Computer Scientist - Remote Work

Description

Summary: As a Senior Systems Engineer, you'll design, optimize, and maintain high-performance data processing systems, focusing on safe concurrency and efficient handling of large-scale datasets. Highlights: 1. Design and optimize large-scale data processing systems with Python and C++. 2. Improve pipelines based on columnar formats like Arrow and Parquet. 3. Build, profile, and debug critical components using low-level tools. 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!