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Candidate Requirements:
• 6+ years of engineering leadership experience, managing multiple teams through Engineering Managers and Tech Leads.
• Strong background in high-transaction, low-latency software environments, preferably within FinTech, PayTech, or web-scale SaaS platforms.
• Deep familiarity with modern tech stacks, typically including Go, Java, TypeScript, Kubernetes, and cloud infrastructure ecosystems. 140,000 - 170,000 Year +Share Options +Relocation Support
About the Client: A high-velocity, pan-European FinTech scale-up delivering embedded banking API solutions and real-time transaction reconciliation software to digital-first enterprises.
Seien Sie einer der ersten Bewerber, lesen Sie den vollständigen Überblick über die Rolle unten und senden Sie dann Ihre Bewerbung zur Prüfung ab. The Role: The VP of Engineering will take operational command of the software engineering division, driving execution, delivery predictability, and organizational structure.
You will manage several cross-functional engineering squads, working closely with Product Management to turn the corporate roadmap into elegant, functional code.
Key Responsibilities:
• Scale the engineering department by implementing effective hiring, onboarding, and retention frameworks for top developer talent.
• Optimize software delivery lifecycles, ensuring high velocity without compromising on code quality, security, or stability.
• Drive technical excellence by establishing rigorous testing, code review, and architectural alignment practices across all squads.
• Manage the engineering budget, allocating resource spend strategically between feature development and architectural maintenance.
Who We Are: IN2 SaaS Recruitment is a premier, dedicated talent partner specializing exclusively in the global SaaS and technology ecosystem. With deep-rooted networks spanning EMEA and North America, we connect hyper-growth scale-ups and established enterprise software vendors with transformative leadership talent.
We pride ourselves on our consultative, data-driven approach, ensuring an elite match for both complex technical structures and fast-paced commercial environments. xayajpt
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