Lead Backend Engineer – Remote, Distributed Systems

Bright Vision Technologies; Artesia, Cerritos (CA, CA); Remote; USD 75,000 - 95,000; Full time

Job summary

Bright Vision Technologies is seeking a Lead Backend Engineer to architect and operate large-scale backend services in a 100% remote capacity across the U.S. You will drive distributed systems, scalability, reliability, and performance while mentoring teams and defining best practices.

Qualifications include 6+ years of backend experience, strong Java/Go/Scala, Kafka, cloud platforms, and deep knowledge of CAP trade-offs. This role emphasizes pragmatic, high-quality software engineering at scale.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or related field.
• 6+ 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

Distributed systems

Programming languages

SQL/NoSQL

Cloud platforms

Debugging

Mentorship

System design

Communication skills

Education

Bachelor's or Master's in CS

Tools

Kafka

AWS

Azure

GCP

Kubernetes

Job description

Bright Vision Technologies is seeking a Lead Backend Engineer to architect and operate large-scale backend services in a 100% remote capacity across the U.S. You will drive distributed systems, scalability, reliability, and performance while mentoring teams and defining best practices.

Qualifications include 6+ years of backend experience, strong Java/Go/Scala, Kafka, cloud platforms, and deep knowledge of CAP trade-offs. This role emphasizes pragmatic, high-quality software engineering at scale.