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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.
Who you areMetropolis is seeking a Senior Core Engineer who is an adaptable, systems-level problem solver eager to build the core infrastructure powering thousands of smart spaces, computer vision edge platforms, and unified enterprise security systems globally. In this role, you will bridge edge hardware and cloud environments, architect high-performance microservices, and optimize system reliability at scale. Working alongside cross-functional teams across the US and internationally, you will leverage cutting-edge AI tools to accelerate development, drive critical architectural reviews, and deliver real-world impact in an energetic, AI-first engineering culture.
What you'll do- Design, develop, and scale high-performance microservices and edge platform services, primarily in Go
- Own critical systems spanning edge hardware such as Nvidia Jetson/Orin fleets and custom Linux/Yocto builds through to cloud services like AWS and Kubernetes
- Leverage AI development tools and agentic workflows to accelerate debugging, system analysis, and software quality
- Drive deep system reliability, memory/performance optimizations, and observability pipelines including metrics, structured logging, and real-time alerts
- Lead architectural design reviews, collaborate with teams across the US and internationally on unified migrations, and mentor fellow engineers
- B.Sc. in Computer Science or a related field
- 6+ years of experience building complex, high-scale backend or distributed systems
- Primary backend production experience in Go, C++, Java, or similar languages
- Proven ability to reason about complex system behavior, design modular interfaces, and build for long-term scalability without over-engineering
- Hands-on experience diagnosing deep stability issues, memory/latency bottlenecks, and building telemetry using Prometheus, Fluent Bit, or similar tools
- Solid experience with Docker, Kubernetes, microservices, interservice communication via gRPC, and messaging technologies like Kafka or MQTT
- Demonstrated ability to jump into unfamiliar codebases or technologies and deliver production-ready solutions quickly
- Experience leveraging modern AI tools like Cursor, Claude, Copilot, and agentic workflows as a force multiplier for code and system analysis
- Experience with Nvidia Jetson or Intel edge devices, Linux internals, custom OS builds like Yocto or Ubuntu, or IoT environments
- Exposure to real-time video processing pipelines, RTSP/SRTP streams, or GStreamer
- Familiarity with AI applications, RAG pipelines, vector databases like USearch or Faiss, or agent protocols including MCP and A2A
3 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.#LI-AR1 #LI-Onsite
Metropolis may utilize an automated employment decision tool (AEDT) to assess or evaluate your candidacy for employment or promotion. AEDTs are used to assist in assessing a candidate’s application relative to the required job qualifications and responsibilities listed in the job posting.
As part of this process, Metropolis retains data relevant to your candidacy, including personal information, for a period that is reasonably necessary for the use of the tool. If you are hired for the position, your data may become part of your employee records.
Metropolis Technologies is an equal opportunity employer. We make all hiring decisions based on merit, qualifications, and business needs — without regard to race, color, religion, sex (including gender identity, sexual orientation, and pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.
We are committed to providing a welcoming, accessible hiring experience. If you need a reasonable accommodation for any part of the application or interview process, please reach out to us at [email protected].
Skills Required
- Bachelor of Science degree in Computer Science or a related field
- 6+ years of experience building complex, high-scale backend or distributed systems
- Production backend experience with Go, C++, Java, or similar languages
- Ability to reason about complex system behavior and design modular, scalable interfaces
- Experience diagnosing stability issues and memory or latency bottlenecks
- Experience building telemetry with Prometheus, Fluent Bit, or similar tools
- Experience with Docker, Kubernetes, microservices, gRPC, and Kafka or MQTT
- Ability to work in unfamiliar codebases or technologies and deliver production-ready solutions
- Experience using Cursor, Claude, Copilot, or agentic workflows for code and system analysis
- Experience with Nvidia Jetson or Intel edge devices, Linux internals, Yocto, Ubuntu, or IoT environments
- Exposure to real-time video processing, RTSP/SRTP streams, or GStreamer
- Familiarity with AI applications, RAG pipelines, vector databases, MCP, or A2A
Metropolis Technologies Compensation & Benefits Highlights
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Healthcare Strength — Health insurance is described as subsidized for eligible staff, including medical, dental, vision, and mental-health support. Wellness initiatives and fitness programs further reinforce the breadth of care.
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Leave & Time Off Breadth — Time off is characterized as flexible or generous (often unlimited for salaried roles), with paid holidays and premium pay when required to work them. Additional elements like volunteer time and sick leave are noted in some listings.
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Retirement Support — A company 401(k) match is offered, signaling meaningful employer support for long‑term savings. This adds durable value to total rewards alongside salary and equity potential.
Metropolis Technologies Insights
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 4,000 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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Metropolis Technologies Offices
OnSite Workspace
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.
