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Senior Memory Performance Engineer

synergy vita • United Arab Emirates
Remote
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Lead memory optimization efforts to diagnose leaks, inefficiencies, and crashes in high-performance software applications. Collaborate with engineering teams to enhance stability, reduce resource consumption, and implement scalable memory management solutions. Requires 5–8 years of specialized experience in profiling, heap analysis, and cross-platform memory diagnostics.

Key Highlights
Expertise in diagnosing memory leaks, fragmentation, and garbage collection bottlenecks across Java, C++, C#, Go, Rust, and Python
Full ownership of memory profiling, heap analysis, and performance benchmarking for production-grade systems
Remote-first role with 100% flexibility to work from the UAE or globally
Key Responsibilities
Analyze memory usage to identify leaks, excessive allocations, and inefficient memory management in production environments
Conduct heap analysis, allocation tracking, and garbage collection diagnostics across multithreaded and distributed systems
Collaborate with developers to optimize data structures, object lifecycles, and memory-intensive processes
Develop automated memory performance benchmarks and regression tests for CI/CD pipelines
Document technical findings and recommend architectural improvements for memory-efficient software
Technical Skills Required
Memory Profiling Heap Analysis Garbage Collection Optimization
Benefits & Perks
Competitive compensation based on experience
100% remote work arrangement with flexible coordination
Opportunities for challenging performance optimization projects

Job Description

Job Title: Senior Memory Profiling Specialist

Location: United Arab Emirates (Remote)

Employment Type: Full-Time

Work Arrangement: 100% Remote — Work From Home

About the Role

We are seeking an experienced Senior Memory Profiling Specialist to analyze memory usage, identify performance bottlenecks, and improve the efficiency and stability of software applications. The successful candidate will investigate memory leaks, excessive allocations, fragmentation, and garbage collection overhead while helping engineering teams build reliable, high-performance systems.

Key Responsibilities
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