Develop complex applications with a focus on Node.js.
Assist with system design, coding, and improving application performance.
Collaborate with other developers and assist with testing.
Lead and supervise the development team, ensuring projects meet quality standards.
Design, implement, and deliver highly scalable solutions based on cloud-based architecture.
Continuously develop, release, monitor, and improve systems and services.
Promote software development processes and best practices, provide mentorship to team members.
Participate in Agile ceremonies to ensure alignment and progress tracking.
Provide regular status updates to stakeholders regarding project progress.
Requirements
Strong expertise in Node.js, with experience building scalable and efficient backend systems and APIs.
Knowledge of SQL and familiarity with relational databases like Oracle or similar platforms.
Experience with modern front-end frameworks, specifically React or Angular, and familiarity with Bootstrap for UI development.
Exposure to additional languages and frameworks such as PL/SQL, Java/JSP, jQuery, HTML5, CSS3, PHP, Ruby, and ColdFusion is beneficial but not mandatory.
Proficient with source control tools like Git for collaborative development and versioning.
Knowledge of secure coding practices and familiarity with standards like OWASP Top Ten and SANS CWE, with a commitment to adapting to evolving security threats through audits and ongoing education.
Team-oriented with exceptional collaboration and communication skills, both verbal and written.
Exceptional multitasking abilities, capable of balancing multiple projects and priorities effectively.
An analytical mindset with superior problem-solving abilities and a strong inclination to learn and implement new techniques.
Familiarity with mobile-first development and responsive design is a plus.
Strong hands-on experience with modern AI models and coding tools that improve development velocity and software quality.
Ability to apply AI across the Node.js lifecycle, including implementation, refactoring, debugging, and unit/integration test creation.
Experience using AI to strengthen CI/CD and quality engineering practices (test generation, flaky test analysis, release validation, and review support).
Proven ability to design or integrate automation that increases team efficiency, reduces repetitive work, and improves delivery consistency.
Practical understanding of model selection, prompt strategy, output validation, and safe handling of proprietary or sensitive information.
Evidence of measurable outcomes from AI-enabled engineering (faster delivery cycles, stronger test posture, and reduced production defects).