Senior Software Engineer - Marketing Platform

Requirements

• 5+ Years of working as a software engineer
• Solid knowledge of relational databases and designing data models for correctness and performance
• Experience building distributed and concurrent systems (e.g., Kafka or equivalent)
• Strong engineering fundamentals: testable code, unit + integration testing, and pragmatic testing strategies
• Clear communication: able to explain technical decisions to non-technical partners
• A product mindset: prioritize customer outcomes and use data to guide decisions
• Comfortable working independently on ambiguous problems, taking end-to-end ownership

Nice to Have

• Hands-on experience with scraping technologies at scale and maintaining data quality/accuracy
• Experience building backend systems with Java or Kotlin (or another JVM language)
• Experience with Spring (or similar JVM frameworks)
• Experience operating data-heavy systems with strong observability (monitoring, alerting, data quality checks)
• Experience with measurement/attribution, marketing platforms, or comparison products (not required)
• Fintech or regulated-environment experience (not required)

What You'll Be Doing

• Build the backbone: backend systems and APIs that power Wise’s comparison experiences
• Make scrapers feel “magical”: help define the roadmap for using LLMs and proven techniques for stable data collection
• Turn competitive pricing into a real-time advantage: expand and strengthen competitive intelligence system
• Obsess over data quality: build ingestion and validation pipelines with strong monitoring
• Design for scale: operate distributed, event-driven systems
• Work like a small team building something big: collaborate daily with product, engineering, analytics, and data teams
• Own the whole experience: from shaping the solution to implementing, testing, releasing, and monitoring

Perks and Benefits

• You’ve embedded into the team, understood goals, and contributed to planning cycles
• Shipped production features end-to-end and monitored their impact
• Built confidence in Wise’s domain and engineering practices, and helped improve team processes