What You'll Need: 7+ years of software engineering experience shipping production systems through complete lifecycles Proven expertise designing and building data-intensive services - pipelines, enrichment engines, or event-driven architectures at scale Strong proficiency in Go, Java, and Node.js (working across multiple stacks, not just one) Experience with MongoDB, Kafka, and event-driven microservice patterns Quality-focused mindset - you ship reliable software that works in production at scale Strong collaboration skills - you work effectively across engineering, product, support, and sales teams BS/MS in Computer Science or equivalent real-world experience Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.