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Python RPR
Open to opportunities

Python R

@pythonr

DevOps/Sysadmin with proven 24/7 reliability, cloud and Kubernetes infrastructure expertise.

Zimbabwe
Message

What I'm looking for

I seek a hands-on DevOps or infrastructure role where I can build resilient, automated cloud-native platforms, mentor engineers, and ensure high availability and security.

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

UN
Current

Admin Proxmox/OpnSense/Kubernetes

Unknown

Jun 2025 - Present (1 year)

Built and operated a bare-metal infrastructure on OVH using Proxmox, OpnSense and Kubernetes to host production workloads with robust networking and security controls.

UN

Cloud/DevOps Engineer

Unknown

Sep 2024 - Jun 2025 (9 months)

Provided AWS infrastructure using CDK (Python) and implemented CI/CD pipelines with GitLab and ECS Fargate to automate deployments and improve delivery speed.

Education

Degrees, certifications, and relevant coursework

AD

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.

MS

Master in Applied Statistics

Master of Science, Applied Statistics

2021 - 2022

Completed a master-level program focused on applied statistics and data analysis methodologies.

ST

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.

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