Computer Scientist - Remote Work

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: - 100% remote - work from anywhere. - Excellent compensation in USD or your local currency if preferred. - Flexible hours - make your schedule. - Paid parental leave, vacation, & national holidays. - Innovative and multicultural work environment. - Collaborate and learn from the global Top 1% of talent in each area. - Supportive environment with mentorship, promotions, skill development, and diverse growth opportunities. Join a global team where your unique talents can truly thrive and make a significant impact! Apply now!