Frontend Engineering Manager

JOB DESCRIPTION

Deliver web frontend services:
Build and develop web features on given requirements, collaborate effectively with product designers and backend engineers for external web services, operators who use internal operating services and backend engineers who provide API.
Analyze, propose and implement solutions to complex and flexible business features;
Maintain and improve high-quality in-house JavaScript libraries and toolsets following product design guidelines;
Work closely with other junior engineers, and conduct constructive and concise code reviews with peers, especially junior ones. 
Leadership activities:
Lead the team with clear objectives and deliverables; be on top of frontend service outcomes;
Frequently conduct coaching/feedback to boost the performance of team members and ensure member’s development;
Communicate with other teams to ensure effective synergy among cross functions.

JOB REQUIREMENT

Education: A degree in Computer Science, Software Engineer/ Information Technology, or experience in related fields. 
Experience:
Having at least 7 to 10 years and above of experience in “client-side” programming;
Intensive coding experience in component-based UI framework;
Familiar with agile software development and engineering culture.
Leadership experience in managing from 5-6 members and above.
Skills/Knowledge
Knowledge and experience in Cloud base infrastructure. (e.g. AWS, Google Cloud);
Knowledge about developing a simple API server;
Effective communication and teamwork skills, particularly the ability to work in a squad to ensure delivering project OTIF.
High problem-solving and project management skills to ensure a high volume of projects delivering OTIF. 
Talent Management skills in allocating the right resources to suitable projects and tasks.
Attitude
High learning agility and a real passion for coding and programming, innovation, and solving challenging problems;
High adaptability and flexibility to the rapid changes of the business;
High responsibility and diligence;
Detail-oriented and efficient time manager thrives in a dynamic and fast-paced working environment.

WHAT'S ON OFFER

1/ Attractive salary & benefits
12 annual leave + 4 full-paid sick leave;
Year-end bonus, performance bonus, public holiday bonus, birthday bonus;
Appraisal and salary review every year;
2/ Macbook provided
3/ Training Courses
Personal training, internal training, and overseas training in Korea.....
4/ Activities
Company trip & Team building every year;
Year-End Party;
Team building for Team/Dept every month;
Clubs: TENNIS CLUB, MOVIE CLUB, FOOD LOVERS, LUNCH DAY,…
5/ Transportation:
Taxi for working purposes
6/ Opportunity to be trained & worked in a leading e-commerce company in Viet Nam;

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, Food-Tech

Technical Skills:

Frontend, ReactJS, VueJS

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01111

Status:

Close

Related Job:

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • Machine Learning
  • Management
  • AI

Manage and expand an engineering team focused on AI-enabled signal processing for the Radio Access Network (RAN). Supervise the development of deep learning models for various tasks related to RAN. Work with global teams to drive proof-of-concepts and production-quality AI-RAN components. Supervise the integration of AI models into full-stack simulations and/or testbeds using various frameworks. Align project priorities with hardware-software co-design constraints and deployment scenarios. Provide mentorship and guidance to team members, ensure technical excellence, and contribute to strategic direction.

Negotiation

View details

Director Engineering – Software Engineering and AI Inferencing Platforms

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • Management
  • Backend
  • Devops
  • Data Engineering
  • Cloud
  • AI

Lead and expand engineering teams in Vietnam across system software, data science, and AI platforms. Drive the creation, structure, and delivery of high-performance system software platforms that support AI products and services. Collaborate with global teams across Machine Learning, Inference Services, and Hardware/Software integration to guarantee performance, reliability, and scalability. Oversee the development and optimization of AI delivery platforms in Vietnam, including NIMs, Blueprints, and other flagship services. Collaborate with open-source and enterprise data and workflow ecosystems to advance accelerated AI factory, data science, and data engineering workloads. Promote continuous integration, continuous delivery, and engineering best practices across multi-site R&D Centers. Work with product management and other stakeholders to ensure enterprise readiness and customer impact. Establish and implement standard processes for large-scale, distributed system testing including stress, scale, failover, and resiliency testing. Ensure security and compliance testing aligns with industry standards for cloud and data center products. Mentor and develop talent within the organization, fostering a culture of quality and continuous improvement.

Negotiation

View details

Principal Engineer, System Software Platform Engineering

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • Devops
  • Backend
  • AI

Create and manage a platform for AI that provides services for multiple users, handles identity and policy management, configures quotas, and controls costs. Additionally, this platform should offer easy paths for teams to work on AI projects. Oversee the deployment of AI models at scale, including routing, autoscaling, and implementing safety measures to ensure reliability and observability. Manage GPU resources in a Kubernetes environment, including device plugins, feature discovery, and scheduling strategies, among other responsibilities. Take charge of the entire lifecycle of GPUs, ensuring that driver, firmware, and runtime updates are implemented safely and consistently. Implement virtualization strategies for GPU resources, such as vGPU and PCIe passthrough, while defining policies for resource placement, isolation, and preemptive actions. Establish secure traffic and networking protocols, including gateways, service mesh, and authentication/authorization measures. Enhance observability and operational efficiency through monitoring tools for GPUs, response protocols for incidents, and optimization of costs. Develop reusable templates, integrate SDKs and CLIs, and implement infrastructure-as-code standards for the platform. Influence the platform's direction by creating design documents, mentoring engineers, and aligning platform development with the needs of AI products.

Negotiation

View details