Senior Software Engineer, Metropolis

• BS or MS in Computer Science or equivalent work experience
• 6+ years of software engineering experience
• Demonstrate advanced-level knowledge of Scala, Java, or a related language
• Proven track record of designing and delivering large-scale distributed systems and software products
• Experience with microservices, event-driven architectures, and related technologies
• Demonstrate a deep understanding of Agile engineering processes, including TDD/BDD and CI/CD
• Experience with database technologies, especially MySQL and Postgres
• Communicate complex technical information clearly and concisely to a variety of audiences
• Show a track record of completing projects of large scope independently
• Demonstrate deep AI fluency to drive the technical architecture and execution of next-generation intelligence models

Desirable

• Metropolis is seeking a Senior Software Engineer to join our Recognition Intelligence Applications team
• In this role, you have a primary responsibility for building innovative AI solutions that process camera input to identify behavior and intent, delivering a seamless "pass for everywhere" for our end-users
• You have an expert understanding of internal systems and have established yourself as a strong steward of the tools and features your team relies on
• As a product-oriented influencer, you identify opportunities for improvement and drive technical changes to address issues that slow down the development of experience orchestration tools for luxury resort chains
• You take responsibility for the engineering craft of your projects and can effectively lead a small team toward common goals as we incubate 0-to-1 initiatives
• Design, implement, and maintain the backend services that make up the Metropolis recognition platform
• Participate as a key part of the entire development lifecycle, including ideation and identifying requirements
• Moderate technical discussions and evaluate new techniques to ensure our platform is constantly evolving
• Leverage best practices in automation testing and deployment to enable rapid iteration and launch of new features
• Help build a culture where bugs and mistakes in production are treated as opportunities to improve the platform
• Ensure that the systems we build are highly available and scalable
• Work directly with our partners and build solutions that seamlessly integrate their products with the Metropolis platform
• Lead a team towards common goals while facilitating clear and well-communicated outcomes
• Identify and drive changes to improve the components or systems you work on
• Provide detailed positive and constructive feedback to help the team reach a consistently high level of productivity
• 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