Software Engineer
KKP (Kiatnakin Phatra Financial Group) →Bangkok, Thailand
Estimated range. Confirm compensation with the employer.
Bangkok, Thailand
Estimated range. Confirm compensation with the employer.
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Listing record updated: October 16, 2026. We archive records after 60 days without an update. This date does not confirm that the employer is still hiring.
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Kiatnakin Phatra Bank Public Company Limited is hiring a Software Engineer for its Digital & Technology team in Bangkok. The role focuses on backend development with Go (Golang), building scalable services, APIs, and microservices that support mission-critical business applications, while collaborating with product, DevOps, and front-end teams.
The position requires a Bachelor's degree in Computer Science, Engineering, or a related field and at least 3 years of professional backend development experience with a strong Golang focus. Candidates should understand the Go runtime, goroutines, channels, and memory management, and have experience with RESTful or gRPC APIs, relational and non-relational databases, Docker, Kubernetes, and cloud platforms such as AWS, GCP, or Azure.
Design, implement, and maintain scalable, reliable, and high-performance backend services using Go (Golang)
Develop APIs and microservices that align with product requirements and architectural standards
Collaborate with product managers, DevOps engineers, and front-end developers to deliver seamless end-to-end solutions
Write clean, efficient, and testable code, adhering to industry best practices and internal coding guidelines
Participate in system architecture and design reviews to ensure robustness and scalability
Bachelor's degree in Computer Science, Engineering, or a related technical field
3+ years of professional experience in backend development with a strong focus on Golang
Solid understanding of Go runtime, goroutines, channels, and memory management
Proficiency in building and consuming RESTful and/or gRPC APIs
Experience with relational (PostgreSQL, MySQL) and non-relational (MongoDB, Redis) databases, Docker, Kubernetes, and cloud environments such as AWS, GCP, or Azure
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