Kacper Wiśniewski
Platform & DevOps consultant
I build the infrastructure that powers modern software - from Kubernetes platforms and GitOps pipelines to data and ML workloads. I worked across regulated industries (HIPAA, FedRAMP IL5, GxP) where reliability and security aren't optional, helping teams ship products without the operational overhead. Privately a big fan of open-source and homelabbing.
Experience
DevOps Engineer
DevOps / Platform Engineer working across in-house products and multiple client environments, with a strong focus on GitOps, cloud infrastructure, compliance, and cost efficiency.
- • Designed and operated Kubernetes-based platforms across AWS, GCP, Azure, and OVH for in-house products and external clients
- • Implemented and maintained HIPAA, GxP, and FedRAMP-aligned environments, including AWS GovCloud (IL5) workloads
- • Optimized ML training infrastructure, reducing idle GPU and storage costs via monitoring and alerting
- • Built and standardized GitOps-based delivery using ArgoCD and opinionated Helm charts, dramatically reducing deployment complexity
- • Worked on cloud-agnostic platform initiatives, replacing provider-locked services with open-source alternatives (MinIO, Kafka, Redis, CNPG, OpenBao)
DevOps Engineer
DevOps Engineer supporting Adobe Experience Manager (AEM) infrastructure.
- • Maintained and supported Kubernetes-based AEM infrastructure across Azure and AWS
- • Investigated incidents and delivered root cause analyses (RCAs) for production issues
- • Worked with Jenkins, Helm, and observability tooling (Prometheus, Splunk) to support reliability and performance
- • Collaborated within a large, timezone-distributed environment with strict operational processes
Junior DevOps Engineer
DevOps Engineer in a platform team delivering on-prem Kubernetes/OpenShift PaaS used by European R&D projects.
- • Partnered with development teams to improve delivery workflows through CI/CD standardization and Helm-based deployments
- • Operated and extended on-prem Kubernetes/OpenShift infrastructure supporting research and production workloads
- • Designed and implemented a Python-based internal tool to automatically sync LDAP groups with GitLab groups, significantly improving onboarding and access management
- • Contributed to the migration from Bitbucket + Jenkins to GitLab, reducing tooling fragmentation
Cloud Software Development Intern
Worked in Intel's Cloud Enterprise Solutions Group, building automation and tooling to benchmark Xeon processors for cloud-native workloads across major cloud providers.
- • Developed automation and internal tooling to benchmark cloud workloads on Intel Xeon CPUs across Azure and on-prem Kubernetes/OpenShift environments
- • Built and maintained CI/CD pipelines for infrastructure and benchmarking workflows using Python, Ansible, Terraform, and Docker
- • Deployed and operated cloud-native infrastructure using Helm, Kubernetes, and GitHub Actions
- • Co-delivered an internal web application enabling non-technical teams to analyze AWS and Azure billing data by resource tags, leading to a significant reduction in cloud spend
- • Collected, analyzed, and visualized benchmark and infrastructure metrics to support performance optimization and marketing materials
The tools behind the work
Cloud-agnostic by default, opinionated where it counts. The stack I reach for across engagements.
Cloud Providers
Containers & Orchestration
Automation & Delivery
Data & AI
Observability
Languages
Education
Bachelor of Engineering in Computer Science
Poznan University of Technology
Oct 2020 - Feb 2024
Certifications
Linux Foundation
Linux Foundation
Amazon Web Services