Senior Software Engineer

Job Description

We are seeking a Principal Distributed Systems Optimization Engineer to design, analyze, and optimize large-scale, high-throughput distributed systems. This role focuses on improving system performance, reliability, and cost efficiency across complex service-oriented architectures operating at significant scale.

You will work closely with backend engineers, data infrastructure teams, and platform reliability groups to identify bottlenecks, redesign critical paths, and implement robust, fault-tolerant solutions. The ideal candidate has deep expertise in distributed systems theory and hands-on experience tuning production systems under heavy load.

Key Responsibilities

• Analyze system performance using metrics, tracing, and profiling tools to identify latency and throughput bottlenecks
• Design and implement optimizations across microservices, data pipelines, and storage layers
• Improve system reliability through fault isolation, graceful degradation, and resilience patterns
• Lead architectural reviews and propose scalable design improvements
• Collaborate with cross-functional teams to drive performance best practices
• Build tooling and frameworks for performance benchmarking and capacity planning
• Mentor engineers on distributed systems concepts and performance engineering

Required Qualifications

• 8+ years of experience in backend or distributed systems engineering
• Strong understanding of distributed systems concepts (consensus, partitioning, replication, consistency models)
• Proficiency in one or more programming languages such as Java, Scala, Go, or Python
• Experience with large-scale data systems (e.g., streaming platforms, distributed databases)
• Deep knowledge of performance tuning, profiling, and observability tools

Preferred Qualifications

• Experience with systems like Kafka, Spark, Flink, or similar technologies
• Familiarity with cloud platforms and container orchestration (e.g., Kubernetes)
• Background in high-QPS, low-latency systems
• Experience designing systems with strict SLAs and SLOs

What You’ll

Work On

• Optimizing services handling millions of requests per second
• Reducing tail latency and improving system predictability
• Enhancing observability and debugging capabilities in complex environments
• Driving initiatives to reduce infrastructure cost while maintaining performance