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Back End Engineer (Enterprise Efficiency) - Sea Labs

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Onsite

Back End Engineer (Enterprise Efficiency) - Sea Labs

Sea

Back End Engineer (Enterprise Efficiency) - Sea Labs

Skills

SQL QueriesE-commerce WebsitesDockerPythonGolangJavaTesting & QAMicroservicesRedisGitAISupply Chain

2 months ago

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Important information


Contract type:

Permanent

Location:

Jakarta, Indonesia

Work mode:

Onsite

Published on:

4 September 2026

What they need


About the Team: 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, among many others. The strong growth and unique positioning of Sea's e-commerce business, Shopee, spurred the launch of Sea Labs Indonesia. Since its inception, the group of passionate engineers has charted the course to drive the best experience for our users in Indonesia, many of which solutions are even adapted to other markets in the region.

Sea's hyper-growing business scale has transformed most "innocent" problems into huge technical challenges, and there is no better place to experience world-class projects first-hand if you love technologies as much as we do. Together with our passionate and driven teams, you'll get to develop your skills, build on industry knowledge, and collaborate with global teams in a dynamic space. Browse our Sea Labs Indonesia team openings to see how you can make an impact with us.

About 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)

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