Kacper Wiśniewski
DevOps Engineer
Cloud & Kubernetes | CI/CD | GitOps | Infrastructure as Code
About Me
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.
Education
Bachelor of Engineering in Computer Science
Poznan University of Technology
Oct 2020 - Feb 2024
Certifications
Skills & Technologies
Cloud Providers
Containers & Orchestration
Automation & Delivery
Data & AI
Observability
Languages
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 Argo CD 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
Key Highlights
Multi-Cloud Kubernetes Platforms
Designed and operated Kubernetes-based platforms across AWS, GCP, Azure, and OVH, serving both in-house products and external clients with consistent delivery patterns.
Compliance & Regulated Environments
Implemented and maintained HIPAA, GxP, and FedRAMP-aligned environments, including AWS GovCloud (IL5) workloads for healthcare and government sectors.
GitOps-Based Delivery
Built and standardized GitOps workflows using Argo CD and opinionated Helm charts, dramatically reducing deployment complexity and improving developer experience.
Cloud Cost Optimization
Optimized ML training infrastructure and built internal tooling for cloud billing analysis, achieving significant reductions in idle GPU, storage, and overall cloud spend.
Get In Touch
Have a project in mind or want to discuss an opportunity? Feel free to reach out.