Part-Time Senior Systems Engineer
Location: India, Brazil, Peru, Argentina, Spain
Department: Delivery and Solutions
Workplace: remote
Description
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.
Requirements
Job Description
We are hiring skilled software engineers with strong command-line and systems expertise. The ideal candidate is comfortable working in Unix-like environments, proficient with containerized workflows, and experienced in creating reliable, reproducible setups supported by clear documentation and testing.
Why Apply
- Innovation Impact: Contribute to pioneering AI research with a YC-backed startup dedicated to advanced technology solutions.
- Flexible Engagement: Work remotely with adaptable hours, allowing you to balance your professional expertise with other commitments.
Responsibilities
- Design multi-step command-line development exercises (e.g., debugging, refactoring, data processing, build automation).
- Develop deterministic test suites and solutions.
- Containerize tasks with Docker to ensure consistency and reproducibility.
- Write clear, detailed documentation to describe objectives and requirements.
Required Qualifications
- Proficiency with Linux/Unix command-line tools and Bash scripting.
- 1+ years professional software-engineering experience.
- Experience with Docker and containerized development environments.
Preferred Qualifications
- Familiarity with build tools (Make, CMake, npm, Cargo, Gradle, etc.).
- Experience troubleshooting CI/CD pipelines or development environments.
- Exposure to multiple language ecosystems (Python, Go, Rust, C/C++).
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