using Prometheus, Grafana, and OpenTelemetry.
Security & DevOps
Implementing DevSecOps practices to integrate security throughout the development lifecycle. Specialized in container security, system hardening techniques, and comprehensive security monitoring to ensure robust and compliant infrastructure.
03. Featured projects
Homelab
K3S Kubernetes cluster on Turing Pi 2 board with 4 RK1 nodes. Ansible-managed infrastructure with Cilium networking and custom hardware configuration.
Calidum-Rotae
Go microservice for routing admission requests to different messaging platforms using gRPC architecture. Backend service with distributed messaging capabilities.
Gobservability
Advanced observability framework in Go with unified metrics, traces, and logs. Real-time analysis capabilities powered by eBPF monitoring.