E learning állások XI. kerületben (it programozás, fejlesztés)

• Writing and maintaining clean, high-quality, efficient and well tested code aligning with project specifications
• Architecting and implementing key abstractions bridging the gap between Software Engineering and DevOps
• Proactively identifying pain points in the platform and proposing elegant solutions

• Frontline contact for customers in need of support
• Education of customers on the product, usage, and features
• Diagnosis, troubleshooting, and resolution of technical issues
• Escalation and follow-up of complex cases with key collaborators

• Creation and preparation of 3D assets, environments, and scene layouts for Omniverse and OpenUSD workflows
• Assembly of digital-twin scenes for industrial, facility, product, or enterprise visualization use cases

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace for Tulip hardware
• Working alongside product management and customers to identify key features and product performance
• Maintaining the Tulip Operating System including building, packaging, and support

• Proficient use of modern frameworks
• Utilizing the most cutting-edge development environments: Docker, Kubernetes
• Developing high-availability, prestigious enterprise frontend applications, such as the portals of OTP Bank and Magyar Telekom

leading or taking part in Cybersecurity consulting or compliance related projects as expert and/or professional leader in various industry sectors...

•Working closely with Test Engineers and Developers to understand product requirements and ensure high quality in releases •Testing Siemens SIMATIC S7 PLC and HMI product families’ engineering systems and hardwares •Executing test cases (manual and/or automated) and analyzing results •Writing and...

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Risk classification and residual risk handoff for application domain
• Severity adjudication and risk framework management
• Vulnerability management including triage and remediation partnership
• Design and implementation of compensating controls for vulnerabilities

• Management of big data, cloud engineering, and machine learning projects for EMEA customers
• Leading end-to-end customer projects from kick-off to project closing
• Managing project and team day-to-day operations
• Handling customer communications and resolving escalations

• Support project charter preparation during the quotation phase through handover to the execution team.
• Provide technical bid support, including requesting quotations from internal and external suppliers.

Assess and document downstream impact of Skills and Job Architecture data quality issues across payroll processing, management reporting, third-party integrations, and AI/machine learning model inputs...

• Design and implement automation for storage provisioning, capacity management, and operational workflows using Python, Bash, and IaC tooling
• Drive reduction of manual toil through scripted workflows and self-service enablement

• Lead the design and development of Power BI reporting and analytics solutions for enterprise clients,
• Facilitate workshops and meetings with business stakeholders to understand reporting and analytical requirements,
• Translate business needs into functional and technical specifications,

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

Collaborate with stakeholders to understand the customer needs and with IT management to shape the strategical directions based on internal requirements and market insights (covering problem analysis, diagnosis collection, research, assessment of business operations,...

• Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale
• Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API connections that power autonomous, end-to-end data workflows

• Drive and support business development gaining new SAP projects in various industry sectors
• Acting as an professional project lead in SAP implementation and transformation engagements
• Taking part in SAP implementation projects

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• Joining junior team assisting with latest projects
• Learning skillset necessary to contribute including working with source code and applying development processes
• Attending online brainstorming sessions regularly
• Learning best practices and key technologies to quickly become productive