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• End-to-end penetration testing engagements across web applications, APIs, cloud environments, binary applications and internal/external infrastructure
• Simulation of real-world attacks to identify security risks before they become threats

Maintaining and supporting daily activities of the Travel and Expense and Company Card expenses associated with the Roche Global Credit card programs...

• Native Swift/iOS application development
• User interface and function design as planned
• Requirements gathering participation
• Project and technical planning participation
• Unit and UI test writing
• Developer testing participation
• Continuous learning

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• Alkalmazások fejlesztése microservice architektúrában
• Funkcionális és nem-funkcionális követelmények technikai megvalósítása
• Felhőinfrastruktúra konfigurálása és karbantartása
• CI/CD pipeline-ok kialakítása
• Meglévő alkalmazások optimalizálása

• Design and build CI/CD pipelines at enterprise scale
• Build and maintain a catalogue of reusable, pre-approved infrastructure modules and deployment patterns
• Work with containerization and orchestration
• Set up observability including logging, metrics, tracing

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team for translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

• Development, customization, and maintenance of ServiceNow applications, modules, and integrations
• Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions

• Building AI-assisted development workflows for code understanding, documentation, build triage, and handover preparation
• Implementing and maintaining AI-assisted engineering utilities for repository indexing, code summarization, dependency extraction, log parsing, and documentation generation

• Operating and supporting several systems in Azure
• Designing and continuously improving monitoring, alerting, and logging
• Supporting incident handling including troubleshooting, root-cause analysis, and prevention
• Building operational automation such as runbooks and standardized procedures

• Participation in projects providing unique and comprehensive professional knowledge
• Understanding clients’ needs and acting as translator between client and developers
• Responsibility for used functionalities at clients and related questions

• Design and build secure infrastructure foundation for AI-assisted software development
• Operate Kubernetes environments hosting AI engineering tools and services
• Implement GitOps and Infrastructure as Code patterns for provisioning and configuration

• Support modernization, stabilization, and enterprise readiness of existing Windows desktop applications
• Improve installer architecture
• Standardize deployment workflows
• Enhance CI/CD pipelines
• Ensure reliable update and installation experience
• Maintain and stabilize existing auto-update mechanism

• Maintenance of existing Android application with focus on stability, reliability, and production readiness
• Investigation, prioritization, and fixing of critical and high-impact bugs especially around release periods
• Provision of timely fixes to unblock scheduled releases

• Ownership of backend services throughout their lifecycle including design, implementation, testing, deployment, operation, and continuous improvement
• Translation of product and business requirements into maintainable technical designs with clear communication of risks and trade-offs

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Design and implement pipelines to ingest, clean, and transform data into Data Lakes and Data Warehouses
• Active monitoring and optimization of pipelines for performance and cost
• Configuration of pipeline deployments and management of environment settings using IaC tools and CI/CD

• Working together with the client on their requirements
• Transferring requirements to the backlog of understandable and estimable project tasks
• Understanding priorities
• Preparing release/sprint plans
• Focusing on maximum transparency when working with stakeholders

• Monitoring configuration, maintenance and usage of environments with virtual machines and cloud based infrastructures (Kubernetes)
• Cooperation with platform engineers, software architects, delivery teams and operational units