Senior Systems Engineer | 8+ Years | C++, Python, Go, Distributed AI & Low-Latency

Senior Systems, Low-Latency & Distributed Infrastructure Engineer

I am a Senior Software and Systems Engineer with 8+ years of extensive hands-on experience architecting, designing, and operating high-throughput backend infrastructure, ultra-low-latency distributed platforms, and mission-critical cloud systems. My career has focused on building robust, high-performance systems capable of processing millions of events per second with sub-millisecond tail latencies.

Core Engineering Competencies & Technical Expertise:

• Low-Latency Systems & Modern Languages: Expert proficiency in Modern C++ (C++17 and C++20), Python, Go, and Rust. Deep understanding of memory layout, lock-free concurrency, memory models, cache-line alignment, zero-copy networking, and modern asynchronous architectures.
• Distributed Systems & Event Streaming: Extensive experience architecting and tuning distributed message brokers and stream processors including Apache Kafka, Flink, and RabbitMQ. Designed partitioned, fault-tolerant ingestion pipelines with guaranteed idempotency and exactly-once semantics.
• AI Infrastructure & Cloud Platforms: Proven track record developing AI data platform infrastructure, high-throughput model serving pipelines (PyTorch, Ray, vLLM, TensorRT), and large-scale data lakehouses leveraging Google Cloud Platform (GCP) and Amazon Web Services (AWS). Heavy expertise with Docker, Kubernetes, Terraform, and distributed storage engines.
• Fintech, Trading Systems & High-Security Backend: Strong foundational background in fintech transaction infrastructure, market data feeds, order execution pipelines, and PCI-DSS compliant secure microservices.

Career History & Engineering Impact:

• Senior Systems & Software Engineer (2018 - Present): Engineered core processing platforms, payment gateways, and real-time distributed services. Reduced end-to-end P99 latency by over 40% through kernel bypass optimizations, network socket tuning, and asynchronous event loops. Managed automated CI/CD release cycles and orchestrated cloud deployments across multi-region Kubernetes clusters.
• Distributed Data Architecture: Led the migration of legacy batch infrastructure to unified real-time stream processing engines using Kafka and modern Golang services, ensuring 99.999% availability under extreme peak transaction loads.

Current Availability & Relocation Preferences:

• Notice Period: Immediately available (0 days notice).
• Relocation: Fully open to relocating immediately to Dubai, Abu Dhabi, Saudi Arabia, or broader GCC tech hubs with visa sponsorship.
• Work Mode: Open to onsite leadership, hybrid, or remote technical architecture appointments.