Senior Devops Emgineer

6/2023 – offen

Managed and configured Kubernetes clusters to ensure high availability and scalability.

Developed and maintained CI/CD pipelines using GitHub Actions for ADP Run, automating builds, tests, and deployments.

Implemented logging and monitoring solutions with Grafana Loki, providing real-time insights into system and application performance.

Created AWS Lambda functions to trigger event-driven workflows.

Deployed new application releases to Kubernetes clusters by updating and managing Helm charts.

Monitored NFS storage configurations and backups to ensure data integrity.

Managed Linux servers using Ansible for applying security patches and performance updates.

Troubleshot storage issues and optimized Kubernetes pod capacity through efficient ConfigMap management.

Utilized Secrets Manager with enforced audit logging to securely manage sensitive information.

Reviewed and merged pull requests related to Kubernetes configurations, ensuring code quality and consistency.

Monitored S3 storage performance using AWS Storage Lens for effective resource management.

Oversaw Kafka and Zookeeper logs, tuning broker configurations for optimal performance.

Identified and reported firewall configuration issues to maintain a secure infrastructure.

Amazon Web Services (AWS)

8/2021 – 4/2023

Kubernetes Cluster Management: Managed Kubernetes cluster on
Digital-Ocean for Spryker, ensuring scalability and reliability.
• CI/CD Pipeline: Set up and maintained pipelines using
CodePipeline, automating release for efficient software delivery.
• Infrastructure as Code: Managed CloudFormation, Terraform, and
Ansible templates, for performance optimization and error handling.
• Monitoring: Configured Elastic Stack for centralized logging and
monitoring, enhancing visibility into application performance.
• Cloud Monitoring: Monitored CPU and memory usage on GCP
machines, addressing resource bottlenecks proactively.
• Incident Management: Evaluated and tracked incidents, ensuring
prompt resolution and follow-up actions to minimize downtime.
• Dashboard Monitoring: Reviewed Prometheus and Kibana
dashboards to monitor system performance and application health.
• Collaboration: Coordinated with Dev, Ops teams, ensuring
alignment on project requirements and process improvements.
• Database Backup Monitoring: Ensured automated database
backups were monitored for data integrity and availability.
• Storage Optimization: Created GitHub Actions jobs to delete
artifacts, optimizing storage and reducing overhead.

Amazon Web Services (AWS)

1/2020 – 6/2021

CI/CD Pipeline: Managed pipelines using GitLab, automating
builds, test, and deployment for seamless application delivery.
• Infrastructure as Code: Provisioned GCP machines and VMware,
ensuring consistency and scalability using Terraform.
• Kubernetes Storage: Configured pvc/pv for Kubernetes clusters
using NFS, optimizing storage in containerized environments.
• Reverse Proxy: Optimized Nginx reverse proxy for traffic routing,
improving performance and scalability of internal services.
• Monitoring: Configured Datadog APM for real-time tracing and log
optimization, enhancing application performance monitoring.
• Security: Automated Docker image scanning with Trivy via Cron
jobs on GCP, improving container security.
• Log Management: Utilized Journalctl for log management and error
troubleshooting on GCP, ensuring system stability.
• Error Notifications: Configured Datadog to send notifications to
Slack, enabling quick incident response and reducing downtime.
• Cloud Storage Configuration: Managed Amazon S3 buckets for
secure, scalable storage across environments.

Amazon Web Services (AWS)