Job-Specific Essential Duties and Responsibilities:
- Translate design mockups into functional web components with logical state management.
- Design and implement RESTful APIs with secure authentication and authorization mechanisms.
- Perform advanced schema design including complex joins, indexing strategies, and database migrations.
- Integrate third-party services, APIs, and cloud-based AI platforms into a unified application architecture.
- Deploy and manage containerized applications utilizing containerization and orchestration platforms.
Job-Specific Minimum Requirements:
- Due to contract requirements candidates must be U.S. Citizens. Applicants who are Green Card holders or who require sponsorship cannot be considered.
- Ability to successfully pass a government-sponsored Public Trust clearance process.
- Bachelor's degree in Computer Science, Engineering, or related field. Equivalent practical experience may be considered in lieu of a degree on a year-for-year basis.
- 3+ years of professional experience.
- Strong understanding of modern JavaScript frameworks (e.g., ReactJS, VueJS) for building dynamic user interfaces.
- Proficiency in writing clean, semantic HTML5 and responsive CSS3 for cross-browser compatibility.
- Proficiency in at least one server-side programming language (e.g., Python with Flask, Node.js with Express, Java with Spring Boot).
- Experience with relational database systems (e.g., PostgreSQL, MySQL) and the ability to write efficient SQL queries.
- Competence in using Git for version control, including branching strategies and resolving merge conflicts (e.g., GitHub, GitLab).
- Experience working within Agile frameworks to meet milestones while balancing multiple project requirements.
Preferred Skills and Qualifications:
- Ability to translate design mockups into functional web components with logical state management (e.g., Redux, Pinia).
- Experience in optimizing frontend performance to ensure fast load times and smooth user interactions.
- Experience in designing and implementing RESTful APIs with secure authentication and authorization mechanisms (e.g., JWT, OAuth2).
- Ability to integrate third-party services and APIs into a unified application architecture.
- Competence in handling data serialization and parsing using common formats like JSON.
- Proficiency in using Object-Relational Mapping (ORM) tools (e.g., SQLAlchemy, Sequelize, Hibernate) to interact with databases programmatically.
- Ability to perform advanced schema design including complex joins, indexing strategies, and database migrations.
- Understanding of database normalization and maintaining data integrity across distributed systems.
- Practical understanding of cloud-based AI platforms (e.g., Google Cloud Vertex AI, Azure AI Services) to integrate AI capabilities into applications.
- Experience interacting with Large Language Model (LLM) APIs (e.g., OpenAI, Gemini) to implement features like natural language processing or automated content generation.
- Familiarity with prompt engineering techniques to optimize the performance and accuracy of AI-driven features.
- Basic knowledge of vector databases and embeddings (e.g., Pinecone, Weaviate, pgvector) for implementing semantic search or retrieval-augmented generation (RAG).
- Familiarity with containerization tools (e.g., Docker) to create consistent development and production environments.
- Practical familiarity with orchestration platforms (e.g., Kubernetes) for deploying and managing containerized applications.
- Experience writing basic unit tests to verify the correctness of individual functions or components.
- Advanced debugging skills using specialized tools (e.g., Chrome DevTools, VS Code Debugger, IntelliJ Debugger) to identify and resolve complex logic errors.
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