Remote Lead Backend Engineer: Distributed Systems

Bright Vision Technologies

Yuba City (CA)

Remote

USD 150,000 - 190,000

Full time

2 days ago
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Job summary

Bright Vision Technologies is seeking a Lead Backend Engineer with deep expertise in distributed systems to design, build, and operate large-scale, high-throughput backend services that power mission-critical workloads. You will architect the core platforms that other engineering teams rely on, emphasizing scalability, reliability, performance, and clean engineering practices.

The ideal candidate combines strong CS fundamentals with practical experience operating distributed systems at scale and

Qualifications

  • Bachelor’s or Master’s degree in Computer Science or a related discipline.
  • 6+ years of professional backend engineering experience with distributed systems.
  • Strong programming skills in Java, Go, Scala, or similar.
  • Hands-on with cloud platforms (AWS, Azure, or GCP).
  • Experience with Kafka and high-throughput messaging.

Responsibilities

  • Design, build, and operate large-scale backend services.
  • Architect core platforms used by multiple teams.
  • Focus on scalability, reliability, performance, and clean engineering.
  • Mentor and collaborate with engineers across the organization.

Skills

Distributed systems
Backend programming (Java/Go/Scala)
Cloud platforms (AWS/Azure/GCP)
SQL/NoSQL data stores

Education

Bachelor’s or Master’s degree in Computer Science or related discipline

Tools

Kafka
Kubernetes
Cloud platforms (AWS/Azure/GCP)

Job description

Bright Vision Technologies is seeking a Lead Backend Engineer with deep expertise in distributed systems to design, build, and operate large-scale, high-throughput backend services that power mission-critical workloads. You will architect the core platforms that other engineering teams rely on, emphasizing scalability, reliability, performance, and clean engineering practices.

The ideal candidate combines strong CS fundamentals with practical experience operating distributed systems at scale and

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