
Cloud Software Engineer (AWS, APIs) | Remote
Role summary
We are seeking a remote Cloud Software Engineer with expertise in AWS and APIs for a contract role. The engineer will design, develop, and optimize software components for AI model training and evaluation workflows, collaborating with data scientists and engineers. Responsibilities include writing scalable, maintainable code, analyzing requirements, conducting code reviews, troubleshooting issues, and documenting processes. Proficiency in at least one modern programming language (Python, Java, C++) and experience with AI/ML or data-driven applications are required. The role emphasizes effective remote collaboration and strong problem-solving skills.
Position:
Cloud Software Engineer (AWS, APIs)
Type:
Contract
Compensation:
$50 - $120/hour
Location:
Remote
Commitment:
10-40 hrs/week
Role Responsibilities
- Design, develop, and optimize robust software components for AI model training and evaluation workflows.
- Collaborate closely with data scientists and engineers to implement scalable, maintainable, and high-quality code.
- Analyze requirements and translate them into technical solutions that align with project objectives.
- Conduct code reviews and provide constructive feedback to ensure best practices and code quality.
- Troubleshoot, debug, and resolve complex software issues during all phases of the software development lifecycle.
- Document codebases, processes, and methodologies for transparency and ongoing team success.
Requirements
- Have proven expertise in software development, with proficiency in at least one modern programming language such as Python, Java, C++, or similar.
- Have solid experience designing and implementing software solutions for AI, machine learning, or data-driven applications.
- Demonstrate the ability to work effectively in remote, distributed teams.
- Possess excellent written and verbal communication skills with an emphasis on clarity and collaboration.
- Have strong problem-solving skills and the ability to troubleshoot complex technical challenges.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation & interview stage