Full Stack Developer

JOB DESCRIPTION

We are looking for a highly skilled computer programmer who is comfortable with both front and back-end programming.
Full–stack developers will be required to see out a project from conception to final product, requiring good organizational skills and attention to detail.
Full-stack developers are responsible for developing and designing front-end web architecture, ensuring the responsiveness of applications, and working alongside graphic designers for web design features, among other duties.
 
Full Stack Developer Responsibilities:
Developing front-end website architecture.
Developing back–end website applications.
Designing user interactions on web pages.
Designing and developing APIs.
Creating servers and databases for functionality.
Ensuring cross–platform optimization for mobile phones.
Ensuring responsiveness of applications.
Working alongside graphic designers for web design features.
Seeing through a project from conception to finished product.
Meeting both technical and consumer needs.
Staying abreast of developments in web applications and programming languages.
Good to have:
Golang
GraphQL

JOB REQUIREMENT

Degree in computer science.
Strong organizational and project management skills.
Proficiency with server–side languages such as Python, Ruby, Java, PHP, and .Net.
Proficiency with fundamental front–end languages such as HTML, CSS, and JavaScript.
Familiarity with database technology such as MySQL, Oracle, and MongoDB.
Familiarity with JavaScript frameworks such as Angular JS, React, and Amber.
Excellent verbal communication skills.
Good problem–solving skills.
Attention to detail.

WHAT'S ON OFFER

We are applying hybrid working model, 2 days at the office. However, during the probation period, we request the employee go to the office 4 days per week.
13th salary
14 days of annual leave (to be finalized with the group to add more)
Full salary during the probation, full social–health insurance
Other benefits will be discussed at the offer stage

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:

Outsource

Technical Skills:

Backend, Frontend

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

$ 1,000 - $ 3,300

Job ID:

J01337

Status:

Close

Related Job:

Senior Backend Engineer - NAVER Financial

Ho Chi Minh - Viet Nam


Product

Responsible for developing and maintaining the server-side components using the Kotlin programming language. Write and maintain technical documentation, including system architecture and API specifications.

Negotiation

View details

AI-Native Software Engineering Lead

Ho Chi Minh - Viet Nam


Outsource

  • Backend
  • AI

Responsible for developing and evolving the AI-native SDLC operating model, including agent workflow designs, verification gates, context management standards, and evaluation frameworks Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent, from prototype to production Collaborate with the Director of Engineering to contribute to and maintain the company's AI toolchain selection criteria and evaluate tools with engineering rigor, providing internal guidance on when AI is beneficial and when it is not Establish engineering standards, agent evaluation loops, and AI output quality gates across the delivery organization Previous experience in a lead, principal, or staff engineer role with demonstrated cross-team influence Experience in outsourcing, consulting, or multi-client delivery environments Track record of building or leading an internal community of practice, guild, or AI adoption program Develop and continuously evolve the company's AI-native SDLC playbook, including standards, workflow templates, case studies, and guardrails that delivery teams can adopt immediately Design and lead internal upskilling programs that transition engineers from AI-assisted to AI-native working patterns Keep track of the AI capability frontier, model improvements, new agent frameworks, and emerging risks, translating signals into timely updates to client practices Work closely alongside Delivery Teams as an AI transformation advisor and execution partner, identifying the highest-value automation opportunities across the SDLC and coordinating with the team to implement them Design and deploy agent-orchestrated workflows tailored to each client's stack, team maturity, and delivery context, with measurable ROI Build business cases for AI-native adoption with clients and account managers, framing the value in terms of velocity, quality, and cost Represent the company's AI-native engineering capabilities in client conversations, QBRs, and RFP responses as a credible technical authority

Negotiation

View details

Platform Lead

Others - Singapore


Product

  • Backend
  • Devops
  • Data Engineering

Develop and expand distributed systems to handle large volumes of sensory, telemetry, and control data across cloud and edge environments, facilitating real-time connections for fleets of robots. Create the API Platform with a focus on high reliability, exceptional developer experience, and robust multimodal AI capabilities accessible through user-friendly APIs and SDKs. Establish extensive training and inference platforms for foundation models used in robot autonomy, teleoperation, and developer integrations. Devise data ingestion and streaming pipelines for real-time connectivity of robot fleets to the cloud, covering various data inputs such as video, LiDAR, joint states, and audio. Oversee and advance a modern cloud native infrastructure stack employing Kubernetes, Docker, and infrastructure as code tools. Ensure platform reliability through telemetry, monitoring, alerting, autoscaling, failover, and disaster recovery measures. Make infrastructure decisions pertaining to distributed storage, consensus protocols, GPU orchestration, network reliability, and API security. Foster collaboration across ML, robotics, and product teams to facilitate hardware in the loop simulation, policy rollout, continuous learning, and CI/CD workflows. Implement secure APIs featuring fine-grained access control, usage metering, rate limiting, and billing integration to accommodate a growing user base.

Negotiation

View details