Senior Core Engineer

Who we are

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 are

Metropolis 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

What we're looking for

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

While not required, these are a plus:

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] .