Technical director állások Budapesten (it programozás, fejlesztés)

• Leading and mentoring a cloud engineering team of 5-7 cloud engineers
• Providing direct line management, coaching, and professional development for a team of cloud engineers and migration specialists
• Fostering a high-performing, technically excellent team focused on secure and scalable migrations

• Building and leading a high-calibre Product & Engineering function with strong technical credibility and operational judgement
• Hiring, developing, and aligning engineering leaders and specialists across sports and disciplines within Performance & Insights

• Engineering execution across the Veeva Platform ecosystem
• Translation of platform engineering strategy into executable plans and measurable outcomes

• Drive commercial delivery of next-generation tracking products through field trials and full commercial launch
• Shape agentic development culture by organizing development around AI-delegation and AI-augmentation models
• Set the bar and hire talent with proven fluency in agentic development at scale

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML/MLOps projects
• Ensuring successful execution of cloud migration projects

• Leading a data engineering team comprising 5-6 consultants
• Overseeing project delivery
• Managing and mentoring the team
• Ensuring successful execution of data engineering projects
• Ensuring successful execution of ML and MLOps projects
• Ensuring successful execution of cloud migration projects

• 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

• Leading a global engineering organization across several teams and products within a business domain
• Setting the technical and organizational strategy
• Accountability for delivery, reliability, security, and overall performance of the organization

• Understanding new Arm architecture and IP features and their implementation
• Devising promotion of benefits to software ecosystems and resolving adoption issues
• Analysis and deep understanding of software solutions deployed in products, particularly major open-source projects such as Linux

Az Agentic AI Platform alapvető elemeinek kialakítása és továbbfejlesztése, beleértve az agent futtatási környezetet, az orchestrációt, a human-in-the-loop megoldásokat, a rendszerellenálló képességet, a RAG-infrastruktúrát, a tool registry-t és az életciklus-kezelési szolgáltatásokat....

• Leading engineering teams responsible for platforms, tooling and capabilities
• Leading approximately 10–12 engineers across Delivery and Observability
• Working closely with Tech Leads, Architects, application engineering teams and other Engineering Leaders

• Design and build the next generation of the single-security analytical modeling platform using C++23 and Python 3
• Influence the strategic development of analytical services in Aladdin by understanding business processes, identifying bottlenecks, and improving cloud-compute performance

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

• Support in development, quality assurance and product management
• Working closely with team members to ensure successful project completion and roll-out services support
• Enabling continuous improvement support
• Vacation planning of direct reports

• 40% SCADA Technical Leadership & Engineering
• Lead the technical design, specification, and implementation of SCADA and control systems for energy projects, particularly in the offshore wind domain.

• Ownership of end-to-end lifecycle of domain data products including design, development, operationalization, evolution, and retirement
• Leadership of technical delivery across data ingestion, pipelines, transformations, APIs, and data engineering processes within the domain

• Leading a Core Modelling team building the foundational CAD engine
• Regularly reviewing and challenging engineering design documents
• Building and mentoring a high-performing engineering team
• Contributing to strategic planning and execution as part of the Engineering Leadership Team

• Design, build, and operate enterprise-grade Agentic AI platforms
• Own architecture and delivery
• Mentor engineers
• Partner closely with client and internal teams
• Run secure AI environments at scale under strict regulatory and security requirements
• Architect Zero-Trust environments for LLM-based solutions

• Architect cloud-native AI applications integrating LLMs vector search and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines model serving and AI agents in production
• Lead cross-functional teams (Full-stack AI Data)

• Lead AI-assisted software engineering activities for Meridian by designing repeatable SDLC patterns
• Anchor the engineering approach for OpenStack-derived services, repository-scale understanding, and sovereign software handover readiness