Python R
@pythonr
DevOps/Sysadmin with proven 24/7 reliability, cloud and Kubernetes infrastructure expertise.
What I'm looking for
I am a DevOps and Systems Administration professional experienced building and operating resilient infrastructure across on-premise, OVH, and AWS environments. I have administered production systems for years without downtime and led projects using Proxmox, OpenSense, Kubernetes, Terraform, Ansible and Docker.
My background includes designing CI/CD pipelines, implementing AWS infrastructure with CDK and Python, and operating networks with Cisco and Juniper equipment. I hold certifications and training in Admin DevOps, CCNA, CKA and AWS SA, and I regularly use monitoring tools such as Prometheus, Grafana, Datadog and Nagios to ensure system reliability and security.
I deliver secure, automated, scalable platforms and enjoy mentoring small engineering teams while providing hands-on technical assistance for Kubernetes and cloud deployments. I prioritize uptime, security, and pragmatic automation to support business continuity and growth.
Experience
Work history, roles, and key accomplishments
Admin Proxmox/OpnSense/Kubernetes
Unknown
Jun 2025 - Present (6 months)
Built and operated a bare-metal infrastructure on OVH using Proxmox, OpnSense and Kubernetes to host production workloads with robust networking and security controls.
Consultant DevOps
Unknown
Feb 2024 - Aug 2024 (6 months)
Delivered technical assistance on Kubernetes and led a small team as project manager for four Linux engineers to deploy and operate containerized workloads.
Admin Sys
Unknown
Sep 2008 - Mar 2023 (14 years 6 months)
Managed 24/7 IT operations across two sites including 11 physical servers, multi-site networking, VPN/IPsec links and firewalls; achieved 13 years without downtime or security breaches.
Education
Degrees, certifications, and relevant coursework
Admin DevOps
Certificate, DevOps / Systems Administration
2023 - 2024
Completed a hands-on Admin DevOps program covering Git, Docker, Kubernetes, Terraform, Ansible, Python, and observability tools with projects including a CI/CD pipeline for a microservices application.
Master in Applied Statistics
Master of Science, Applied Statistics
2021 - 2022
Completed a master-level program focused on applied statistics and data analysis methodologies.
Self-directed learning (online platforms and private tutors)
Non-degree / Professional Development, Continuing Professional Education
Activities and societies: Cisco CCNA, CKA, AWS SA study; training in Python, C#, C, R, SQL, XML
Ongoing self-study through platforms (Udemy, KodeKloud, Pluralsight) and private tutors covering networking, cloud, Linux/Windows, programming, and cybersecurity.
Availability
Location
Authorized to work in
Job categories
Skills
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