Senior Software Engineer - Full-stack - Growth Product

Kraken is a mission-focused company dedicated to accelerating the global adoption of crypto and blockchain technology. They are seeking a Senior Product Engineer to join the Growth Engineering team, where the role involves solving complex problems and delivering impactful features across web and mobile platforms to drive user engagement and business outcomes.

Responsibilities:

• Partner with product managers, designers, and analysts to identify growth opportunities and turn them into high-quality, data-driven engineering solutions
• Implement reusable services and components that power marketing campaigns, onboarding, KYC, and first-funding experiences across web and mobile
• Collaborate on distributed systems that handle large volumes of global traffic while maintaining high performance and reliability
• Participate in design and architecture discussions, balancing user impact, scalability, and maintainability
• Measure, experiment, and iterate — using data and experimentation frameworks to understand what drives user behavior
• Uphold and improve engineering standards, performance, and security practices across the stack

Requirements:

• 5+ years of software engineering experience, including building and maintaining production systems at scale
• Proficiency in building full-stack applications using one of the following: TypeScript, Rust, Go, Python, or Ruby, and React or React Native
• Understanding of distributed systems, performance optimization, debugging, and secure software design
• Familiarity with infrastructure and tooling such as Docker, Kubernetes, Terraform, MySQL/MariaDB, Redis, or GitLab CI/CD
• A product mindset — you care about how your work moves key metrics, not just about the code itself
• Ability to operate autonomously in a globally distributed, remote-first environment
• Experience with A/B testing, analytics instrumentation, or experimentation platforms
• Background in growth engineering, user funnels, lifecycle, or conversion optimization
• Familiarity with data analysis tools or experimentation frameworks