Remove 95% of CVEs automatically with no code change
Senior Distributed Systems Engineer – Architect
Location
United States
Posted
76 days ago
Salary
$170K - $200K / year
Seniority
Senior
Job Description
Senior Distributed Systems Engineer – Architect
RAPIDFORT
• Design and implement scalable distributed systems that handle heavy CPU, disk, and network workloads. • Architect systems for high throughput, reliability, and efficient resource utilization. • Develop distributed algorithms and data processing pipelines. • Analyze system behavior to identify bottlenecks across compute, storage, and network layers. • Optimize workloads for maximum efficiency and minimal resource waste. • Develop strategies for parallelization, batching, and workload scheduling. • Implement system components and tooling primarily in Python and Bash. • Build custom orchestration, automation, and distributed job execution mechanisms. • Write efficient algorithms and low-level logic to manage large-scale workloads. • Build instrumentation, metrics, and telemetry to measure system performance. • Develop dashboards and analysis workflows to guide optimization decisions. • Use empirical data and experimentation to improve system behavior. • Design systems that operate reliably across distributed environments. • Implement monitoring, debugging, and recovery mechanisms for large-scale systems. • Collaborate with infrastructure and platform teams to ensure smooth deployment and operation.
Job Requirements
- Strong experience building distributed systems or large-scale backend infrastructure
- Deep understanding of systems performance (CPU, memory, disk I/O, networking)
- Experience optimizing workloads for throughput and efficiency
- Strong Python development skills
- Strong Bash / shell scripting
- Ability to implement and reason about algorithms and system-level logic
- Experience with parallel processing, distributed job execution, or large data pipelines
- Familiarity with Linux systems, resource scheduling, and performance tuning
- Understanding of networked systems and distributed coordination
- Strong data-driven mindset with focus on measurement and experimentation
- Experience building observability, metrics, and instrumentation
- Ability to debug complex systems in production environments
- Experience with high-performance computing (HPC) workloads
- Experience with containerized environments (Docker/Kubernetes)
- Background in large-scale data processing or distributed compute frameworks
- Familiarity with performance profiling tools and system tracing
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