Software Engineer (Node.js)

ABOUT CLIENT

Our client is a leading data analytics company. They specialize in providing advanced data solutions to help businesses make informed decisions and drive growth

JOB DESCRIPTION

Create system architectures, set coding standards, and build cloud-native solutions.
Write top-notch Node.js code, enhance system performance, and solve intricate software integration issues.
Manage the testing, deployment, and thorough documentation of unified systems.
Guide junior engineers, collaborate across teams, and ensure solutions align with business needs and international standards.
Actively participate in Agile software development stages, including crafting user stories and conducting sprint planning.
Collaborate with multinational companies, while occasionally adjusting to US and EU time zones.

JOB REQUIREMENT

5+ years of professional experience in Software Engineering, with at least 3+ years dedicated to Node.js.
Strong expertise in Node.js and a deep understanding of its technologies.
Proven experience in creating scalable RESTful/Microservices architectures.
Hands-on experience with AWS services (S3, EC2, ASG, SQS, VPC, SG) and cloud-native solution design. Use of Redis to improve system throughput during complex system-level updates, and Elastic Cache to enhance system performance while effectively utilizing AWS services.
Proficiency in Relational and NoSQL databases, particularly in utilizing MongoDB for performance, scalability, and query optimization.
Capability to design and maintain CI/CD pipelines.
Experience in Unit/Integration testing (Mocha, Chai, or Jest) and TDD practice.
Proficiency with Linux and ability to manage complex system-level updates.
Bachelor's or Master's degree in Computer Science, Engineering, or a closely related field.
Outstanding problem-solving skills for complex software development and integration issues.
Strong communication skills facilitating effective cross-cultural and cross-time zone collaboration. Experience in mentoring less experienced engineers.
Professional working proficiency in English.
Experience in Agile/Scrum methodologies.
Ability to work with colleagues in US and European timezones as needed.
Working experience with Python is highly desirable.
Understanding of authentication/authorization (OAuth2 / SAML.)
Valuable experience in MLOps, ML infrastructure, and model training.
Familiarity with AI-assisted tools (e.g., GitHub Copilot, Claude) to understand systems, reason about code, and accelerate skill growth.
Knowledge in or interest in learning life science is highly desirable.

WHAT'S ON OFFER

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.

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

NodeJS, AWS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J02186

Status:

Active

Related Job:

Senior Full-Stack Engineer (AI Service Desk)

Ho Chi Minh - Viet Nam

Outsource

  • .NET
  • ReactJS
  • Azure

Create and maintain backend services and APIs using C# and .NET technologies Construct contemporary frontend applications and dashboard interfaces using React Establish scalable integrations between operational systems, analytics services, and reporting layers Possess full-stack development experience across frontend and backend systems Collaborate with engineering and product teams to translate business requirements into technical solutions Enhance application performance, maintainability, and scalability Engage in technical discussions, code reviews, and architecture decisions Contribute to engineering standards and development best practices

Negotiation

View details

Senior AI DevSecOps Engineer

Ho Chi Minh - Viet Nam

Product

  • Devops
  • AWS
  • Azure
  • Security

Management of CI/CD Pipeline: Ensure automation, security, and scalability across all stages of the development lifecycle. Infrastructure & Security: Design and implement secure multi-cloud infrastructure solutions leveraging cloud services, containerization, and orchestration tools. Policy as Code: Define and enforce security and compliance policies across Kubernetes clusters using OPA or Kyverno, ensuring guardrails are automated and auditable. AI & Platform Automation: Drive the adoption of AI-powered tools and workflows to automate infrastructure operations, optimize CI/CD pipelines, accelerate root cause analysis, improve security posture, and enhance engineering productivity. Observability & Alerting: Build and maintain a comprehensive observability stack with proactive alerting, dashboards, and runbooks for critical business flows and security events. Secret & Credential Management: Design and enforce secrets management practices across all environments ensuring zero hardcoded credentials in codebases and pipelines. Incident Response & On-Call: Own and continuously improve incident response processes, define runbooks, lead post-mortems, track MTTR, and participate in on-call rotation to maintain platform reliability and SLO adherence. Threat Modelling & Penetration Testing: Conduct regular threat modelling sessions with engineering teams and coordinate or perform penetration testing activities to proactively identify attack surfaces before they reach production. Code Security: Conduct regular code reviews and static/dynamic analysis to identify and remediate security vulnerabilities. Compliance and Best Practices: Ensure compliance with industry standards and best practices. Collaboration: Collaborate with development, operations, and security teams to foster a culture of automation and security-first thinking. Mentorship: Mentor junior engineers and other team members on security best practices. Documentation: Maintain thorough and up-to-date documentation of security policies, procedures, and incident reports. Trend Scouting: Stay updated with the latest trends in technology and AI to integrate innovative solutions into our processes.

Negotiation

View details

Senior Data Engineer (C++, Python, AI/LLM)

Ho Chi Minh - Viet Nam

Outsource

  • Data Engineering
  • C/C++
  • Python

Refine a wide array of structured and unstructured data to produce high-quality datasets for quantitative analysis and financial engineering. Improve data integrity and quality by creating validation tools and frameworks to assess the effectiveness of data enrichment pipelines. Gain expertise in machine learning, deep learning, and emerging AI/LLM applications, and analyze the underlying dynamics and behaviors in the data. Derive insights from large-scale datasets and collaborate with research teams to pinpoint opportunities for tradable signals. Create utility tools to automate software development, testing, deployment, and monitoring workflows. Offer technical support to global researchers, including diagnosing technical issues, troubleshooting Python and C++ code, and suggesting scalable fixes and improvements. Troubleshoot and resolve issues in C++ applications and data pipelines with a strong focus on performance, stability, correctness, and maintainability. Investigate and implement AI/LLM-based solutions to enhance data processing, workflow efficiency, troubleshooting, documentation, and research support processes.

Negotiation

View details