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 recruiting@metropolis.io.
