Software Engineer Specialist

Engagement Description:

The R&D Software Engineer Specialist develops and tests innovative software solutions, with a focus on AI enablement. This involves contributing to research-driven projects, writing clean and efficient code, and collaborating with multidisciplinary teams. 

Project Overview & Deliverables:

1. Software Development & Implementation
• Develop and test software: coding, debugging, and ensuring high-quality functionality
• Design and implement RESTful/GraphQL APIs with proper documentation
• Create responsive UI components and implement state management (if applicable)
• Implement code & unit tests: write features and their immediate automated tests
• Design database schemas and optimize database queries
2. Integration & Deployment
• Integrate with existing services: verify compatibility with APIs, schemas, and UIs
• Configure CI/CD pipelines and support deployment processes
• Connect with third-party services and external APIs
• Implement legacy system integration or migration strategies
• Update release notes: document changes and any user-visible impact
3. Quality Assurance & Testing
• Participate in code reviews to improve code quality
• Write integration and end-to-end tests
• Perform load/stress testing as needed
• Bug resolution across severity levels
• Maintain and improve code coverage metrics
4. Security & Performance
• Implement authentication, authorization, and data protection measures
• Address security vulnerabilities
• Optimize application performance (load times, rendering, resource usage)
• Conduct performance profiling and implement improvements
5. Technical Architecture & Documentation
• Document development processes: produce clear records of coding practices, testing procedures, and system architecture
• Draft technical design: capture architecture, data flow, and risk trade-offs
• Refine acceptance criteria: ensure "done" is clearly defined and testable
• Research and evaluate new technologies with proof-of-concept implementations
6. Data Management
• Implement data transformation pipelines and ETL processes
• Create data migration scripts
• Optimize data storage and retrieval mechanisms
• Design and implement data access layers
7. DevOps & Infrastructure
• Assist with infrastructure-as-code implementation
• Set up monitoring and alerting
• Support container orchestration (Docker, Kubernetes)
• Demo for stakeholders: gather quick feedback and sign-off before release
8. Continuous Improvement
• Technical debt reduction
• Refactor code for improved maintainability
• Document RCAs and infrastructure improvement opportunities

Target Profile:

• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Experience with at least one programming language such as Python, Java, or C++.
• Some exposure to AI-related projects, particularly in AI enablement.
• Eagerness to learn and take on new challenges.

Key Skills:

• Strong problem-solving and analytical thinking.
• Ability to work independently and manage time effectively.
• Excellent communication
• Attention to detail and quality-focused approach.

Compensation:

• We offer a pay range of $25-to- $50 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply.