Senior Backend Engineer - Distributed SystemsBright Vision Technologies • United States

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Senior Backend Engineer - Distributed Systems

Bright Vision Technologies

United States

United States

À propos

Job Description: 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 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 Benefits: Comprehensive benefits Competitive compensation packages Supportive work-life balance

United States

Compétences linguistiques

English

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