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Konrad K.
Azure Engineer
Konrad is an Azure Engineer with over five years of hands-on experience in DevOps and Site Reliability Engineering (SRE). He specializes in Terraform, infrastructure as code (IaC), EKS/ArgoCD, CI/CD pipelines, Ansible, Docker/Helm, scripting, and monitoring/logging.
Konrad has led high-impact projects, including the development of a supply chain optimization service for a global agribusiness client. He designed end-to-end infrastructure, automated data workflows, and supported BI and data science processes, achieving projected annual cost savings of $120–150 million.
Known for his strategic vision and pragmatic approach, Konrad consistently delivers solutions that are rapid, stable, and secure, making him a valuable asset for complex technical initiatives.
Main expertise
- Azure 5 years
- DevOps 5 years
- Terraform 5 years

Other skills
- NoSQL 5 years
- Golang 2 years
- SQL 2 years
Selected experience
Employment
Site Reliability Engineer
Instructure - 1 year 7 months
- Designed and built foundational infrastructure using Terraform for secure, scalable AWS account management, improving resource allocation and security compliance.
- Led a major initiative to upgrade all RDS databases to the next major version, enhancing performance, security, and compliance.
- Developed Terraform-based extensions for JFrog Artifactory, integrating Okta SCIM for user and project group management, streamlining access control, bolstering security, and improving developer experience.
- Employed Docker and Kubernetes (EKS) extensively, leveraging ArgoCD for continuous deployment and automation, increasing deployment speed and reliability.
- Managed and optimized CI/CD pipelines with Jenkins and ArgoCD, ensuring efficient, repeatable, and reliable software delivery processes.
Technologies:
- Technologies:
MongoDB
Docker
PostgreSQL
Ruby
Ruby on Rails
AWS
ElasticSearch
Golang
Jenkins
Python
AWS SQS
Kubernetes
AWS Lambda
AWS S3
Bash
Grafana
Terraform
Ansible
DevOps
Kibana
Linux
Elastic Stack
DataDog
Shell
Helm
YAML
Prometheus
Argo CD
GitHub Actions
Senior DevOps Engineer
Bunge - 3 months
- Built CI/CD pipelines in Bamboo, enhancing deployment consistency and reliability.
- Optimized BI and data science workflows, accelerating insights and improving data processing efficiency.
- Created automation scripts for deployments, reducing manual effort and minimizing errors.
- Established scalable and secure Google Cloud infrastructure using Terraform.
- Developed a customized supply chain optimization platform for a global agriculture client, delivering end-to-end infrastructure and automation.
- Achieved projected annual cost savings of $120–150 million through improved efficiency and optimized resource utilization.
Technologies:
- Technologies:
MongoDB
Docker
PostgreSQL
Python
Kubernetes
Bash
- Data Science
Google Cloud
Terraform
DevOps
Linux
Shell
PowerShell
YAML
Senior DevOps Engineer
weCan Technology - 1 year 11 months
- Led DevOps initiatives as a Senior Engineer, optimizing Azure DevOps CI/CD pipelines for TypeScript, Java Spring Boot, Python, and .NET, increasing deployment efficiency by 30% and reducing developer downtime by 20%.
- Automated workflows to maintain application availability, security, and scalability across Azure, GCP, and AWS environments.
- Developed and refined Azure DevOps CI/CD processes for diverse tech stacks, integrating static application security testing to ensure code resilience.
- Scripted and automated recurring tasks using Python and PowerShell, reducing manual workload and enabling the team to focus on strategic priorities.
- Ensured high availability and reliability of software serving millions of users daily by designing and operating infrastructure in Azure, GCP, and AWS.
- Monitored and resolved infrastructure issues using Datadog, AWS CloudWatch, and Grafana, maintaining system stability and optimal performance.
- Improved deployment efficiency and scalability by containerizing and orchestrating applications with Docker, Kubernetes, and Helm, achieving a 40% performance gain.
- Engineered scalable architectural solutions by translating complex system requirements into practical implementations with Terraform and Ansible, significantly enhancing system reliability and performance.
Technologies:
- Technologies:
MySQL
MongoDB
Docker
PostgreSQL
AWS
ElasticSearch
Java
Flask
Jenkins
Postman
Python
Kubernetes
Bash
Azure
Google Cloud
Grafana
Terraform
Ansible
DevOps
Kibana
Linux
DataDog
Shell
HAProxy
Azure Cloud
Helm
PowerShell
YAML
Prometheus
Argo CD
GitHub Actions
Infrastructure Engineer
Morgan Stanley - 2 years 5 months
- Redesigned and optimized CI/CD pipelines using Jenkins and proprietary deployment tools, saving the development team several hours per week.
- Created reporting scripts in PowerShell and Python using REST APIs, improving software workflows and providing actionable insights for the OPS team and management.
- Migrated scheduled tasks from Windows to Zapp (Morgan Stanley’s Kubernetes-like platform), enhancing task management efficiency.
Technologies:
- Technologies:
Jenkins
Python
Kubernetes
DevOps
Linux
Shell
REST API
YAML
Education
MSc.Master of Business Administration
Budapest Metropolitan University · 2021 - 2023
BSc.Computer Science
University of Debrecen · 2016 - 2020
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