Senior Backend Engineer - Distributed Systems
remoterocketship
- United States
- United States
À propos
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
Compétences linguistiques
- English
Avis aux utilisateurs
Cette offre provient d’une plateforme partenaire de TieTalent. Cliquez sur « Postuler maintenant » pour soumettre votre candidature directement sur leur site.