Backend Technical Leader

ABOUT CLIENT

Our client is a leading global technology company that provides a wide range of IT services and solutions. With a strong focus on innovation and digital transformation, our client helps businesses adapt to the ever-changing technological landscape. Their expertise in areas like cloud computing, cybersecurity, and AI makes them a valuable partner for organizations.

JOB DESCRIPTION

We are searching for an experienced Lead Backend Golang Developer to become part of our team and collaborate with our valued client, a well-known banking organization. As a Lead, your role will involve developing, maintaining, and advancing robust, scalable, and secure backend systems tailored to the client's requirements.
Take charge of a team of developers to create and deploy scalable and sustainable backend solutions using Golang.
Develop and deploy server-side banking applications and services using Go programming language.
Work closely with various teams such as software architects, product managers, and front-end developers to comprehend project needs and transform them into efficient backend solutions.
Uphold industry best practices and coding standards by producing clean, reusable, secure, and well-tested code.
Engage in code reviews to ensure quality, maintainability, and adherence to established coding guidelines.
Address production issues by identifying and implementing effective solutions to ensure smooth system operations.
Keep abreast of the latest trends and advancements in backend development.

JOB REQUIREMENT

A Bachelor's degree in computer science, Software Engineering, or a related field is required.
The ideal candidate will have experience in developing backend applications using modern programming languages such as Java, Kotlin, Python, NodeJS and prior experience with Go is a plus.
Proficiency in microservices architecture and exposure to RESTful, gPRC or messages based APIs is necessary.
Strong problem-solving skills and the ability to analyze and resolve complex technical issues is essential.
Working proficiency in English, both verbal and written, is required.
Excellent communication and leadership skills are necessary for collaborative work in a fast-paced environment.
Nice to have:
Experience in developing scalable batch/workflow processing applications using technologies like Temporal and Apache Airflow is a plus.
Understanding the importance of secure codes, especially in the context of banking and finance, is beneficial.
Familiarity with Cloud, Docker, Kubernetes, CI/CD and other modern technologies such as Logging and Monitoring is advantageous.
Experience with automation testing (e.g. unit test, integration test and load test) and performance optimization is preferred.
Experience mentoring junior/mid-level software engineers is a desirable skill.

WHAT'S ON OFFER

This position offers hybrid working arrangements, with three days working in the office and flexible hours.
Salary is negotiable based on candidate expectations.
Employees are entitled to 18 paid leaves annually, which includes 12 annual leaves and 6 personal leaves.
The insurance plan includes coverage based on full salary, a 13th-month salary, and performance bonuses.
A monthly meal allowance of 730,000 VND is provided.
Employees receive 100% full salary and benefits from the start of employment.
Medical benefits are extended to the employee and their family.
The work environment is fast-paced, flexible, and multicultural with opportunities for travel to 49 countries.
The company provides complimentary snacks, refreshments, and parking facilities.
Internal training programs covering technical, functional, and English language skills are offered.
The regular working hours are from 08:30 AM to 06:00 PM on Mondays to Fridays, inclusive of meal breaks.

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, Golang

Location:

Ho Chi Minh, Ha Noi - Viet Nam

Working Policy:

Hybrid

Salary:

Negotiation

Job ID:

J01707

Status:

Close

Related Job:

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

Golang Software Engineer

Ho Chi Minh - Viet Nam

Product

  • Golang

Task Ownership & Delivery: Monitor task progress and ensure timely, high-quality completion of assignments. Technical Planning: Develop and present technical approaches prior to implementation, including detailed requirement analysis and planning. Team Collaboration: Work closely with peers to provide ongoing production support and deliver reliable solutions to customers. Technology Exploration: Continuously research and evaluate emerging technologies and tools to enhance development efficiency and product capabilities. Core Development: Build and maintain the foundational components of the project, ensuring scalability and robustness. Engineering Best Practices: Apply principles such as Test-Driven Development (TDD) and Domain-Driven Design (DDD) to guide architectural decisions. Integration Development: Design and implement integrations with third-party APIs and external tools to extend product functionality.

Negotiation

View details