Senior Software Engineer Recognition Intelligence Applications

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.

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

• 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 

• Possess hands-on experience with container technologies and infrastructure as code techniques
• Work experience in innovative high-growth environments
• Experience with leveraging AI technology to identify behavior and intent from camera input
• Previous experience incubating 0-to-1 projects or initiatives within a mobility or hospitality vertical

• 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

4 Days in Office: Metropolis values in-person collaboration to drive innovation strengthen culture and enhance the Member experience. Our corporate team members hold to our office-first model which requires employees to be on-site at least four days a week fostering organic interactions that spark creativity and connection

When you join Metropolis you'll join a team of world-class product leaders and engineers building an ecosystem of technologies at the intersection of parking mobility and real estate. Our goal is to build an inclusive culture where everyone has a voice and the best idea wins. You will play a key role in building and maintaining this culture as our organization grows. The anticipated base salary for this position is $150000.00 USD to $200000.00 USD annually. The actual base salary offered is determined by a number of variables including as appropriate the applicant's qualifications for the position years of relevant experience distinctive skills level of education attained certifications or other professional licenses held and the location of residence and/or place of employment. Base salary is one component of Metropolis' total compensation package which may also include access to or eligibility for healthcare benefits a 401(k) plan short-term and long-term disability coverage basic life insurance a lucrative stock option plan bonus plans and more. #LI-RR1 #LI-Onsite

What We Do

Metropolis Technologies Inc. is an artificial intelligence company whose computer vision platform enables checkout-free payment experiences for the real world. Its proprietary AI-driven technology reaches more than 50 million customers while reducing costs increasing transparency and capturing additional revenue for real estate partners. Following its take-private acquisition of SP+ Metropolis is now the largest parking network in North America with more than 4000 locations. To learn more about Metropolis please visit www.metropolis.io.

Why Work With Us

We’re not your typical technology company. We’re world-class software and hardware engineers we’re neighborhood urbanists and operators we’re caring customer support specialists we’re nerdy data scientists and machine learning engineers we’re designers and architects… and many things in-between and beyond.

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