Senior Backend Engineer - Distributed Systems (Remote)

Bright Vision Technologies; Redwood City, San Mateo (CA, CA); On-site; USD 75,000 - 95,000; Full time

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 powering mission-critical workloads. In this role you will architect the core platforms that other engineering teams build on, focusing on scalability, reliability, performance, and clean engineering practices.

The ideal candidate will combine strong fundamentals in computer science with practical, battle-tested

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related discipline.
• Six or more years of professional backend engineering experience, with significant time on distributed systems.
• Strong programming skills in Java, Go, Scala, or similar.
• Deep understanding of distributed systems concepts, including consensus, replication, and CAP trade-offs.
• Hands-on experience with high-throughput message systems such as Kafka.
• Experience operating systems at scale, including capacity planning and performance tuning.
• Strong SQL skills and experience with both relational and NoSQL data stores.
• Hands-on experience with major cloud platforms (AWS, Azure, or GCP).
• Strong debugging and root-cause analysis skills.
• Excellent communication, documentation, and mentorship skills.

Skills

Java/Go/Scala

Distributed systems

Kafka

Cloud platforms

SQL/NoSQL

Kubernetes

Istio/Linkerd

Chaos engineering

Open-source

Leadership

Education

Bachelor’s/Master’s in CS

Tools

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 powering mission-critical workloads. In this role you will architect the core platforms that other engineering teams build on, focusing on scalability, reliability, performance, and clean engineering practices.

The ideal candidate will combine strong fundamentals in computer science with practical, battle-tested