Remote: Senior Data Processing Systems Engineer (Python/C++)

BairesDev; Peru (IL); On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Remote work 100%

Competitive USD salary

Job summary

BairesDev is seeking a Senior Systems Engineer to design, optimize, and maintain high-performance data processing systems, focusing on safe concurrency, Python/C++ interoperability, and efficient handling of large-scale datasets. You'll improve pipelines built on Arrow/Parquet, ensure zero-copy and memory-safe operations, and build profiling, debugging, and stress-testing frameworks.

You will work closely with data engineering, DevOps, and platform teams to ensure scalability, stability, and

Qualifications

• 5+ years of experience with concurrent systems and large-scale data processing.
• Advanced proficiency in Python, including multiprocessing, threading, and shared_memory.
• Strong experience with modern C++ (C++17+).
• Advanced knowledge in IPC and shared memory (shm_open, mmap), synchronization and safe concurrency strategies, and Python C++ interoperability (ctypes, pybind11, numpy.ctypeslib).
• 3+ years of cloud experience with AWS, Azure, or GCP.
• Experience with columnar data and high-performance formats including Apache Arrow, Parquet, and pyarrow/numpy.
• Proficient with debugging and profiling tools such as perf, valgrind, gdb/lldb, sanitizers (ASAN/UBSAN), py-spy, and tracemalloc.
• Strong understanding of memory management, efficiency, zero-copy, and alignment.
• Experience with stress and integration testing to detect race conditions, memory leaks, and concurrency failures.
• Experience integrating observability tools such as Prometheus, OpenTelemetry, and structured logging.
• Advanced proficiency in English.

Responsibilities

• Design and optimize large-scale data processing systems, ensuring safe concurrency, efficient memory usage, and high performance with Python and C++.
• Improve and integrate pipelines based on columnar formats such as Arrow and Parquet, ensuring zero-copy, type consistency, and optimized I/O performance.
• Build, profile, and debug critical components using low-level tools such as gdb, valgrind, perf, and sanitizers to detect and resolve race conditions, memory leaks, and performance bottlenecks.

Skills

Python

C++17+

Concurrency

Arrow/Parquet

Cloud

Debugging/Profiling

English

Tools

Perf

Valgrind

GDB/LLDB

Sanitizers

py-spy

Job description

BairesDev is seeking a Senior Systems Engineer to design, optimize, and maintain high-performance data processing systems, focusing on safe concurrency, Python/C++ interoperability, and efficient handling of large-scale datasets. You'll improve pipelines built on Arrow/Parquet, ensure zero-copy and memory-safe operations, and build profiling, debugging, and stress-testing frameworks.

You will work closely with data engineering, DevOps, and platform teams to ensure scalability, stability, and