Jenkins Experts in Austria

Refactoring and improving core APIs; implementing client change requests. Setting up metrics, traces, and logs monitoring infrastructure to support operations. Designing GitOps deployment and infrastructure as code. Applications and systems configuration in ArgoCD and Openshift. Confluence documentation of design, approach, and solution. Tech Stack: Java 8 & 21, Spring framework, JSP, JavaScript, Bash scripts, SQL, Grafana Stack, OpenTelemetry, Docker, DB2, Maven, Kubernetes Kompose.

Senior Expert / Program Manager

IT Services

• Management of internal projects for infrastructure modernization: setup and maintenance of test environments that realistically replicate complex customer networks.
• Resource coordination: planning server capacities and cloud resources for automated test runs.
• Implementation of CI/CD pipelines to integrate automated tests into the build process.
• Evaluation of performance bottlenecks through load testing (NeoLoad/JMeter) to ensure scalability.

Tools / Technologies: Jenkins, Docker, GIT, ButBucket, NeoLoad, Azure

• Business analysis
• Requirements engineering
• System design
• Various insurance projects
• Technology stack: msg.Billing (InExkasso)
• Product: Pay-per-use car insurance based on blockchain and OBD-II real-time telemetry with AI

• Development of a power distribution solution for motorhomes
• Extension and adaptation of the existing prototype software for some parts of the power distribution system
• Development of missing firmware for other modules of the system
• Automation of the firmware build process through continuous integration (CI)
• Technologies used include C, Jira, Confluence, Git, GitHub, STM32, ESP32, CAN, CANopen, UART, and Zephyr

Tech: AWS (Glue, Lambda, Redshift), Airflow, PostgreSQL, Python, PySpark, Metabase, Power BI

Delivered: Analytics-Ready Data Models • Legacy SQL to Cloud ETL Migration • Dynamic Pricing Engine

• Owned and evolved the company data warehouse end-to-end — from ingestion to transformation to analytics-ready dimensional data models on AWS Redshift.
• Collaborated with Analysts, Data Scientists, and business stakeholders to deliver scalable dimensional data models that enable self-serve analytics and streamline dashboarding in Metabase and Power BI.
• Architected end-to-end ETL/ELT pipelines on AWS (Glue, Lambda, Redshift) using Python and PySpark, orchestrated with Apache Airflow (MWAA) for reliability and observability.
• Defined and enforced data quality standards and governance practices across pipelines and the core data layer.
• Led migration of legacy SQL infrastructure into scalable AWS Glue pipelines with distributed PySpark processing, eliminating bottlenecks and reducing downtime.
• Developed a dynamic pricing engine applying automated promotional discounts based on occupancy rates, competitor pricing, and location performance tiers.
• Designed schema mappings to ingest MongoDB data into structured relational systems (Redshift/PostgreSQL).

Project Tech Stack: Python, AWS, Azure, FastAPI, openai, pandas, unittest/pymock

Achievements:

• Engineered automated data extraction pipelines to transform complex Excel datasets into structured formats via LLM-driven workflows.
• Architected a generative slide-deck engine that translates natural language prompts into formatted presentation assets.
• Integrated advanced LLM capabilities with the OpenAI Response API, implementing sophisticated tool-calling and structured output logic.
• Developed and containerized scalable backend microservice using FastAPI, Docker, and OpenShift to host and serve agentic skills.

Implementation and operation of OpenShift / Kubernetes solutions for customers, focusing on aspects such as storage, virtualization, security, logging, monitoring, and high availability. Support with application containerization and modernization.

• Creation of test scenarios, manual test cases and test data using boundary value analysis and equivalence partitioning
• Execution of functional and non-functional tests (manual with Postman and web application, automated with WebDriver, JUnit and NUnit)
• Setup, automation and maintenance of the Test Automation Framework with Java, Spring Boot, Selenium and Cucumber in IntelliJ (system, regression, smoke, UI and integration tests for web frontend and SOAP API backend interfaces)
• Automation of backend NUnit test cases in Visual Studio
• Test management: development and implementation of the test strategy and test plans, test coordination, quality responsibility and prioritization of risk-based tests, as well as documentation management in Confluence
• Detailed analysis and quality assurance of requirements
• Creation and maintenance of Jenkins pipelines, quality assurance during build & deployment
• Close cooperation with business analysts, developers, testers and test management
• Identification, creation and tracking of errors/defects, as well as careful test documentation
• Reporting of test results and defect reports
• Monitoring of test processes and continuous improvement
• Verification of test data and test results in a PostgreSQL database in pgAdmin
• Support with effort estimates and backlog prioritization
• Analysis and debugging of development code

System environment: Java, JUnit, Spring Boot, Selenium, Cucumber, JavaScript, Jenkins, C#, NUnit, Postman, Bitbucket, Confluence, Jira, xRay, pgAdmin, PostgreSQL, SonarQube, Maven, IntelliJ, Visual Studio, CI/CD, SOAP API interfaces

• Lead software architect in a greenfield MES project (Manufacturing Execution System / factory control system), responsible for architecture decisions, technology selection, and technical direction throughout the entire development lifecycle
• Designed and built the core framework from scratch, including several reusable Spring Boot starters (e.g., OPC-UA integration, messaging, security) that enable flexible composition of the individual system modules
• Introduced Keycloak as the central authentication and authorization system with SSO across all MES components
• Created and owns the full CI/CD pipeline covering Java, NPM and Docker – automating build, test, containerisation and deployment across all project components
• Set up the architecture documentation space in Confluence as the single source of truth for all architecture decisions, component designs, and integration patterns
• Defined and enforced naming conventions and coding standards to ensure consistency in the growing codebase
• Conducted regular code reviews for quality assurance, knowledge sharing, and adherence to architecture guidelines
• Created and maintained technology roadmaps to guide future development priorities and infrastructure investments

• Deputy project manager for one of the largest projects in the Customs Union Code program, CEIS CDA for the Federal Ministry of Finance
• Budget planning and control
• Negotiations and ongoing communication with all relevant stakeholders
• Risk identification and assessment, and development of risk mitigation strategies
• Creation and implementation of action strategies to achieve project goals
• Efficient resource planning and allocation to support project requirements
• Managing the release process using agile methods and coordinating sprints for analysis, development, and testing phases
• Process optimizations and regular reporting for progress monitoring and decision making

• Owned day-to-day IT operations for Service Desk, Field Service, and on-call support, ensuring business continuity for a multi-site environment
• Led the transition from Lotus Notes incident tracking to ServiceNow, defining process design, workflows, roles, and reporting
• Implemented a modern telephony system with integrated reporting, enabling real-time visibility of volumes, wait times, and SLA adherence
• Launched a customer self-service portal and on-site walk-in support model to improve first-contact resolution and user experience
• Designed, documented, and rolled out SLAs, delivering targeted training for engineers and stakeholders to drive adoption and compliance
• Acted as process owner for service operations, establishing operating procedures, request/change/incident interfaces, and quality controls
• Partnered with business and IS/OT stakeholders to prioritize demand, reduce operational risk, and improve service reliability

• Implemented and maintained 443 automated test cases with a 99% pass rate (441/443)
• Enabled CI for test automation: automated runs on review/merge, reporting via Xray
• Introduced accessibility and performance checks and established them in reporting
• Served as QA lead in daily operations with stand-ups, Kanban progress tracking, prioritization, and targeted task distribution
• Handled defect triage and stakeholder communication with daily triage, QA status analysis, and actionable recommendations
• Developed and maintained a stable regression suite for CRM/Salesforce flows (UI/E2E and near-API validations)
• Integrated CI/CD using Jenkins pipelines with Groovy (IaC)
• Maintained QA documentation, test conventions, and processes in Confluence, aligned across the team
• Conducted Salesforce Einstein chatbot testing with intent/topic validation and output checks, and used Robot Framework/Python suites for continuous quality monitoring
• Technology stack: Jira, Xray, Confluence, Jenkins, Groovy, Git, Java, Selenium, Playwright, Cucumber, TypeScript, Postman, REST, Salesforce, Google Cloud, Lighthouse, Evinced, Scrum/Kanban, BDD (Gherkin)

• Project: E-Platform with 100k users
• Skills: Java, Spring, Spring Boot
• TechStack: Angular 18, Java 17, Spring Boot, Oracle DB, Spring Data, JPA, Hibernate, Oracle, Postgres, SQL