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Grab

Senior Software Engineer, Backend

Grab is hiring a Senior Software Engineer, Backend. 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.
  • Level classifies it as a senior role.
  • Level lists 436 other open roles at Grab.

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 SNP team builds the personalization platforms that power every business vertical across Grab, serving millions of consumers, merchants and partners in Southeast Asia. Our mission is to help consumers discover and enjoy maximum value through engaging experiences and offers, while driving sustainable growth for merchant partners, Grab, and multiple businesses. Large-scale personalization is how we cut through choice overload — surfacing the most relevant meals, services and offers in seconds to lift conversion and engagement, while delivering tailored value that grows merchant and partner revenue. Our systems are among the most used in Grab, involved in virtually every transaction made, and we operate with an experimental mindset where the customer decides what works. The team members are located in China, Malaysia and Singapore.

Get to know the Role

You are expected to take strong ownership — proactively identifying problems, framing them clearly, and driving them to resolution with minimal guidance. You take end-to-end accountability for the systems you own, anticipate failures and design fallbacks before they surface, and consistently raise the engineering bar for the people around you. You bring hands-on experience building and operating recommendation systems, with a solid understanding of recommendation design and optimization across the full funnel, familiarity with model architectures and feature engineering, and a working knowledge of machine learning.

You will be reporting to the Software Engineering Manager II and will be base onsite at our Petaling Jaya, Selangor, Malaysia office.

The Critical Tasks You Will Perform

  • You will oversee the end-to-end recommendation pipeline — candidate generation, pre-ranking, and ranking — leading both iterative improvements and innovations.
  • You will design and write in the Go language to improve the availability, scalability, latency, and efficiency of the team's range of services.
  • You will work with product and design teams to understand requirements, provide product feedback, and own and implement features from start to finish.
  • You will partner with Data Science to improve our ML infrastructure and feature engineering pipelines.
  • You will participate in technical discussions, code reviews, and design reviews with other engineering teams, providing constructive feedback and striving to raise the engineering bar.
  • You will write code that is reusable, scalable and testable, and collaborate with QA to ensure products are delivered on time, with high quality, and deployed stably.
  • You will participate in service capacity and demand planning, software performance analysis, tuning, and optimization.
  • You will be responsible and responsive during on-call duty, debugging and troubleshooting production issues to help us achieve operational excellence.
  • You will provide technical guidance, mentorship, and knowledge sharing to peers.

What Essential Skills You Will Need

  • You have a Bachelor in Computer Science or equivalent, with good fundamentals in algorithms and data structures.
  • You have at least 5+ years of experience in software engineering in a distributed systems environment.
  • You have experience shipping products (such as backend services) to production, with an understanding of system performance and scaling.
  • You have hands-on experience with recommendation systems and are familiar with their design and optimization, model architectures, and feature engineering, with a working knowledge of machine learning.
  • You can be a good coder in any language but are willing to work on Golang.
  • You have knowledge of cloud technologies and experience developing and deploying services on the cloud.
  • You have an investigative mindset and the ability to identify system bottlenecks, together with an enthusiasm for innovation and continuous improvement.

     

    Good-to-Have:
  • Proficiency in Golang and Python languages would be advantageous.
  • Experience optimizing large-scale ML serving infrastructure would be advantageous too.

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

Senior Software Engineer, Backend at Grab rates 24 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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.

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Pay

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