DevOps, Kubernetes and Cloud Expert

1/2022 – offen

• Architecture and coordinating of implementation of major split of monolithic API Gateway, resulting in zero-downtime shift of 1/3 of total traffic volume to new more secure service-to-service implementation;
• Establishing the foundation for secure multi-account and cross-account AWS setup, with moving a set of critical applications to a new environment;
• Optimizing cost of Kinesis-based events/data pipeline, resulting in over 35% of cost savings;
• Coordinating the work between more than a dozen teams to roll out the critical infrastructure changes;

Cloud Spezialist, DevOps (allg.), Amazon Web Services (AWS), Kostenoptimierung

11/2021 – 6/2022

* Greenfield implementation of Kubernetes environment in AWS and Open Telekom
Cloud, including complete infrastructure, as well as updating applications and
writing Helm charts and deployment pipelines;
* Setting up from scratch Infrastructure as Code with Terraform, to manage multi-
cloud environment;
* Extending applications code to harden security, integrate better with infrastructure
and support running in cloud native way;

Amazon Web Services (AWS), Kubernetes

10/2020 – 3/2021

* Proposing, planning and implementing cloud infrastructure improvements, on
topics like new log collection setup, GitOps-based Continious Deployment for
infrastructure code with ArgoCD and cloud native monitoring stack (Prometheus,
Thanos, Grafana);
* Hardening AWS security of applications running on Kubernetes (EKS), including
updating the source code of dozens of Spring applications;
* Zero-downtime migrations of production persistence layer across AWS accounts,
including Kafka clusters (with MirrorMaker 2, including Kafka Connect), DynamoDB
tables and PostgreSQL databases (with AWS DMS);

Amazon Web Services (AWS), Apache Kafka, Kubernetes

11/2019 – 9/2020

• Moving critical compliance and scoring applications to AWS, including splitting
monolithic legacy applications into services and running them with ECS, Fargate,
Step Functions, Lambda and other AWS services;
• Architecture and implementation of Continious Deployment setup of multiple
critical applications, preparing a blueprint of CI/CD setup for all applications, by
using tools like Jenkins, Ansible, CloudFormation and various AWS services;
• Resiliency tests and chaos automation for Kubernetes;
• Cost-optimization of public cloud usage;

DevOps (allg.), Python, Cloud (allg.), Amazon Web Services (AWS), Kubernetes

2/2019 – 7/2019

• Consulting a variety of product teams on using OpenShift/Kubernetes including
hands on support of putting existing applications into containers and setting up
software delivery process from code repository up to production environment;
• Building networking solutions for AWS environments to meet security and audit
requirements;
• Setting up cloud native monitoring with Prometheus and Grafana to monitor
Kubernetes workloads;
• Debugging performance issues and memory leaks of Java applications running on
CloudFoundry platform;
• Cost-optimization of AWS usage;

DevOps (allg.), Amazon Web Services (AWS), Kubernetes, Openshift, Schulung / Training (IT)

8/2018 – 9/2020

• Architecture and implementation of container-based internal PaaS: introduction of Openshift/Kubernetes to the company: planning and building production clusters, both OpenShift 3 and 4; training people on using containers, general architectureand processes around containers in the company; moving applications to be run in containers.
• Migration of legacy Infrastructure as Code and lifecycle Management solution to
Foreman and Puppet 4;
• Refactoring and extending internal Puppet setup, streamlining configuration
management;
• Programming internal infrastructure tools written in Python, adding Python 3
support and CI/CD pipeline;
• Leading the complete move to infrastructure as code / GitOps by developing and
rolling out tools and processes to manage infrastructure and identity management as code;

Continuous Delivery, DevOps (allg.), Red Hat Enterprise Linux (RHEL), Docker, Python, Iaas, Ansible, Puppet, Kubernetes, Openshift

1/2018 – 7/2018

• Containerising applications and supporting teams with running their products on
OpenShift/Kubernetes
• Extending private PaaS offering by building monitoring solution with Prometheus,
Alertmanager and Grafana to monitor Kubernetes environments, introducing
certificates automation, building and supporting private Docker images and
OpenShift templates for various open source technologies
• Improving and extending CI/CD setup both on technical level and by providing
best practices and helping teams to achieve fast and reliable delivery and transition to DevOps way of doing things

Continuous Delivery, DevOps (allg.), Docker, Kubernetes, Openshift, Schulung / Training (IT)

8/2017 – 12/2017

Writing a book Getting Started With Terraform

DevOps (allg.), Amazon Web Services (AWS), Schulung / Training (IT)

10/2016 – 12/2017

• Architecting and implementing greenfield infrastructure on AWS, covering areas
from creating golden images to configuration management to logging and
monitoring to access control. Key technologies are: Chef, Ansible, Docker,
Terraform, numerous AWS services, Linux (RHEL-based) etc
• Training and supporting product teams on infrastructure topics, helping them to
achieve Infrastructure as Code and Continious Delivery of all new releases for
multiple Java and Python based products, as well as frontend applications
• Documenting and enforcing standards of how to work with infrastructure

DevOps (allg.), Red Hat Enterprise Linux (RHEL), Docker, Ruby, Ansible, Amazon Web Services (AWS)

11/2015 – 9/2016

• Improving overhaul quality of Puppet setup: refactoring and writing new modules,
scaling Puppet Master, reviewing code changes across multiple teams
• Automating infrastructure provisioning with Terraform on top of OpenStack, Google
Cloud Platform and AWS; Patching Terraform to support advanced features of
OpenStack
• Configuring and improving OpenShift clusters with Ansible and Puppet
• Supporting with automation of MapR Hadoop clusters, as well as Kafka and Spark
components
• Hardening security and providing high availability for multiple components,
including OpenShift, DNS servers etc
• Training internal teams on usage of infrastructure automation and configuration
tools
• Upgrading Couchbase clusters and setting up cross data center replication on top of OpenStack

DevOps (allg.), Go (Programmiersprache), Google Cloud, Ansible, Puppet, Amazon Web Services (AWS), Kubernetes

7/2015 – 9/2015

Architecting and developing system for automated production-like test
environments deployment on AWS using Chef and Jenkins

DevOps (allg.), Ruby, Amazon Web Services (AWS)

2/2014 – offen

Automated educational platform, providing mentorship and consultations for those who want to learn programming, Big Data engineering or DevOps; as well as IT Consulting and Training for businesses:
• Development of platform itself;
• Mentored in total over 60 people personally
• Writing high quality content
• Selling the product
• Buillding and leading the team of 10 people working on a product

Amazon Web Services (AWS), Ruby on Rails, Schulung / Training (IT), Product Owner

1/2014 – 7/2015

• Working on numerous user-facing and internal services
• Scaling and maturing AWS infrastructure, which serves dozens of millions requests
a day
• Taking care of various DevOps tasks, including automating existing stack with the
help of tools like Chef.
• Setting up production-read ELK stack for BI and logs processing
• Enforcing DevOps practices among teams
• Deploying and using Apache Spark for performing experimental analysis of
business and user data

DevOps (allg.), Ruby, Amazon Web Services (AWS), Ruby on Rails

7/2013 – 12/2013

Working on OptimizePlayer.com.
• Setting up AWS infrastructure
• Optimising high performance video encoding jobs
• Automating deployments via Jenkins

Jenkins, Ruby, Amazon Web Services (AWS), Ruby on Rails

8/2012 – 12/2013

• Developing recommendation system for finding best places to visit based on
personal interests and geolocation
• Planning and implementing product infrastructure
• Optimising API backends for traffic from mobile devices.

Ruby, Amazon Web Services (AWS), Ruby on Rails

6/2009 – 8/2012

• Backend development of student file-sharing social network using advanced
PostgreSQL extensions
• Writing chef recipes, deployment applications with chef solo
• Working on project with Hadoop backend and Rails frontend with Nginx between
them

Postgresql, DevOps (allg.), Ruby on Rails