06.03.2026 aktualisiert
MC
Premiumkunde
100 % verfügbarIT Consultant / Software Architecture / Dev-Ops / Development / Cloud / Monitoring
Dusseldorf, Deutschland
Deutschland
Skills
Bash ShellCloud ComputingLinuxDevOpsDigital Asset ManagementE-CommercePythonOpenShiftProduktlinienentwicklung (Software)ProduktionssystemeSoftware ArchitecturePublic CloudAnsibleSolarisPulumi
DevOps / Cloud Architect / SRE / Platform Engineering.
Erfahrung in der Einrichtung und Bereitstellung groß angelegter Systeme wie: E-Commerce, Content-Document- und Digital Asset Management Systems, Sowie Software Build Pipelines ( Tekton ) / hohes Volumen near real time-Transaktionssysteme / Unix / Linux / Solaris-Systeme / Private- Hybrid- und Public Cloud-Umgebungen mit Tools wie Terraform, Pulumi und Ansible. Umfangreiche Erfahrung mit Kubernetes-basierten Systemen wie OpenShift und K3S und OpenShift Operatoren. Erfahrung in der Lösung von Stabilitäts- und Leistungsproblemen in Produktionssystemen.
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DevOps / Cloud Architect / SRE / Platform Engineering.
Experience in setting up and deploying large scale systems such as : E-Commerce, Content- Document- and Digital Asset Management Systems, as well as Software Build Pipelines ( Tekton ) / high volume near real time transactional systems / Unix / Linux / Solaris systems / Private- Hybrid- and Public Cloud environments using tools such as Terraform, Pulumi and Ansible. Extensive experience with Kubernetes based systems such as OpenShift and K3S and OpenShift Operators. Experience in solving stability and performance problems in production systems.
Erfahrung
Berufserfahrungmehr als 10 Jahre
Freelancer seit2002
Sprachen
DeutschgutEnglischMutterspracheItalienischverhandlungssicher
Projekthistorie
Maintained and enhanced a centralized CI/CD build platform based on OpenShift Pipelines and Tekton used to automate builds of microservices written mainly in Python, Java and NodeJS. The platform integrated security and quality tooling including Trivy vulnerability scanning and SonarQube, with observability through Prometheus, Grafana, Loki, Elastic and Splunk. Results and metrics were distributed via Apache MQ and ChatOps notifications (Mattermost) and stored centrally using S3 (MinIO) and a MongoDB cluster, with a Java/NodeJS frontend (RISe) enabling search of SBOMs, software versions and reported vulnerabilities.
Proposed improvements at the architectural, component and code levels to evolve the system from a fully centralized pipeline service into a scalable hybrid model, supporting both shared pipelines and team-specific on-demand pipelines, including dynamic integration test environments.
Additional responsibilities included code reviews and refactoring in Bitbucket repositories, analysis of Tekton pipelines, webhooks, YAML templates and Python tooling, and development of Python-based OpenShift utilities to monitor and clean pipeline runs, improving cluster stability. Testing was implemented using PyTest.
Further work included OpenShift Operator integration, cluster troubleshooting, investigation of dataflows across system components & analysis of possible schema migration ( MongoDB to Oracle ) using Python, SQLAlchemy, Pandas and Java ORM frameworks.
Platform Engineer working with a team of SRE’s in the DataBase as a Service ( DBaaS ) team. All essential activities required for preparation for a PCI-DSS Readiness Audit – i.e. reviewing and and updating the current Dev / Test / Prod MariaDB based DBaaS clusters consisting of many instances of the current MariaDB DBMS stack : ProxySQL + Orchestrator + MariaDB currently deployed on-prem as well as in Azure as well as MultiCloud scenarios.
Typical activities involved reviewing Automation scripts in ( Terraform / Ansible / Python / Go-Lang / Bash ) and associated Documentation for environment setup / maintenance / operations activities / etc as well as patching of systems at different levels such as kernel patching of on-prem as well as cloud based VM’s and patch upgrading MariaDB Live cluster instances to known approved versions based on known CVE’s in preparation for the PCI-DSS Audit and also updating associated certificates in Venafi for VM’s and DB cluster nodes, etc.
Also reviewing backup and restore strategies and scripts for on-prem as well as cloud and multi cloud based MariaDB clusters as well as troubleshooting and stabilising RDBMS clusters if and when needed.
Analysis of application stack SxS Computer Vision - a realtime vision capture and event detection system based on EDGE / IoT design principles.
Adaptation and migration to a new high performance horizontally scalable distributed systems concept.
Proof of concepts were developed with Docker Swarm and Kubernetes K3S and demonstrated in a series of workshops highlighting pros and cons of each technology set and highlighting key concepts :
- Fault Tolerance / Horizontal Scaling / Fail-Over
- relevant tooling stacks ( Terraform / Ansible / Pulumi )
- diverse target environment support ( AWS / Azure / Bare Metal / Nutanix / HyperV ).
Design / Implementation of a PoC with K3S cluster ( Terraform / Ansible / Helm etc ).
Automation PoC with local envs ( VMWare x86 VM’s, Canonical MultiPass/QEMU ARM ), remote systems ( VMWare ESX, Azure Cloud )
Design / Implementation of the monitoring stack for the Kubernetes sub-system including the application stack components utilising TICK Stack ( InfluxData ) customised for EDGE / IoT scenarios in K3S.
Workshops delivered include :
- Intro to Docker Swarm for Beginners ( with sample apps utilising REST API’s / GoLang / Python )
- Intro to Kubernetes for Beginners ( theory and practice of Kubernetes internals )
- Troubleshooting application components within Kubernetes & optimisation to minimise connectivity issues.
- Optimisation of K8S Failover scenarios when hardware nodes are removed from a K3S cluster / eg. appl. downtime from 5 mins to 20 secs.