Senior Backend Engineer (Distributed Systems)

Bright Vision Technologies•Fremont, CA

1d•Remote

About The Position

Bright Vision Technologies is seeking a skilled Senior Backend Engineer (Distributed Systems) to join their dynamic team. This role involves designing, building, and operating large-scale, high-throughput backend services that power mission-critical workloads. The engineer will architect core platforms for other engineering teams, focusing on scalability, reliability, performance, and clean engineering practices. The ideal candidate will have strong computer science fundamentals and practical experience operating distributed systems at scale, understanding the trade-offs between consistency, availability, and latency.

Requirements

Bachelor’s or Master’s degree in Computer Science or a 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.

Nice To Haves

Experience leading complex technical initiatives across multiple teams.
Hands-on experience with Kubernetes-based platforms in production.
Exposure to service-mesh technologies (Istio, Linkerd).
Familiarity with chaos engineering practices and tools.
Open-source contributions to relevant distributed systems projects.

Responsibilities

Design and implement large-scale distributed backend systems using Java, Go, Scala, or similar high-performance languages.
Architect data partitioning, replication, and consistency strategies appropriate to each workload’s requirements.
Build resilient APIs and event-driven services with strong observability, idempotency, and graceful degradation patterns.
Optimize systems for latency, throughput, and cost, using profiling, benchmarking, and load testing.
Lead detailed architecture reviews, technical design discussions, and trade-off analyses.
Implement robust failure-handling patterns including retries, timeouts, circuit breakers, bulkheads, and saga workflows.
Design and operate data stores at scale, including relational, key-value, document, and search engines.
Build comprehensive observability into services with structured logs, metrics, and distributed tracing.
Drive incident response and post-incident learning for critical backend services.
Mentor mid-level engineers and lead by example in code quality, design, and operational rigor.
Partner with SRE and platform teams to drive reliability improvements and reduce operational toil.
Contribute to long-term architecture and platform strategy, helping shape multi-year technical roadmaps and ensuring near-term execution remains aligned with the broader engineering direction.
Maintain comprehensive, current technical documentation — including architecture diagrams, design decisions, configuration references, runbooks, and operational procedures — so that the system remains supportable, auditable, and easy to onboard new engineers onto over time.