Software Engineer Specialist
hace 2 días
Engagement Description The R&D Software Engineer Specialist develops and tests innovative software solutions, focusing on AI enablement. This role contributes to research‑driven projects, writes clean and efficient code, and collaborates with multidisciplinary teams. Project Overview & Deliverables 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. 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 user‑visible impact. 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. Security & Performance Implement authentication, authorization, and data protection measures. Address security vulnerabilities. Conduct performance profiling and implement improvements. 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. 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. 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. 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. Important We offer a pay range of $25+ 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. We are looking for independent consultants & contractors who run/operate their own business. #J-18808-Ljbffr
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AI-Driven Software Engineer Specialist
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