Software development engineer állások XII. kerületben középiskolai végzettséggel

• KPI tracking of 3PL service providers
• Invoice control checks and payment advice provision
• Creation of monthly performance reports to generate compensation claims
• Assistance to supervisor and team members with daily activity management

• Designing applications to meet business process and application requirements
• Building applications to meet business process and application requirements
• Configuring applications to meet business process and application requirements
• Collaborating and managing the team to perform effectively

• Building and operating Kubernetes platforms on Open Telekom Cloud
• Managing Infrastructure as Code with Terraform and Terragrunt
• Implementing GitOps delivery using ArgoCD
• Operating PostgreSQL and Apache Kafka on Kubernetes
• Integrating security controls into CI/CD pipelines

• Building, configuring and maintaining bare metal hosts and Kubernetes clusters to run GPU/AI workloads
• Designing and operating NVIDIA AI related software stack (Slurm, Run AI)
• Providing customized application support for AI related workloads

• Design and develop scalable cloud security automation solutions across multi-cloud environments
• Build and maintain platform services using modern engineering practices and a code-first approach
• Own and enhance CI/CD pipelines that enable secure, reliable and efficient delivery

• Implementáció IT Service Management vagy Service Integration folyamatokban ServiceNow platformon
• Integrációk megvalósítása harmadik féltől származó eszközökkel REST, SOAP, email, MID szerver használatával
• Adatbázis tervezés és adatmodellezés ServiceNow platformon, CSDM ismeret

• Development and ownership of process training materials for assigned portfolios using the Assima authoring tool
• Maintenance and continuous updates of existing training assets across Product Increment cycles
• Quality assurance and governance of training assets to meet ASPIRE standards

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Strengthening Meridian software handover readiness by combining AI-assisted software engineering with code quality, security validation, dependency analysis, and build evidence generation for complex cloud platform repositories
• Trustworthy validation of large codebases

Support Meridian technical due diligence and transition readiness by using AI-assisted software engineering methods to understand OpenStack-derived cloud services...

• Analysis of payment and fraud data
• Ownership of performance, tuning, and optimization of fraud detection systems and tools
• Extraction, cleaning, and analysis of daily/periodic transaction level reports
• Preparation of ad hoc materials on data points such as AVS/CVV outcomes and fraud rule performance

• 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

• 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

• Analysis and assessment of security alerts generated by SIEM, EDR/XDR, IDS/IPS, firewall and cloud security solutions
• Investigation of suspicious activities by reviewing security logs and identifying affected users, systems and potential attack paths

• Cobol alapú rendszerek fejlesztése és karbantartása
• Üzleti logika implementálása nagyvállalati környezetben
• Rendszerek működésének megértése és optimalizálása
• Hibakeresés és problémamegoldás
• Együttműködés modern technológiákkal dolgozó csapatokkal

• Design, develop, and maintain automated test suites as code using Java
• Create BDD-based automated test scenarios using Cucumber against REST APIs
• Automate API testing for OAuth 2.0 and OpenID Connect (OIDC) authentication and authorization flows using RestAssured or similar tools

• 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

• Architect Zero-Trust environments for LLM-based solutions
• Implement private networking (Private Link), granular RBAC (Entra ID), and automated policy enforcement
• Ensure compliance with enterprise security and audit standards
• Bridge Data Science and Engineering

• Ownership of detection capabilities from idea to customer impact across the AI/ML detection portfolio
• Building and maintaining data pipelines for models including sample sourcing, collection, labeling workflows, feature extraction, and dataset versioning

• Coordinating and assigning QC requests to in-house or external linguists
• Tracking the progress of freelance QC projects to maintain quality, delivery schedules, and budget adherence
• Managing daily communication with QC clients regarding project status