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

• Owning net-new pipeline and revenue across the service lines
• Running and sharpening the outbound engine
• Managing and developing an SDR
• Refining sequences and account-based plays
• Keeping the tooling stack tuned with an external GTM partner
• Setting the bar for activity and conversion

• Definition of end-to-end scalable, resilient and efficient architectures for advanced AI systems
• Collaboration with delivery teams to translate architectural designs into work items
• Identification and resolution of architectural challenges during project execution

• Owning a revenue target across data, advanced analytics, and predictive AI
• Leading executive-level client conversations, joining deals early to diagnose the business problem, structure a solution, and build the ROI case that gets the client to sign

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• taking part in large IT projects as a subject matter expert, depending on your previous experience (e.g. architecture design, IT system and IT landscape reviews, vendor selection, quality assurance)
• analyzing clients’ IT environments, applications, and architecture landscapes

• Development of high-availability, high-prestige enterprise portals and applications
• Participation in system integration projects in both international and domestic markets
• Use of the following technology stack: Java 17+, Spring Boot, J2EE, SQL, Maven, REST, JSON

• Contribute to MDM strategy development
• Contribute to IT projects, developments to ensure the satisfaction of stakeholders
• Lead the professional execution of solution design, implementation and unit testing activities
• Participate in ERP related projects as Developer

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

• Development of the Tulip OS
• Maintenance and support of bootloader, kernel, and userspace development for Tulip Hardware
• Identification of key features and product performance
• Contribution to strategic planning
• Maintenance of the Tulip Operating System including building, packaging, and support

• Act as the frontline contact for customers in need of support and provide timely, accurate, and complete responses to inquiries
• Educate customers on the product, usage, and features
• Diagnose, troubleshoot, and resolve technical issues, working with cross-functional teams as needed

• 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

• Managing day-to-day operations of Databricks data pipelines, including monitoring, troubleshooting, and performance tuning
• Maintaining Delta Lake data layers (bronze / silver / gold), ensuring data availability, consistency, and smooth pipeline execution

•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

• 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

• 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

• 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

• 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