Senior Fullstack Web Engineer

ABOUT CLIENT

Our client is a startup company, building a trading platform with half a million users in 20 countries

JOB DESCRIPTION

We need a highly skilled developer to lead the front-end development of our web-based applications. As part of the role, they will work closely with back-end developers and handle occasional back-end tasks when needed. This involves designing and implementing user-friendly, high-performance interfaces, ensuring smooth integration with back-end services, and potentially contributing to back-end development to maintain project efficiency.
An accomplished fullstack developer should excel in creating stable, fast, and secure data exchange between servers and end-users.
Responsibilities include:
Developing and maintaining all front-end components for a high-performance web-based application.
Optimizing user interfaces for speed, scalability, and responsiveness.
Collaborating with back-end developers on integrating APIs and services for a crypto trading platform.
Demonstrating a strong willingness to learn and understand back-end technologies as needed.
Writing testable, reusable, and efficient front-end code using modern frameworks and libraries.
Ensuring web applications meet the highest standards of security and accessibility.
Recommending and implementing UI/UX improvements for better user experience.
Proactively building internal tools or web apps to support business requirements.

JOB REQUIREMENT

A bachelor’s degree in Computer Science or a related field, or an explanation for not having one.
Minimum of 2 years of experience in React (Next.js).
Proficiency in Node.js, with knowledge of Golang or Rust being an advantage.
Proactive approach in developing necessary tools or internal web apps for business needs or internal use.
At least 2 years of experience working in startups.
Strong interpersonal, communication, and collaboration skills.
Excellent analytical and problem-solving abilities.
Outstanding organizational and time management skills.
Availability to address urgent web application issues outside of regular business hours.

WHAT'S ON OFFER

Year-end bonus equivalent to 3-6 months of salary
12 days of annual leave
Additional salary payment for the 13th month
Opportunity for a salary increase based on proven work outcomes and strong commitment
Participation in an annual team-building activity
Vibrant and lively working environment

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:

ReactJS, NodeJS

Location:

Ha Noi - Viet Nam

Working Policy:

Job ID:

J01650

Status:

Close

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