Metropolis Technology Images
Metropolis Technologies Logo

Metropolis Technologies

Senior Software Engineer, Edge

Reposted 23 Hours Ago
Be an Early Applicant
Easy Apply
In-Office
Los Angeles, CA
Senior level
Easy Apply
In-Office
Los Angeles, CA
Senior level
Design, develop, and maintain scalable backend systems using Java and Scala. Integrate hardware and machine learning with GRPC APIs, and manage microservices on Kubernetes.
The summary above was generated by AI
Who we are

Metropolis is an artificial intelligence company that uses computer vision technology to enable frictionless, checkout-free experiences in the real world. Today, we are reimagining parking to enable millions of consumers to just "drive in and drive out." We envision a future where people transact in the real world with a speed, ease and convenience that is unparalleled, even online. Tomorrow, we will power checkout-free experiences anywhere you go to make the everyday experiences of living, working and playing remarkable - giving us back our most valuable asset, time.

Who you are

We are seeking a highly tenured Senior Software Engineer, Backend to join our Advanced Technologies team. In this role, you will design, develop, and maintain scalable backend systems that model ground truth vehicle location by integrating cutting-edge hardware with advanced machine learning. You'll work with a modern tech stack, including Java, Scala, GRPC (Protocol Buffers), Redis, MySQL, Kubernetes, and Kafka, to deliver high-performance, reliable services. If you are excited about solving complex technical challenges and working at the intersection of distributed systems, real-time data processing, and scalable infrastructure, we would love to hear from you.

What you'll do
  • Build robust, scalable, and maintainable backend services in Java and Scala to support mission-critical operations
  • Design and implement gRPC (Protocol Buffers) APIs to enable high-performance, real-time data transfer between services
  • Leverage Redis and MySQL for efficient data storage and retrieval, ensuring reliability and low-latency access
  • Deploy and manage microservices on Kubernetes, optimizing for scalability, resilience, and cost efficiency
  • Work with Kafka to build scalable, event-driven architectures for real-time data streaming and processing
  • Partner with Hardware, Machine Learning, and Operations teams to ensure seamless integration across the ecosystem and provide appropriate tooling
  • Analyze and address bottlenecks in performance and scalability while maintaining a focus on system reliability and data integrity
What we're looking for
  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
  • 8+ years of experience in backend development, preferably within platform or core services
  • Proven expertise in industry-standard programming languages, preferably Java and Scala
  • Experience building GRPC (Protocol Buffers) APIs for efficient and reliable communication between services
  • Strong understanding of database design and optimization using Redis and MySQL
  • Familiarity with container orchestration and scaling using Kubernetes
  • Hands-on experience with Kafka for event-driven architectures
  • Exceptional analytical skills with a proven ability to tackle complex technical problems and design innovative solutions
  • A team player with excellent communication skills and a proactive approach to working across teams
While not required, these are a plus:
  • Exposure to frontend integration with frameworks like Next.js

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 $170,000.00 USD to 200,000.00 USD annually. The actual base pay 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 pay is one component of Metropolis’s total compensation package, which usually includes: 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-NM1 #LI-Onsite

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

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, or pregnancy), national origin, disability, veteran status, or any other protected characteristic under federal, state, or local law.

Top Skills

Grpc
Java
Kafka
Kubernetes
MySQL
Redis
Scala

Similar Jobs at Metropolis Technologies

23 Hours Ago
Easy Apply
In-Office
Los Angeles, CA, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Lead the development of multi-camera perception and localization systems, design algorithms for object detection and tracking, and optimize visual search systems.
Top Skills: C++FaissMilvusOpencvOpensearchPythonPyTorchTensorFlow
23 Hours Ago
Easy Apply
In-Office
Los Angeles, CA, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
Design and deploy computer vision models for applications like object detection and video analytics. Collaborate with teams and mentor juniors.
Top Skills: AirflowAWSAzureC++DockerEcsGCPGithub ActionsJenkinsKubernetesOnnxPythonPyTorchTensorFlowTensorrt
23 Hours Ago
Easy Apply
In-Office
Los Angeles, CA, USA
Easy Apply
Senior level
Senior level
Artificial Intelligence • Computer Vision • Machine Learning • Payments • Real Estate • PropTech
The Senior Web Engineer will design and implement frontend systems for Metropolis' mobility platform, collaborating with product teams, mentoring junior engineers, and ensuring quality software development aligned with customer needs.
Top Skills: AWSDatadogGitGitJavaMySQLPostgresReactScalaSnowflakeTypescript

What you need to know about the Toronto Tech Scene

Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account