Software Engineer (Node.js)

Take charge of designing and creating system architectures, implementing coding standards, and building cloud-native solutions.

Develop and optimize high-quality Node.js code, address software integration challenges, and enhance system performance.

Supervise the testing, deployment, and thorough documentation of integrated systems.

Provide guidance and support to junior engineers, collaborate with cross-functional teams, and ensure that solutions align with business needs and international standards.

Actively participate in every phase of Agile software development, such as generating user stories and conducting sprint planning.

Interact with a diverse range of companies, demonstrating flexibility to accommodate occasional shifts in working hours to accommodate global time zones.

Must have 8+ years of experience in Software Engineering, with at least 5+ years dedicated to Node.js.

A degree in Computer Science, Engineering, or a related field

Strong proficiency in Node.js and a deep understanding of its technologies.

Demonstrated experience in creating scalable RESTful/Microservices architectures

Proficiency in Relational and NoSQL databases, particularly using MongoDB for data modeling and schema design.

Hands-on experience with AWS services and designing cloud-native solutions, AWS navigation, and utilizing Redis for system throughput

Ability to design and maintain CI/CD pipelines.

Experience in Unit/Integration testing and TDD practice.

Working experience with Python is highly desirable.

Proficiency with Linux for system-level updates

Exceptional problem-solving abilities for software development and integration issues.

Effective communication skills for cross-cultural and cross-time zone collaboration.

Experience in leading a team or mentoring engineers.

Professional working proficiency in English.

Experience in Agile/Scrum methodologies.

Ability to work with colleagues in the US and European time zones if necessary.

Understanding of authentication/authorization (OAuth2 / SAML.)

Experience in MLOps, ML infrastructure, and model training is highly valued.

Experience using AI-assisted tools (e.g., GitHub Copilot, Claude) to understand systems and reason about code

Knowledge in or interest in learning life science is highly desirable

Attractive salary package.

Generous vacation allowance, including flexible holidays.

Comprehensive health insurance and full support as per local labor laws.

Opportunities for professional development.

Provided lunches and access to coffee, tea, and snacks.

Additional benefits as per labor laws, ensuring support for your growth and well-being.

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666