Responsibilities will include
Write well-designed, testable, efficient code for PHP and Node.js back-end services and React front-end applications.
Solve technical problems by working closely with Development Managers, UX, Product Managers, and offshore teams.
Review and improve code for quality and design through constant evaluation of product code and involvement in complicated or sensitive code.
Demonstrate strong written and verbal communication skills.
Manage the delicate balance between implementation complexity, time to market, and scalability.
Be team-oriented, with a willingness to standardize code and architecture.
Demonstrate mastery of database and application architecture best practices, including scalable PHP and Node.js services, maintainable object-oriented code, and reusable React components. Mentor other engineers in architectural and coding practices, as per company coding standards. Minimum Qualifications: 8+ years of software development experience, including hands-on experience building production applications using PHP, Node.js, and React.
Strong proficiency in PHP and JavaScript, including object-oriented programming and design patterns in PHP, asynchronous programming in Node.js, and React components, hooks, and state management.
Experience designing and integrating RESTful APIs, writing SQL queries, and designing database schemas.
8+ years of experience in performance optimization, debugging, and unit testing, with experience across PHP and Node.js back-end services and React front-end applications.
- Strong written and verbal communication skills.
- Preferred Qualifications
- Bachelor’s degree in Computer Science or a related field.
Experience working with offshore teams.
Experience with TypeScript and SQL databases.
Experience with transitioning from an older monolith to modern microservices.
Experience with AWS
- AI & Operational Fluency:
- AI Integration: Utilize company-approved GenAI tools to accelerate high-value deliverables.
Strategic Oversight: Exercise critical judgment as the "Human-in-the-Loop" by auditing AI outputs for factual accuracy, brand alignment, and the removal of hallucinations.
Data Governance: Ensures no proprietary or Personally Identifiable Information (PII) data is exposed to unauthorized models.
Prompt Competency: Demonstrates the ability to craft clear, context-rich prompts to achieve consistent, high-quality results across various business domains.
