Golang Engineer (English Fluency)

• Design Next-Level Architecture: Create scalable Kubernetes (K8s) solutions across on-premise, AWS, GCP, and Azure environments, ensuring seamless integration and performance
• Craft High-Performance Databases: Design and optimize databases to handle massive data throughput with speed and efficiency
• Code with Excellence: Implement Domain-Driven Design (DDD) principles and integrate pub/sub messaging systems for clean, modular, and scalable codebases
• Master Performance Optimization: Dive into large-scale databases, hunt down slow queries, and fine-tune systems for peak performance
• Elevate Monitoring and Reliability: Leverage AWS CloudWatch, GCP Monitoring, and Azure Monitor to proactively track performance, detect issues, and ensure systems are always reliable and fast

Experience Requirements

Mandatory Skills:

• At least 3 years of experience with Golang (preferably with additional experience in C++ or Java)
• Experience with one or more Go frameworks/libraries, such as gin-gonic, echo, gorilla mux, gorm, SQLBoiler, etc.
• Understanding of Agile model (Scrum and Kanban).
• Preferably with experience in building SaaS or working in startup environments.
• Familiarity with monitoring (opentracing , open telementry…)
• Solid understanding of RESTful API Services and open API
• Experience in building Microservices and working with APIs and protocols: (HTTP , TCP , restful , grpc)
• Proficiency in using Git
• Familiarity with at least one RDBMS, such as MySQL or Postgres. Need to understand deeply with index , locking , complexity of query
• Experience working with various databases, including RDS and NoSQL.
• Solid understanding , data structures, and basic algorithms.
• Hands-on experience writing Unit Tests.

Bonus Points:

• Frontend Skills: Experience in frontend frameworks such as ReactJS, Angular, VueJS…
• DevOps Skills: Knowledge or experience with CI/CD pipelines, Docker, Kubernetes, etc.
•  AI/ML Knowledge: Familiarity or interest in Artificial Intelligence (AI) or Machine Learning (ML)

Skill Requirements

• Excellent English communication skills
• Strong teamwork skills
• Ability to allocate tasks effectively
• Strong critical thinking and logical thinking skills
• Effective problem-solving skills

Attitude Requirements

• Possess customer-oriented mindset
• Embrace and adapt to changes
• Be committed to continuous development