Senior Software Engineer - C++/Python/Linux/AI REQ_141

Senior Software Engineer - C++/Python/Linux/AI

👋 Greetings, future tech savant:

Embark on an exciting journey into the realm of software development with 3Pillar! We extend an invitation for you to join our team and gear up for a thrilling adventure. At 3Pillar, our focus is on crafting cutting-edge technologies that revolutionize industries. As a Software Engineer, you'll play a vital role in our dynamic team, contributing to exciting projects that redefine urban living, establish new media channels for enterprise companies, or drive innovation in healthcare. This opportunity goes beyond code – it's about creating epic solutions that leave a lasting impression in the market. If your passion for programming fuels your drive to make a real-world impact, consider this your pass to the captivating world of Product Development! 🚀💻

Key Responsibilities

• Craft client code that is not just efficient but also performant, testable, scalable, secure, and of the highest quality.

• Provide accurate status tracking, reporting, and estimation using project methods and tools.

• Gather requirements, validate their understanding amongst the team, and create and maintain relevant documentation.

• Execute activities within the current methodology and uphold the highest quality standards.

• Foster collaboration with fellow engineers, designers, and managers to comprehend user pain points and iterate on solutions that drive client success.

• Take ownership of projects, from technical design to a successful launch.

Minimum Qualifications:

• Demonstrated expertise with at least 5+ years of experience in one specified technology.

• 5+ years of experience in C / C++.

• Multithreaded programming environment

• Network protocols working experience

• 3+ years experience in Linux

• 2+ years experience in using containerized environments

• Oracle, PL/SQL

• Python

• Knowledgeable and hands on experience using Helix Atlas, Aire

• AI-Assisted Development Skills

• Daily use of AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) for coding, refactoring, test generation and PR review, with a habit of verifying AI output.

• Prompt and context engineering for code tasks, such as writing clear specs, instruction files and reusable prompts for AI agents.

• Using MCP servers and connectors (e.g., GitHub, Jira) inside AI-assisted development workflows.