Back End Engineer (Enterprise Efficiency) - Sea Labs

Sea; Jakarta Pusat; On-site; IDR 167,400 - 279,000; Full time

Job summary

Sea is seeking a Backend Developer in Jakarta, Indonesia to develop and maintain backend services for enterprise-grade products. The role includes collaborating with product managers and QA teams, writing clean and efficient code, and contributing to AI/LLM integration for backend services. Ideal candidates should have 1–3 years of experience in Java, Go, or Python and possess strong knowledge of data structures, algorithms, and REST API design. An understanding of AI tools is also essential.

Qualifications

• 1–3 years of backend development experience (Java, Go, or Python preferred).
• Solid fundamentals in data structures, algorithms, OOP/design patterns, REST API design.
• General AI literacy and understanding of AI/LLM concepts.

Responsibilities

• Develop and maintain backend services for enterprise-grade products.
• Collaborate with product managers, frontend engineers, and QA teams.
• Contribute to AI/LLM integration in backend services.

Skills

Backend development experience

Java

Go

Python

Data structures

Algorithms

OOP/design patterns

REST API design

Clean code

AI literacy

Tools

Git

SQL

Docker

Redis

Job description

About Sea Labs Indonesia

Sea Labs is at the core of the Sea platforms development, supporting diverse business lines from e-commerce, supply chain, games, payment, and finance. The strong growth and unique positioning of Sea's e-commerce business, Shopee, spurred the launch of Sea Labs Indonesia.

About the Team

The Enterprise Efficiency team is dedicated to transforming workplace productivity through seamless integration of enterprise communication, open platform capabilities, and management systems covering HR, finance, and operational tools. Our products power the daily workflows of thousands of employees across Sea group companies.

Our product lines include SeaTalk (enterprise communication and collaboration platform) and PFMS (people and financial management system). We are currently driving enterprise initiatives where we actively leverage AI-powered tools and LLM integrations to enhance product capabilities and accelerate engineering workflows.

Job Description

• Develop and maintain backend services for enterprise-grade products.
• Write clean, readable, and well-tested code that follows existing team conventions and coding standards.
• Collaborate with product managers, frontend engineers, and QA teams across the full development lifecycle – from PRD brief to production release.
• Participate in technical design discussions and contribute to technical design documents under guidance from senior engineers.
• Conduct and participate in code reviews, actively incorporating feedback to improve code quality.
• Test your own work thoroughly before handoff – you will be expected to catch basic issues before QA.
• Communicate clearly with PMs, QA, and peers: provide timely status updates, proactively raise blockers, and ask questions early when requirements are unclear.
• Learn and apply AI‑assisted development tools (e.g., Cursor, ChatGPT, Claude) to accelerate your coding, debugging, testing, and documentation workflows.
• Contribute to AI/LLM integration efforts in backend services where applicable, including API integration and output handling.

Requirements

• 1–3 years of backend development experience (Java, Go, or Python preferred).
• Solid fundamentals: data structures, algorithms, OOP/design patterns, REST API design.
• Working knowledge of relational databases (SQL queries, basic schema design, indexing).
• Familiarity with version control (Git) and basic CI/CD concepts.
• Able to write clean, readable code and follow existing code conventions.
• General AI literacy – understands core AI/LLM concepts and can evaluate where AI capabilities can be practically applied to improve product features or engineering processes.

Nice‑to‑Have Technical Skills

• Experience with microservices or service‑oriented architecture.
• Familiarity with caching (Redis), message queues, or containerization (Docker).
• Exposure to automated testing frameworks (unit tests, integration tests).
• Proficient in using AI‑assisted development tools (e.g., Cursor, ChatGPT, Claude) to accelerate coding, debugging, testing, and documentation workflows.
• Hands‑on experience integrating AI/LLM APIs into backend services (e.g., prompt engineering, API integration, output parsing).