Software Engineer Specialist at Invisible Agency

, , Argentina -

Full Time

Start Date

Immediate

Expiry Date

23 Dec, 25

Salary

25.0

Posted On

25 Sep, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Problem-Solving, Analytical Thinking, Independent Work, Time Management, Communication, Attention to Detail, Quality Focus

Industry

Software Development

Description

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: 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 any 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 Optimize application performance (load times, rendering, resource usage) 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

Responsibilities

The Software Engineer Specialist develops and tests innovative software solutions with a focus on AI enablement. Responsibilities include coding, debugging, designing APIs, and collaborating with multidisciplinary teams.