Computer Scientist - Remote Work

BairesDev; Colombia; A distancia; COP 281.171.000 - 468.618.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

100% remote work

Excellent compensation

Paid parental leave

Multicultural work environment

Mentorship and skill development

Descripción de la vacante

A leading technology company is seeking a Senior Systems Engineer to design and optimize large-scale data processing systems. The role focuses on concurrency and interoperability between Python and C++. Candidates should have over 5 years of experience in concurrent systems, advanced proficiency in Python and modern C++, and strong debugging skills. This position is fully remote and offers excellent compensation, paid parental leave, and a multicultural work environment.

Formación

• 5+ years of experience working with concurrent systems and large-scale data processing.
• Advanced proficiency in Python, including multiprocessing and threading.
• Strong experience with modern C++ (C++17+).
• Expertise IPC/shared memory and Python↔C++ interoperability.
• 3+ years cloud experience (AWS, Azure or GCP).
• Experience with columnar formats Arrow/Parquet and pyarrow/numpy.
• Proficient with debugging/profiling tools (perf, valgrind, gdb/lldb, sanitizers).
• Strong memory management and zero-copy focus.
• Experience with observability tools (Prometheus, OpenTelemetry).
• Advanced English proficiency.

Responsabilidades

• Design and optimize large-scale data processing systems.
• Improve and integrate pipelines based on columnar formats such as Arrow and Parquet.
• Build, profile, and debug critical components using low-level tools.

Conocimientos

Concurrent systems

Large-scale data processing

Python

Modern C++ (C++17+)

Advanced English

pybind11

Cloud AWS/GCP

Performance profiling

English proficiency

Herramientas

gdb

valgrind

perf

sanitizers (ASAN/UBSAN)

py-spy

tracemalloc

ctypes

numpy.ctypeslib

pyarrow

Parquet

Descripción del empleo

Overview

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.

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.

Qualifications

• 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.
• Advanced proficiency in English.

Benefits

• 100% remote - work from anywhere.
• Excellent compensation in USD or your local currency if preferred.
• 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.