Lead Software Engineer, Backend - Business Platform
Grab is hiring a Lead Software Engineer, Backend - Business Platform in Jakarta, Indonesia. Level rates it ; you can apply on Grab.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- The posting mentions LangChain, LlamaIndex and LangGraph among its tools and skills.
- Level classes it as a lead role.
- Grab has 436 other open roles on Level.
- Posted within the past two weeks.
AI in this role
About Grab and our workplace
Grab is Southeast Asia's leading superapp. From getting your favourite meals delivered to helping you manage your finances and getting around town hassle-free, we've got your back with everything. In Grab, purpose gives us joy and habits build excellence, while harnessing the power of Technology and AI to deliver the mission of driving Southeast Asia forward by economically empowering everyone, with heart, hunger, honour, and humility.
Get to know the Team
The Business Platform team at Grab focuses on empowering a diverse range of Southeast Asian merchants—from local street stalls to international franchises—by providing them with professional tools via the GrabMerchant Super App and Portal. By leveraging data from billions of monthly transactions, the team delivers insights and innovative features that enhance efficiency and customer engagement, effectively leveling the playing field for smaller businesses. Operating as a distributed team across Indonesia and Singapore, they prioritize stability and quality to directly impact merchant profitability and ensure that business owners can focus on their core operations.
Get to know the role
We are seeking talented & passionate Engineers to join our team, you will have opportunities to work on multiple backend services as well as participating in merchant immersions, talking directly to the end-users, identifying their challenges and how we can help them in their work life. It is very important that our team members to identify problems, and have the right mindset and skill sets to solve them.
The Day-to-Day Activities
- End-to-End System Ownership: Independently designs, builds, and operates high-quality software systems, ensuring they are secure, reliable, maintainable, and rigorously tested.
- Architectural & Operational Excellence: Applies advanced architectural patterns and infrastructure best practices, while maintaining accountability for post-deployment monitoring and system health.
- Strategic Stakeholder Partnership: Collaborates effectively with both technical and non-technical stakeholders, actively contributing to the entire product lifecycle from initial design to final rollout.
- Process Optimization: Proactively identifies and implements improvements to team workflows and engineering processes to enhance overall efficiency and delivery.
- Mentorship & Team Growth: Acts as a senior leader by mentoring junior engineers and fostering a culture of continuous learning and professional development within the team.
What Essential Skills You Will Need
- 8+ years of professional software engineering experience, with strong hands-on proficiency in Python and/or Go.
- Deep expertise in designing, building, and maintaining distributed backend architectures and microservices.
- Proven track record with core backend infrastructure, including relational and NoSQL databases, caching layers (e.g., Redis), and message brokers/event streaming (e.g., Kafka, RabbitMQ).
- Strong expertise in RESTful API design, contract management, and service-to-service communication (e.g., gRPC).
- Solid foundation in system design, high-availability architecture, and performance optimization at scale.
- Practical experience deploying and managing services on modern cloud platforms (AWS, GCP, or Azure), adhering to CI/CD and DevOps best practices.
- Proactive learner with strong ownership, keeping pace with emerging backend patterns and AI technologies.
- Hands-on experience building Generative AI applications or AI Agent workflows using frameworks such as LangChain, LangGraph, or LlamaIndex.
- Practical knowledge of RAG (Retrieval-Augmented Generation) pipelines and vector databases (e.g., Pinecone, Milvus, Qdrant, pgvector).
Life at Grab
We care about your well-being at Grab, here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex, create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave, and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through life's challenges.
- Balancing personal commitments and life's demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For At Grab
We are committed to building an inclusive and equitable workplace that provides equal opportunity for Grabbers to grow and perform at their best. We consider all candidates fairly and equally regardless of nationality, ethnicity, race, religion, age, gender, family commitments, physical and mental impairments or disabilities, and other attributes that make them unique.
How we rate this
Lead Software Engineer, Backend - Business Platform at Grab rates 21 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $167k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- What are the limits of LangChain that you've run into, and how did you work around them?
- What's a project where you used LlamaIndex hands-on?
- Walk me through how you've used LangGraph in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, LangChain, LlamaIndex, and LangGraph. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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