Software development engineer állások IX. kerületben középiskolai végzettséggel

• Producing code to a high standard
• Owning feature development for web-based graphics tools, broadcast control panels, and interactive overlays
• Managing code releases safely across Dev, Test, Staging, and Production environments
• Using APIs efficiently to GET and POST complex tracking data structures

• Producing clean, functional code following established team patterns
• Building and refining UI components for dashboards, charts, and data tables
• Integrating frontend applications with data infrastructure handling JSON data structures

• Producing code to a high standard
• Owning feature development for heavy-duty analytics dashboards, charts, and tables
• Managing code releases safely across all environments including Dev, Test, Staging, and Production

• 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

• 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

• Participation in an end-to-end agile team with developers, QA engineers and UX specialists
• Involvement in all aspects of software development from architecture and design to coding, unit and end-to-end testing and data model management
• Designing and implementing new features

• Operational reliability, performance and resilience ownership of the Global Fabric NaaS platform
• Support and troubleshooting of microservices, APIs and integrations across the NaaS ecosystem

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

• Build and evolve CI infrastructure that validates performance methodologies across cloud, on-prem, and hardware targets
• Design controlled, reproducible test environments that help distinguish real regressions from environmental noise when running and profiling targeted workloads

• Leading regional marketing strategy to drive revenue growth
• Driving successful New Product Introduction launches
• Creating a scalable, high-performing marketing funnel with measurable tracking

• 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

• Automatizált UI és end-to-end tesztek fejlesztése, karbantartása és stabilizálása webalkalmazásokhoz
• Webes tesztautomatizálási keretrendszerek használata és továbbfejlesztése (pl. Playwright, Selenium, Cypress)
• Tesztek integrálása CI/CD folyamatokba

• Mapping current data usage and dependencies
• Supporting critical data element definition
• Coordinating data quality assessment and monitoring
• Supporting governance forums and stakeholder engagement
• Supporting EDP onboarding and data product readiness
• Maintaining governance documentation and controls

• 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

• Build and operate multi-cluster containerized environments across cloud platforms
• Create end-to-end CI/CD pipelines for cloud-native applications and machine learning workloads
• Lead cost-optimization and FinOps initiatives for GPU, storage and data-egress spend

• Managing and migrating ETL pipelines between various source systems
• Validating pipeline build success and output data quality
• Communicating with business stakeholders and SME's regarding their respective data domain
• Analysing and resolving blockers and issues with ETL pipelines and data discrepancies

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations
• Provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Planning, creating, executing, and maintaining automated test cases
• Analyzing and documenting the results of automated tests
• Reporting defects
• Collaborating closely with cross-functional team members
• Contributing to the continuous improvement of testing processes