Senior Golang Developer

JOB DESCRIPTION

As a (Senior) GoLang Developer, you will be entrusted with the responsibility of crafting high-quality solutions for premier investment banks globally. Your daily tasks will encompass working within a Scrum framework, developing innovative functionalities, conducting module testing, documenting your progress, and reporting to the Team Leader.
Backend Development: Design and construct advanced backend services using the Go programming language
Collaboration: Work in synergy with cross-functional teams to conceptualize, design, and deliver new features
Data Integration: Interface with external data sources and APIs
Quality Assurance: Conduct unit tests on code for robustness, including edge cases, usability, and overall reliability
Continuous Improvement: Continually discover, assess, and implement new technologies to optimize development efficiency
Bug Fixing: Address bug fixing and enhance application performance

JOB REQUIREMENT

A minimum of 4 years of professional experience as a Backend GoLang Developer
Have a good command of English
Demonstrable experience in software development
Practical experience in backend development
Profound familiarity with the Go programming language
Experience with OOP, MVC Design Pattern, Clean Architecture, Go Routines, and Unit Tests
Comprehensive understanding of the full backend development life cycle
Experience with databases such as PostgreSQL or MySQL
Nice-to-have requirements:
Familiarity with JIRA or other project management tools
Experience in CI/CD, Docker, and static code quality analytics
Experience in database management and optimization
Experience in designing and developing RESTful APIs
Experience with cloud platforms like AWS or Azure

WHAT'S ON OFFER

Competitive salary
13th-month salary guarantee
Performance bonus
Professional English course for employees
Premium health insurance
Extensive annual leave

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:

Information Technology & Services

Technical Skills:

Golang

Location:

Ho Chi Minh, Ha Noi, Da Nang - Viet Nam

Working Policy:

Salary:

70,000,000 - 90,000,000 VND

Job ID:

J01473

Status:

Close

Related Job:

Senior Deep Learning Engineer - AI for Wireless Systems

Ho Chi Minh, Ha Noi - Viet Nam


Computer Hardware

  • Machine Learning

Design and prototype deep learning models for wireless signal processing tasks such as channel estimation, beam alignment, link adaptation, and scheduling. Work with simulation tools and real-world datasets to build models that generalize across diverse wireless scenarios. Implement, train, and validate neural networks (e.g., CNNs, Transformers, GNNs) using PyTorch or TensorFlow. Collaborate with researchers and system engineers to integrate models into fullstack RAN. Optimize model performance for real-time inference and hardware acceleration. Contribute to model evaluation, benchmarking, and deployment readiness on GPU platforms.

Negotiation

View details

Senior Natural Language Processing Engineer

Ho Chi Minh - Viet Nam


Computer Hardware

  • Machine Learning
  • NLP

Develop and refine AI language models for various NLP tasks, including translation and sentiment analysis. Implement and integrate models across multiple language pairs, ensuring seamless integration within Our Client's projects. Collaborate with multi-functional teams to ensure the successful deployment of NLP models. Continuously evaluate and improve model performance to maintain world-class standards.

Negotiation

View details

Senior Data Engineer, Log Analytics

Ho Chi Minh - Viet Nam


Computer Hardware

  • Data Engineering

Own the development of innovative technologies and strategies, emphasizing the effective visualization and analysis of log data. Analyze Syslog and telemetry data with precision to predict and classify errors and job failures. Collaborate with colleagues to establish new technology directions and effectively deploy groundbreaking log analytics solutions. Collaborate with multi-functional teams to identify efficient data analysis strategies and methods.

Negotiation

View details