Senior Backend Engineer – Distributed Systems

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