Senior Software Engineer, Backend - Fulfillment

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Life at Grab

At Grab, every Grabber is guided by The Grab Way, which spells out our mission, how we believe we can achieve it, and our operating principles - the 4Hs: Heart, Hunger, Honour and Humility. These principles guide and help us make decisions as we work to create economic empowerment for the people of Southeast Asia.

Get to Know the Team

The Fulfilment tech family is one of the most important pillars enabling Grab to out-serve our customers and partners in different businesses and marketplaces across Southeast Asia. We are working on high throughput, real-time distributed systems that use sophisticated machine learning techniques to solve hundreds of millions of daily requests. Our mission is to offer the best-in-class products and experiences to our driver partners as to increase adoption and engagement of our services. Improve driver partner opportunities and efficiency in order to fulfill customer orders without fail, rain or shine. And to create efficient marketplaces by determining an optimal price that is sustainable and loved by our partners and customers. Currently, our team members are in Indonesia, Malaysia, and Singapore.

Get to Know the Role

We are seeking talented & passionate Engineers to join our team. You will have opportunities to lead a small team of engineers to work on multiple backend service clusters as well as participate in building machine learning pipelines. It is very important that our team members take the initiatives to identify problems and have the right mindset and skill sets to solve them.

The Day-to-Day Activities:

• Design and write with the cutting-edge GO language to improve the availability, scalability, latency, and efficiency of Grab's range of services
• Collaborate with product and experience teams to finalize feature specifications, build prototypes, and design experiments.
• Join on-call rotations to debug production issues and improve system stability.
• Work closely with the mobile team to build reusable modularized mobile components utilizing scalable APIs
• Work closely with the infrastructure team in building and scaling back-end services as well as performing root cause analysis investigations
• Participate in code and design reviews to maintain our high development standards
• Lead project development as engineering owner of a group of 3~5 engineers, working closely with product managers to understand the requirements, propose solutions and coordinate dependencies
• Engage in service capacity and demand planning, software performance analysis, tuning, and optimization
• Work with different engineering teams to explore and create new designs/architectures geared toward scale and performance

The Must-Haves:

• A degree in Computer Science, Software Engineering, Information Technology or related fields
• Experience with geospatial-based algorithms and APIs like OpenStreet Maps or Google Maps
• Experience with high-speed distributed computing frameworks like Apache Flink.
• You can be a good coder in any language (C++, C, Java, Scala, Rust, Haskell, OCaml, Erlang, Python, Ruby, PHP, Node.JS, C#, etc.), but willing to work on Golang and Scala (Flink)
• Hands-on familiarity with running large-scale distributed web or API services; understanding of systems internals and networking is a plus
• Hands-on familiarity with CI/CD pipelines for system development and deployment
• Strong computer science fundamentals in algorithms and data structures
• Fluent in spoken and written English
• Able to think critically of the current system in terms of growth and stability
• Strong understanding of testing frameworks for unit testing, integration testing, and E2E testing
• Good communication skills, and a proactive mindset
• Strong understanding of system performance and ability to do profiling to find system bottlenecks
• Working experience on backend development for 4~7 years
• Hands-on familiarity with databases and at least one data query language like MySQL or Presto
• Experience with building machine learning pipelines, optimizing model performance
• Strong understanding and experience on cloud platforms like AWS, GCP, Azure

The Nice-to-Haves

• Experience in writing real-time input signals for a Machine learning Model is a big plus.
• Experience with Kubernetes, and Dockers is a plus.

Our Commitment

We recognize that with these individual attributes come different workplace challenges, and we will work with Grabbers to address them in our journey towards creating inclusion at Grab for all Grabbers.