Staff Software Engineer, Incentive Offers

About the role

The real world is the next frontier, and at Metropolis, we are creating the artificial intelligence to make it responsive. We are pioneering the Recognition Economy - a future where mundane repetition disappears and being known unlocks access, comfort, and belonging everywhere you go. From transforming parking into a seamless drive-in, drive-out experience for millions of Members to expanding our intelligence layer across retail and hospitality, we are building a world that feels instinctive and magical. The future isn't coming; it's here, and we need builders, innovators, and problem solvers to help us create it.

Responsibilities

• Define the technical strategy and long-term roadmap for the Incentive Offers platform
• Architect scalable services for offer management, campaign eligibility, and business rule enforcement
• Design high-throughput infrastructure for real-time member communication and preference management
• Develop identity resolution systems that connect physical-world vehicle signals with digital member profiles
• Build robust attribution and measurement engines to track closed-loop redemption across diverse verticals
• Engineer seamless integrations between our platform and external partner systems or point-of-sale technologies
• Mentor senior engineering talent and advocate for high standards of engineering craft and efficiency
• Solve complex distributed systems problems related to high-volume transaction processing and data consistency
• Partner with Product and Marketing leaders to translate business objectives into scalable technical solutions
• Identify and resolve systemic bottlenecks to improve developer velocity and system reliability

Requirements

• Advanced degree in Computer Science or a related technical field
• 8+ years of experience building customer-facing applications and complex distributed systems
• Demonstrate expert proficiency in Scala, Java, or similar JVM-based languages
• Experience with AI/ML tools to improve engineering productivity or system intelligence
• Show a proven track record of leading technical strategy for significant engineering initiatives
• Possess a strong background in architecting data-intensive platforms and real-time event-driven systems
• Communicate complex technical concepts effectively to both technical and non-technical stakeholders
• Mentor engineers to foster a high-performance engineering culture and technical growth
• Design for operational excellence including observability, monitoring, and automated testing
• Navigate high levels of ambiguity and deliver results in a fast-paced environment
• While not required, these are a plus:
• Familiarity with marketing technology stacks or consumer-facing loyalty platforms
• Experience working in high-growth startup environments or industry-leading tech companies
• Our Stack
• Languages + Frameworks: TypeScript, React, Scala (principally), Java (limited)
• Datastores: MySQL, PostgreSQL, Snowflake
• Cloud: AWS
• Version control: Git & GitHub
• AI Tooling: Copilot on GitHub and Claude Code
• Observability: Datadog

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