At BairesDev®, we've been leading the way in technology projects for over 15 years. We deliver cutting-edge solutions to giants like Google and the most innovative startups in Silicon Valley.

Our diverse 4,000+ team, composed of the world's Top 1% of tech talent, works remotely on roles that drive significant impact worldwide.

When you apply for this position, you're taking the first step in a process that goes beyond the ordinary. We aim to align your passions and skills with our vacancies, setting you on a path to exceptional career development and success.

Computer Scientist at BairesDev

As a Senior Systems Engineer, you'll 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. The role requires close collaboration with data engineering, DevOps, and platform teams to ensure scalability, stability, and observability across the entire system.

What You'll Do:

• 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.

What we are looking for:

• 5+ years of experience working 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 (contiguity, dtypes).
• 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.
• Experience designing CI/CD pipelines for mixed Python/C++ environments.
• Advanced proficiency in English.

How we make your work (and your life) easier:

Join a global team where your unique talents can truly thrive and make a significant impact!

Apply now!