Blockchain intelligence and compliance solutions for financial institutions, governments & regulators
VP of Engineering
Location
Portugal
Posted
9 days ago
Salary
0
Seniority
Lead
Job Description
VP of Engineering
Crystal Intelligence
• Own the platform migration end-to-end • Lead the integration of the new data pipeline into all Crystal products: Crystal Expert, Crystal Foresight, Monitor, Risk Check API, Data Intelligence, and Crystal Light • Sequence the migration to preserve revenue and customer trust: no SLA regressions, no rollback drama, no surprise downtime • Drive the architectural decisions and trade-offs that the legacy-to-new transition requires, including data model alignment, service-by-service cutover, and parallel-run validation • Hold engineering, product, and customer success aligned on a single migration roadmap with clear customer-impact gates • Restore platform foundations • Bring API and core platform latency back to target: 1,000 RPS at sub-two-second latency, scaling toward 10k RPS • Reduce database load, fix stability regressions exposed by recent releases, raise release velocity to multiple deployments per week • Lead the multi-chain platform with discipline across 100+ chains: predictable integration timelines, accountable squad ownership, clear SLAs to commercial partners • Rebuild the engineering management layer • Partner with the existing engineering leadership to establish clear accountability across squad leads, engineering managers, and platform teams • Set the standard for what good engineering management looks like at Crystal: predictable delivery, transparent planning, technical depth, people development • Make the hiring, performance, and structural decisions required to bring the organization to the level the platform demands • Drive AI into engineering as a productivity lever • Build shared infrastructure for AI-assisted engineering: code generation, automated testing, agent-based migration tooling, internal knowledge systems • Move Crystal from individual AI tool usage to organization-wide AI productivity, with measurable impact on delivery throughput • Reduce OpEx-to-revenue through architectural improvements, automation, and reduction of manual operational load • Partner with the business • Work directly with product, GTM, customer success, and finance to translate engineering investments into customer outcomes and revenue • Communicate trade-offs, risks, and progress clearly to the executive team and board • Own the engineering budget, hiring plan, and vendor decisions
Job Requirements
- 10+ years engineering experience, with 5+ years leading platform, data, or infrastructure organizations as VP Engineering, Head of Engineering, or equivalent
- Led at least one major platform migration or large-scale rebuild, with continuous customer service maintained throughout
- Operated low-latency, high-availability distributed systems with multi-tenant SaaS workloads at production scale
- Production experience integrating AI into engineering workflows, including agent-assisted development and AI-driven automation
- Strong product partnership instincts - you have shaped what gets built and how it ships
- Track record of building accountable, high-ownership engineering organizations
- Direct experience in one or more relevant domains: blockchain or crypto, fintech, payments, fraud or risk platforms, regulatory technology, or large-scale data platforms
Benefits
- Competitive salary
- Flexible working hours
- Professional development budget
- Home office setup allowance
- Global team events
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