Requirements:

• 3 to 6 years of professional software engineering experience, including backend services you have shipped and owned in production.
• 1+ years of production experience in Golang, or strong experience in another backend language and real enthusiasm for picking Go up quickly.
• A working understanding of low-latency, high-throughput distributed systems.
• Hands-on experience with SQL and/or NoSQL databases, and some exposure to event-driven architectures (Kafka or similar).
• Willingness to operate what you build, including a share of on-call, with a pragmatic approach to reliability.
• Uses AI tooling in day-to-day development and can critically evaluate its output for correctness and quality.

Nice to Have:

• Experience in fraud, risk, payments, lending, or financial crime.
• Experience with rules engines, real-time feature stores, or ML model serving in a decisioning path.
• Background in Kotlin, Java, Python, or Node.js alongside Go.
• Familiarity with cloud infrastructure (AWS, GCP).
• Experience working across multiple brands, regions, or regulatory regimes.

What You'll Be Doing:

• Build and maintain high-throughput, low-latency backend services in Go that score financial events in real time.
• Design fraud detection and automated enforcement for financial products end to end.
• Partner closely with risk analysts, data scientists, and product managers.
• Contribute to architectural discussions and technical decisions.
• Write well-tested, observable code and help the team hold a high quality bar.

Perks and Benefits:

• A product-oriented mindset and responsibility for outcomes.
• Comfort with ambiguity and a collaborative spirit.
• Clear and proactive communication with a focus on success together.
• An adversarial instinct and thinking like the attacker.