VP, Software Engineering at Diligent Governance Hungary Korlátolt Fe – Budapest | Jobyssey

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
Embedding AI-native practices across the software development lifecycle
Standing up reusable platform and AI capabilities
Championing the adoption of AI tooling and agentic workflows to accelerate engineering productivity
Delivering production-grade systems balancing speed with rigor including security, privacy, and compliance
Operating across multiple concurrent initiatives with clear prioritization
Hiring, coaching, and developing senior engineering leaders and experts
Designing the organization for scale across regions
Planning workforce against budget and delivery commitments
Building an inclusive, high-performing culture grounded in accountability, experimentation, and continuous improvement
Partnering as an equal with Product Management to shape vision, roadmap, and product priorities
Working closely with Executive Leadership, UX, Security, Data, and Customer teams
Representing engineering at executive forums
Communicating and influencing at every level acting as a bridge between engineering and the business
Aligning cross-functional teams around shared goals and timelines

15+ years in software engineering including 5+ years leading large, global engineering organizations through Directors and managers
Ownership of business outcomes for an engineering organization including delivery, reliability, security, and overall performance
Partnership as an equal with Product Management to shape vision, roadmap, and priorities
Experience leading engineering for enterprise SaaS products at significant scale
Execution with rigor delivering production-grade systems balancing speed with security, privacy, and compliance
Bias for action and thriving in fast-moving, ambiguous environments with focus on measurable business impact
Deep fluency in modern software engineering including cloud-native architecture, platform engineering, microservices and API-first design, DevOps, data platforms, and AI/ML
Technical credibility to earn trust of senior engineers engaging in key architecture and technical decisions
Championing AI-native ways of working with a track record of AI adoption and large-scale technology modernization
Track record of operational excellence and reliability engineering including SLOs, incident management, quality, security across always-on services
Designing organizations for scale across regions and planning workforce and budgets against delivery commitments
Communication and influence at executive level bridging engineering and business and aligning diverse stakeholders
Hiring, coaching, and developing senior engineering leaders and experts
Building diverse, inclusive, high-performing cultures

Experience delivering software in a regulated or security-sensitive domain such as GRC, governance/risk/compliance, fintech, or other trust-critical enterprise software
Hands-on familiarity with modern AI platforms and agentic tooling including LLMs, RAG, agent frameworks, MCP, AI-assisted development
Experience leading distributed, multi-region engineering teams
Experience scaling engineering organizations through significant growth, M&A integration, or platform consolidation

Flexible work environment
Global days of service
Comprehensive health benefits
Meeting free days
Generous time off policy
Wellness programs

VP, Software Engineering

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