Engineering Manager

ABOUT CLIENT

Our client is a big fintech company from Japan

JOB DESCRIPTION

Lead multiple project teams or departments in all aspects of product development
Develop and implement a strategic plan for the department to achieve organizational goals
Participate in the recruitment and development of employee skills and performance to meet the organization's needs
Implement a fair and equitable employee performance evaluation system.

JOB REQUIREMENT

Background in Information Technology, Software Engineering, or Information System
Extensive experience in software development (10+ years)
Strong track record in managing web projects or product development (8+ years)
Prior experience as a senior Java or Golang software engineer or higher
Proven ability in handling/building an engineering team of 50+ members and organizational agility
Excellent problem-solving skills, particularly in dealing with escalated or critical issues
Proficient in people management, including employee satisfaction, career growth, performance review, coaching, mentoring, and 1:1 meetings
Experience in managing/developing B2B applications
Expertise in Agile methodologies (Scrum, Kanban, LeSS) and practices
In-depth knowledge of security and robust high-performance system
Proficiency in microservices, micro-frontend, and multi-tenant architecture design/implementation
Experience in solving complex business and technology requirements/problems such as Finance System, Accounting System, Banking System, Distributed System, and Scalable web applications
Professional working proficiency in English
 
Nice to have:
Prior experience at a similar level in an IT firm, such as Engineering Manager, Department Manager, VP of Engineering, Head of Delivery, or CTO
Ability to build and scale a strong/Agile engineer team from scratch to 50, including recruitment, software development process, career growth, role definition, project organization structure, engineering culture, and continuous improvement for teams and organization

WHAT'S ON OFFER

Benefits for Employees:
Employees have the flexibility to work two days in the office and three days from home
Work hours are flexible, with the option to start between 8AM-9AM from Monday to Friday
Full salary during the probation period
Eligibility for various insurance benefits, including social, health, and unemployment insurance, as well as private health and accident insurance
Additional perks such as a 13th-month salary, 16-24 paid days off, and paternity leave
Opportunities for annual company trips, quarterly team building activities, and participation in billiards and running clubs
Access to an annual health check and well-equipped facilities, including a MacBook Pro and additional monitor
Career Growth and Development Support:
Clearly defined career paths for employees
Sponsorship for foreign language and international technology-related certifications
Access to both internal and external training courses, soft-skill workshops, and tech seminars
Recognition awards and biannual performance and salary reviews (in June and December)

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, Fintech

Technical Skills:

Golang, Management

Location:

Ha Noi - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01183

Status:

Close

Related Job:

Engineering Manager - AI for RAN and 6G Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning
  • Management

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


Computer Hardware

  • Management
  • Backend
  • Cloud
  • Data Engineering
  • 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


Computer Hardware

  • 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