Senior Edge Backend Engineer: Real-World AI

Metropolis Technologies

Seattle (WA)

On-site

USD 170,000 - 200,000

Full time

14 days+
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Benefits offered by this job

Stock option plan
Healthcare benefits
401(k) plan
Disability coverage
Life insurance
Bonus plans
4 days in office

Job summary

Metropolis Technologies in Seattle is hiring a Senior Backend Engineer, Edge to design and build scalable backend systems that integrate hardware with ML, using AWS, Java, Scala, gRPC, Redis, MySQL, Kubernetes and Kafka.

Join a team shaping the Recognition Economy across parking, retail and real estate, with an on-site work model four days a week and a compensation package including health benefits and stock options.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
  • 8+ years of backend development experience.
  • Experience building gRPC APIs for service-to-service communication.
  • Strong SQL / database design with Redis and MySQL.
  • Experience with Kubernetes for container orchestration.
  • Hands-on Kafka for event-driven architectures.
  • Excellent analytical, communication, and cross-team collaboration skills.

Responsibilities

  • Build robust, scalable backend services in Java and Scala.
  • Design and implement gRPC APIs for high-performance data transfer.
  • Leverage Redis and MySQL for reliable storage and low latency.
  • Deploy and manage microservices on Kubernetes.
  • Work with Kafka to enable real-time data streaming.
  • Collaborate with Hardware, ML, and Ops teams to ensure integration.
  • Identify bottlenecks and improve scalability and reliability.

Skills

Analytical thinking
Team collaboration
Communication
Problem solving

Education

Bachelor's or Master's in Computer Science/Software Engineering or related field

Tools

Java
Scala
gRPC
Redis
MySQL
Kubernetes
Kafka
AWS

Job description

Metropolis Technologies in Seattle is hiring a Senior Backend Engineer, Edge to design and build scalable backend systems that integrate hardware with ML, using AWS, Java, Scala, gRPC, Redis, MySQL, Kubernetes and Kafka.

Join a team shaping the Recognition Economy across parking, retail and real estate, with an on-site work model four days a week and a compensation package including health benefits and stock options.

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