Backend Web Dev (Java/Spring/MySQL)

JOB DESCRIPTION

Participates in design, development, implementation and maintenance of complex financial systems using new technologies;
Develop high-volume, low-latency applications for financial systems, delivering high-availability and performance;
May provide technical solutions and system architecture;
Program and optimize to ensure the best performance, quality and responsiveness of the applications;
Define site objectives by analyzing user requirements; envisioning system features and functionality;
Prepare and produce releases of software components;
Continuous improvement by researching new alternatives and technologies and presenting these for architectural review; 

JOB REQUIREMENT

MUST HAVE
At least 2-3 years of Java programming experience;
Strong experience with Java/JEE, Spring framework (Spring-core, Spring-boot, Spring Security), JDBC, Hibernate, myBatis;
Experience in Web Framework (Spring MVC, Spring Rest, struts), JavaScript framework (Angular, Jquery);
Experience in multi-thread;
Experience in Web Container (Tomcat, Jetty) is an advantage;
Good knowledge of Object-oriented analysis (OOA/OOP) and design patterns;
Familiarity with caching (Memcache, Redis) is an advantage;
NICE TO HAVE
Experience in Javascript framework (Ember, React, Backbone)is an advantage;
Good knowledge of Relational Database (MySQL) is an advantage;
Familiarity with code versioning tools, build tools such as SVN, Git, Jenkins, Ant, Maven, etc is an advantage;
Ability to multi-tasks and switch context to changing priorities in highly dynamic environment;
Should be strong in communication skills

WHAT'S ON OFFER

Signing a labor contract, enjoying 12 annual leave days and public holidays and New Year holidays according to state regulations
Review salary increase
13th month salary
Lunch allowance, position allowance...
Provide free snacks, tea, and coffee
The Company gives Tet Gifts, Birthday Cakes...
Party every month, participating in sports, entertainment and entertainment activities with the Company
The opportunity to interact and learn the most advanced technologies in the IT field.
Working time: Monday - Friday 

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, Android, iOS, Java

Location:

Ha Noi - Viet Nam

Working Policy:

Salary:

$ 1,000 - $ 2,000

Job ID:

J00498

Status:

Close

Related Job:

Android Engineer (Java/Kotlin)

Ho Chi Minh - Viet Nam


Product

  • Android

Develop Android App part of various Services Develop new services and improve structures Analyze and apply new technologies to services

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