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.

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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonBashdistributed systemsdata processing pipelinesparallel processingalgorithm implementationperformance tuninghigh-performance computingcontainerizationsystem-level logic

Soft Skills

data-driven mindsetcollaborationproblem-solvingcommunicationexperimentation