DevOps Engineers in Frankfurt

• Error analysis and fixes including performance optimization of the in-house developed platform API
• Change and incident management in day-to-day operations
• Responsible for compliance with security and compliance requirements
• Vendor management for software development and maintenance
• Planning and execution of migration of legacy services to a cloud native platform

Role in the project: project staff, implementation team

Used skills: requirements analysis, IT service and application management, IT operations, error analysis and performance optimization, software maintenance and lifecycle management

Project environment: Cloud Native Platform (Kubernetes, Crossplane, AWS, ArgoCD, Grafana)

• Porsche ID is a unified digital identity platform providing secure authentication and seamless access across Porsche’s online services, mobile apps, and connected vehicle features
• Designed and implemented new authentication and authorization functionalities for both users and systems
• Ensured high availability, security, and performance to deliver a flawless digital experience for Porsche customers
• Technologies: Auth0, Angular, Tailwind, AWS, Terraform, Github
• Methodologies: Scrum and SAFe

SCS provides its services to various trading and settlement locations and offers a variety of functionalities related to settlement. The business objectives of the C7 SCS are:

• Safeguard against counterparty risk.
• Reduction of External Settlement Volume.
• Central Risk Management.
• Post-Trade Anonymity.
• Efficient Failure Management.

Technologies: Java 17, Spring Boot 3, Microservices (REST API), Spring Data JPA/Hibernate, Sonar Qube, fortify findings, Mockito, Jenkins, Docker RHEL-OpenShift, Maven, Pod man, GitHub, JIRA, WIKI, Liquibase, Swagger API, AMQP, Apache Camel, GCP Machines Infra setup, Terraform, PostgreSQL, React.js, Instana, Graylog, Daisy LLM Usage, GitHub Copilot.

Roles and Responsibilities:

• Followed SOLID Design Principles for Microservice implementation.
• Reviewed and refactored codes were appropriate in line with best practices, accessibility, security, quality, and performance.
• Developed applications using build tools, Maven, and continuous integration using Jenkins.
• Followed the CI/CD process and ensured that the developed code passed the Sonar Qube quality gate standards.
• Used DBAG Artifactory Repository Manager for updated application images, versions, and jar files.
• Deployed the microservices using the container system Padman and container orchestration tools like OpenShift.
• Used Liquibase for the database version control system.
• Enhanced application performance by optimizing Java code and implementing efficient algorithms.
• Experienced in identifying and remediating known CVEs in third-party libraries using SCA tools to ensure secure and compliant security Clearing Services components, Fixed the issues in SCS components.
• Experienced in vulnerability remediation, including identifying security weaknesses, prioritizing risks, and implementing effective fixes to strengthen SCS System.
• Enabled mTLS for database authentication and broker setups to enforce encrypted, certificate-validated communications.

• Implementation of specified DevOps solutions to automate infrastructure (Terraform, Bicep, CloudFormation, Ansible) on-premises datacenter (Ovirt, Proxmox, Ceph Cluster, MinIO) and private cloud.
• Administration, configuration and implementation of CI/CD DevOps pipelines (GitLab, GitFlow) to support development process (Artifactory, Prometheus, Istio, service mesh, Helm Chart, OpenShift (Red Hat Enterprise) / Kubernetes cluster), Red Hat Satellite.
• Administration, setup, monitoring and patching of Linux infrastructure based on Red Hat Enterprise for Dev, Test and QA.
• Use of Scrum and Kanban methods.
• Administration, configuration and implementation of security standards for deploying on Dev, Test, QA and Prod stages of the new ePA applications.
• Development of new plugins and add-ons needed on current infrastructure.
• Database support.
• Data analytics support (Python, Spark, Pandas, Power BI, Splunk Enterprise).
• Implementation of best practices for DevSecOps and BizDevOps using GitOps (ArgoCD), Streamlit framework, Semaphore Ansible UI.
• Configuration and testing of iperf, uperf, sysbench using benchmark-operator for external source data and IoT/MDM devices, creating reports via ELK / OpenSearch.
• Building a new Databricks platform to collect and analyze big data from different sources and IoT devices into Hadoop framework (Python, Pandas, PySpark, Power BI, Apache Airflow).
• Building backend data aggregation and processing to automate configuration deployment between different OpenShift clusters and big data framework (Python, Pandas, PySpark, Apache Spark, PostgreSQL, Django 2, Ansible Automation, Jira JSM).
• Building a new ML pipeline platform using Kubeflow, TensorFlow, KServe.
• Data extraction, transformation and loading from different data sources including structured and unstructured data to analytic DWH / big data cluster using Python, Pandas, Polars, Power BI, Django backend and PostgreSQL.
• Setup of new DevOps Test and QA HashiCorp Vault cluster for PKI and IAM.
• Configuration and testing of automated patching based on CVSS score, SIEM-integrated CVEs.
• Use of Nexpose and InsightVM to scan vulnerability events in network, host, container and application.
• Design and implementation of secure and scalable AWS architectures including VPC, EC2, S3, RDS and Route53 and similar setups on Azure and GCP.
• Automated system provisioning and deployment using CloudFormation templates.
• Configuration of IAM roles, policies and permissions to ensure secure access control.
• Patch management, backup automation and disaster recovery setup on AWS infrastructure.
• Monitoring and optimization of system performance using AWS CloudWatch and AWS Trusted Advisor.
• Support of VMware services (vSphere, Aria, Horizon) and the virtual desktop environment.
• Development and maintenance of CI/CD pipelines using Jenkins, GitLab CI/CD and AWS CodePipeline with interface to Nutanix.
• Configuration of AWS CloudWatch to monitor application performance and system events.
• Planning and execution of migration of on-premises applications to AWS cloud platforms.
• Deployment of containerized applications using Docker and Kubernetes in AWS environments.
• Deployment of internal software packages between availability zones using AWS CodeDeploy.
• Building and deploying ML models using Scikit-learn, XGBoost and Spark MLlib including hyperparameter tuning, model evaluation and production deployment.

• Led multiple concurrent, enterprise-scale technical programs spanning backend services, APIs, identity platforms, cloud infrastructure, and security
• Actively participated in system architecture and design reviews, validating service interactions, data flows, security models, and scalability requirements
• Worked hands-on with engineering teams to decompose complex initiatives into technical epics, stories, and deliverables
• Reviewed technical approaches, migration strategies, and rollout plans to minimize operational and security risk
• Delivered SSO, MFA, directory services, SaaS integrations, and platform modernization impacting tens of thousands of users globally
• Drove Agile delivery across globally distributed teams; facilitated ceremonies, resolved blockers, and improved engineering throughput
• Established technical RAID logs, dependency maps, and milestone-based execution plans in regulated enterprise environments
• Acted as a trusted technical partner to senior leadership, translating complex engineering topics into business-relevant outcomes

• Product strategy and roadmap development for digital health portal
• Requirements engineering and feature prioritization
• User story definition and backlog management
• Prototype development
• Implementation of continuous delivery
• Search engine optimization
• Technological environment: Claude Code, Claude Sonnet 4.5, Agentic Coding, TypeScript, React, AstroJS, PostgreSQL, JetBrains IntelliJ, Netlify, Supabase, GitHub Actions, Git, DevOps, continuous delivery

• Central build and delivery for 20+ applications, 100+ pipelines/day, 700+ GitLab projects
• Build pipelines for Go, Java and JavaScript
• Provisioning of 100+ components
• Quality assurance via GitLab Code Quality and SonarQube
• Checks for dependencies, licensing and vulnerabilities
• Release creation via Jira and ServiceNow
• SBOM, Supply Chain Security, distroless images
• PoC GitLab Runner: Nomad vs. Kubernetes
• Technologies: Artifactory, buildah, GitLab Premium, Go, Gradle, Jenkins, Mend, Podman

• Project management
• Building an internal IAM team
• Okta
• Project management
• IAM processes

• Supported implementation and operation of a portal used online and offline in customer-facing vehicles
• Automated processes by introducing CI/CD pipelines
• Provided enablement and methodological guidance for adopting software engineering best practices
• System environment: NestJS, Node.js, npm, AWS, Docker, Docker Swarm, GitLab CI, WhiteSource, PostgreSQL, Prometheus, Grafana, OpenSearch, REST API

• Hands on solution architect
• Digital product development - SaaS
• Strategic consulting on software architecture, cloud migration and DevOps processes
• Coaching of software engineers and IT architects