Total 9 job vacancies by Grabtaxi Holdings Pte. Ltd.

Get to Know the Team

When you’re an engineer at Grab, you'll help shape the heart and soul of the company. Our team's mission is to create amazing services and tools that impact hundreds of millions of consumers, driving partners, and fellow Grabbers every day.

The applications we develop are core to our business. Your contributions will touch millions of lives, and you'll be recognised when you exceed our high expectations. You'll work in an international team of experienced developers who prioritise quality and new ideas. In our agile, test-driven development environment, you'll not only build new features and platforms but also evaluate the latest in mobile technology.

We're constantly improving our food delivery and supermarket platforms, handling tens of millions of bookings daily. New code reaches hundreds of millions of users quickly. You'll enhance features for our consumer and delivery-partner facing app, focusing on Deliveries, but we'll always welcome your fresh ideas. You'll work on one of the largest codebases in Southeast Asia, making an impact.

Get to Know the Role

We are looking for individuals with experience working within distributed environments to join our big data engineering group. You will report to the Senior Engineering Manager and be based onsite in Singapore. You will automate multiple big data flows, performance engineering, and building the internal big data pipeline platform to maintain the quality of our critical data. We offer the opportunity to work with a world-class engineering team managing petabytes of data in Southeast Asia.

The Critical Tasks You Will Perform

• Design the data warehouse schema in Bigquery and also be able to write code to process data from heterogeneous sources like APIs, PubSub, Transactional Databases.
• Lead, design, develop and manage data pipelines on the data ecosystem.
• Be hands on development in designing and developing ETL/ELT processes to ingest data into the data warehouse with focus on data quality and profiling.
• Participate in collaborations in external and team members and build SLAs.
• Take ownership of not just the Data Platform but also building the right
• Practise to lead the way forward for the team.
• Collaborate across teams and translate the requirements into actual workable
• Technical solutions.
• Ensure data quality and governance and participate in code reviews with focus on high quality technical documentation.

Qualifications

What Essential Skills You Will Need

• Bachelors/Masters in mathematics, computer science or other related quantitative discipline.
• 5+ years experience in data engineering roles.
• Familiarity with Hadoop, Hive, HBase, Spark, Flink, Airflow, Kafka, and Cloud software such as
• Redshift, EMR, BigQuery, Dataflow, Cloud Composer, BigTable, PubSub etc.
• Exposure to big data solutions from various data sources such as AWS, GCP, Microsoft Azure, Alibaba Cloud.
• Familiar with CI/CD and automating the deployments from dev to staging to production
• platforms.
• Experience with Data Warehouse concepts - Fact/Dimension Tables, CDC, SCD,
• partitioning and bucketing strategies.
• Proficient in writing complex SQLs, and experience in at least anyone of Java/Python/Golang.
• Experience in Metadata management, data discovery and creating data lineages.
• High personal code/development standards (peer testing, unit testing, documentation, etc).

Get to Know the Team

As a Lead Engineer in our team, you would architect, implement, and roll out our next generation of Grab platform for merchants.

Get to Know the Role

The Business Platform tech family is an engineering team which is responsible for multiple key products for Grab Merchant Partners (e.g GrabMerchant App, GrabMerchant Portal). We are running on a micro-service architecture in backend and are also providing multiple frontend techniques (e.g. IOS, ADR, Flutter, Web) for our end users (e.g. Merchants, to-B partners) across 7 countries. We are aiming to provide a high quality, stable, and efficient platform for merchants, and extend our platform to support offline transactions for merchants.

You are expected to understand the requirements from different partners, and work with the team to design and improve the system architecture which could adapt to multiple business flows, and also serve high throughput (thousands of QPS) at millisecond latencies. You will report to the Senior Engineering Manager and be based onsite in our Singapore One North Office.

The Critical Tasks You Will Perform

• Develop APIs, interfaces, and database schemas to ensure scalability, maintainability, and performance across the Business services domain.
• Design, implement, instrument, and deploy available services with tight Service level agreements, and champion for operational excellence across projects.
• Collaborate with partners across teams and roles, to resolve ambiguous, multi dimensional business, legal, and product needs to ensure Business Platform architectures are not just performant and usable, but also compliant.
• Lead architecture reviews, code reviews, design reviews, postmortems, and improve for engineering best practices across teams and tech families.
• Identify process gaps and establish engineering processes — project management, collaboration, code quality.
• Mentor and be a role model for junior engineers.
• Participate in interview loops to help Grab continue hiring top industry talent.

Qualifications

What Essential Skills You Will Need

• 7+ years of relevant experience.
• Prior experience designing, implementing and maintaining critical backend services with tight SLAs, at scale.
• Proficient in at least one programming language for backend services Go, Java or C++.
• Knowledge in distributed systems design and internals.
• Prior experience with any / all of Kafka, ElasticSearch, Redis, MySql, Aurora, and managed cloud services (specifically, AWS and Azure).
• Experience approaching a problem from different angles, analyzing pros and cons of different solutions.
• Strong written and verbal communication skills in English.

Get to Know the Team:

The ML Platform team at Grab empowers teams across the company to harness the power of machine learning. We're building cutting-edge tools and infrastructure that democratize AI, driving innovation throughout Grab's services.

Get to Know the Role:

As our Senior Machine Learning Engineering Manager, you'll lead the evolution of Grab's ML Platform. This is a high-impact role where you'll shape the way machine learning drives value across our organization.

The Day-to-Day Activities:

• Lead and Inspire: Build and mentor a high-performing team of platform and machine learning engineers, creating a collaborative and innovative environment.
• Architect the Future: Define the strategic vision for Grab's ML Platform, aligning it with our core business objectives for maximum impact.
• Build for Efficiency: Design and implement tools that streamline the entire ML workflow, enabling rapid development and deployment of impactful ML solutions.
• Champion Scalability: Collaborate with stakeholders to ensure our ML Platform scales seamlessly, empowering data scientists and engineers company-wide.
• Drive Technical Excellence: Foster a culture of quality through code reviews, design discussions, and best-practice implementation.
• Attract and Develop: Actively contribute to our talent acquisition strategy and shape initiatives that support the growth of our team.

Qualifications

The Must-Haves:

• Proven Experience: 6+ years of relevant experience in machine learning engineering or similar roles, including at least 2 years of demonstrated success in a management position.
• Technical Mastery: Deep expertise in building and deploying ML platforms, including a strong command of programming languages (Python, R, or Java), cloud platforms (AWS, Azure), and containerization (Kubernetes).
• MLOps: In-depth knowledge of MLOps principles, enabling the productionalization of ML models (training, validation, deployment, monitoring).
• Strategic Visionary: Ability to translate business needs into a technical roadmap, ensuring our ML Platform consistently creates value.
• Exceptional Leader: Possess communication and mentorship skills that inspire teams and attract top talent.

Get to know the team

Join the Consumer Experience Loyalty team at Grab - a dynamic, fast-paced team shaping the future of Grab Unlimited, our flagship membership program, across Southeast Asia. We are a cross-functional team of engineers, designers, and product managers who innovate and collaborate to enhance user engagement, transactions, retention and delight.

Our mission? To create the best membership program in the region, furnishing high-value benefits to our customers, and driving economic empowerment across south-east Asia for all our customers and our merchant partners. We're not just another ride-hailing or food delivery platform. As part of Grab, the leading super app, we're uniquely positioned to provide unparalleled services and experiences to our users.

Make an impact. Join us on our mission.

Get to know the role

We are looking for an Android Engineer to take part of the Team. You will be responsible for ensuring high quality deliverables, spanning across multiple key services powering end to end user journeys across all the different products of our superapp. These services are one of the top entry points for Grab services, with millions of visitors every day across 8 countries in total. We're seeking candidates who embody accountability, display a relentless hunger for learning and improvement, thrive in autonomy, and possess the drive to consistently go above and beyond expectations.

The Day-to-Day Activities

• Design and write high quality and well tested code in RxJava, Kotlin.
• Collaborate with mobile and backend engineers, designers, data scientists and product managers to architect and implement features
• Actively participate in code and design reviews to maintain our high development standards
• Brainstorm innovative ideas, identify problems, propose and implement solutions geared towards scale and performance
• Take initiative to improve the codebase proactively. Propose and set better engineering solutions for the team.
• Be part of on-call rotation and support the Grab application, debug and troubleshoot production issues.

The Must-Haves

• 2+ years of professional Android development experience
• Solid computer science fundamentals in algorithms and data structures
• Experience in the delivery of an end-to-end feature
• Experience in mobile applications and global understanding of systems internals and tools like crash analytics, performance tools, debugging and continuous integration.
• Possess excellent communication, sharp analytical abilities with proven design skills, able to think critically of the current system in terms of maintainability and stability
• Clear understanding about the CI/CD implementation
• Highly accountable and takes ownership of one’s own work.
• Eager to learn, take more responsibility and create impact for millions of users.

Life at Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

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—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Get to know the Team:

Grab has been growing rapidly and expanding into multiple lines of businesses over the past few years. Grab Data Warehouse team is responsible for developing business intelligence systems using data from all lines of businesses in order to provide business insights to key stakeholders across the company.

Get to know the role:

Our team is now looking for experienced data engineers to design and enhance our data warehouse systems. The Data Engineer plays a key role within the data warehouse team in developing the data warehouse systems, working closely with stakeholders from multiple lines of business (LOBs).

Day to day responsibilities for Data Engineer includes but is not limited to:

• Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs
• Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications
• Design and implement scripts, ETL jobs, data models, etc.
  Provide horizontal, organization-wide visibility through metric measurements and insights regionally across different functions and teams
• Develop and uphold best practices with respect to change management, documentation and data protocols
• Identify system and application metrics, develop dashboards and setup alerts for metrics and thresholds
• Participate in technical and product discussions, code reviews, and on-call support activities

The Must-haves

• Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field
• At least 3-4 years of experience developing Data warehouse and Business Intelligence solutions
• Sound knowledge of data warehousing concepts , data modeling/architecture and SQL
• Ability to work in a fast-paced agile development environment
• Knowledge of programming languages such as Java, Scala, Python, etc.
• Understanding of performance, scalability and reliability concepts
• Experience with Big Data frameworks such as Hadoop, Spark, etc.
• Experience with developing data solutions on AWS
• Ability to drive initiatives and work independently, while being a team player who can liaison with various stakeholders across the organization
• Excellent written and verbal communication skills in English

The Nice-to-haves

• Experience with performance tuning & query optimization of data warehouse systems
• Experience with Graph DB
• Experience with Stream processing technologies such as Kafka, Spark streams, etc.

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
GrabAds allows Advertisers, Agencies, and Merchants to engage the Grab Audience via innovative online and offline advertising experiences. Through our unique ecosystem and transacting user base, our clients are able to reach their desired audiences at scale, while driving measurable business outcomes. We would want to invite talented and passionate engineers to join our journey, to create value for our consumers, drivers, merchants, and advertising partners, while continuing to make everyday lives better across Southeast Asia.

Get to know the Role
You will develop machine learning models and strategies to predict the most relevant items in the user journey. You will drive real-world impact through innovative data-driven technology. You will drive the development and iteration of the algorithm and ensure that improvements roll out successfully.

The Day-to-Day Activities

• Conceptualise and develop machine learning models to understand, classify and predict user behaviors in different scenarios. Deploy, test and maintain them.
• Design and conduct both offline and online experiments to validate hypotheses.
• Design and implement algorithms to derive deep insights and identify trends, patterns and relationships from high-volume high-dimensional data.
• You are required to participate in code and design reviews with peers to maintain our high-standard engineering practice.
• You will participate in on-call rotations with engineers. Troubleshoot, mitigate, and resolve issues.

The Must-Haves

• You have Heart, Hunger, Honour and Humility.
• Master's Degree or above in Computer Science, Electrical Engineering, Software Engineering, Automation, Data Science, or other Computer Science related majors.
• You have a minimum of 2 years of relevant experience in developing Machine Learning models for systems including Ads/RecSys/Search.
• Be familiar with model optimization methods and tricks, and be familiar with deep learning frameworks (TensorFlow/ps-lite/PyTorch)
• Familiar with one or more of the following programming languages: Python/Golang/Java/C++
• Be familiar with the Hadoop ecosystem, and be familiar with modern data processing stacks (e.g. Hive, Presto, Spark, Kafka, HBase, Flink etc.)
• Strong understanding of statistics, data analysis, and data visualization techniques.
• Excellent communication and collaboration skills with a team-oriented mindset, with the ability to work effectively with cross-functional teams.

The Nice-to-Haves

• Be proactive and always be ready to tackle challenging tasks.
  Collaborating with multiple teams to facilitate rapid growth and development.
• Be familiar with user behavior modeling, feature crossing technique, bid optimization strategy including oCPC, and keyword recommendation.
• Proven track record/ accolades in data/ AI-related competitions (e.g. KDD Cup/Kaggle) or programming competitions (e.g. ICPC).
• Proficient in one or more of the following programming languages: Golang/Java/C++/Scala
• Experience in machine learning with cloud platforms (e.g. AWS)
  

Our Commitment
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.

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 our Team

The Communications is responsible for building the systems and rails that connect our business units to our end users. With end to end visibility and attribution of engagement on our platform this team is uniquely positioned to provide real time insights into the best communication techniques to drive short term business impact and long term retention of our users to the platform.

Our team is made up of multiple teams across product, engineering, design, data science, analytics, and business. We are looking for experienced individuals who are user-centric and data-driven, able to think holistically and creatively, communicate well, and are great team players. We like creative hustlers, people who can think outside the box, influence, and get stuff done even if it seems impossible. We work fast, push the boundaries, and try new things. Sometimes they don’t work, so we embrace learning from failures and a culture of lifelong learning.

Get to know the Role

You use technology to solve well-defined problems, building individual components or features based on well-defined tasks. You understand the requirements of your projects and use that understanding in your designs. You understand your codebase and systems, ensuring reliability through design reviews, monitoring, alerting, and applying OE (Operational Excellence) standards.

You take ownership of your code and ensure it’s readable, maintainable, and well-tested. You understand and apply the appropriate data structures and algorithms. You give clear, actionable feedback during code reviews and respond well to feedback from others.

You respond promptly to issues and keep the working team constantly updated. Your tasks are delivered on time and with high quality, and you’re able to explain your solutions to other technical stakeholders through both verbal and written communication.

As a senior software engineer, you are also expected to guide and communicate with others about learnings accumulated over the course of your experience as well. This also includes applying yourself and ensuring that you leave the place better than you found it. You will also shape the efficiency and productivity of your projects, to guarantee timely delivery and releases.

The Must-Haves

• 4+ years of professional software development experience including at least 2 years of iOS development experience
• Proficiency in programming paradigms like OOP, TDD, reactive programming, and dependency injection.
• Understanding and experience with architectural approaches including MVVM or VIPER.
• Proven experience owning an end-to-end feature.
• Experience writing maintainable and testable code that includes excellent API design, unit testing, and UI testing techniques.
• Understanding and working with large-scale applications and systems internals along with tools like crashlytics, remote debugging, and continuous integration.
• Accountability with strong ownership of personal work and performance.
• Eagerness to learn, take more responsibility, and make a significant impact on millions of users.
• Hands-on familiarity with maintaining a large scale mobile application.
• Excellent communication skills with a proactive mindset, be involved in decision-making processes and choosing appropriate ones
• Able to critically analyze the current system in terms of growth and stability.

The Nice-to-Haves

• Proficiency in integrating VoIP and PSTN into mobile applications, including knowledge of WebRTC, and handling network-related challenges.
• Demonstrated experience with real-time messaging systems, ensuring fast and reliable message delivery in a mobile environment.
• Skills in designing and scaling real-time communication features for high user loads, focusing on communication quality and reliability.

Life at Grab

Grab is Southeast Asia’s leading superapp. We are dedicated to improving the lives of millions of users across the region by providing them everyday services such as deliveries, mobility, financial services, enterprise services and others. More than that, we provide the opportunity for them to have a better life. And that aspiration starts inside Grab because we believe in a seamless blend of work and home life, making every aspect of life better for all.

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—we work to create economic empowerment for the people of Southeast Asia. With our unwavering commitment to our values, we believe that we're more than a service provider; we're agents of positive change.

Get to know the Team:

Grab has been growing rapidly and expanding into multiple lines of businesses over the past few years. Grab Data Warehouse team is responsible for developing business intelligence systems using data from all lines of businesses in order to provide business insights to key stakeholders across the company.

Get to know the role:

Our team is now looking for experienced data engineers to design and enhance our data warehouse systems. The Data Engineer plays a key role within the data warehouse team in developing the data warehouse systems, working closely with stakeholders from multiple lines of business (LOBs).

Day to day responsibilities for Data Engineer includes but is not limited to:

• Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs
• Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications
• Design and implement scripts, ETL jobs, data models, etc.
  Provide horizontal, organization-wide visibility through metric measurements and insights regionally across different functions and teams
• Develop and uphold best practices with respect to change management, documentation and data protocols
• Identify system and application metrics, develop dashboards and setup alerts for metrics and thresholds
• Participate in technical and product discussions, code reviews, and on-call support activities

The Must-haves

• Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field
• At least 3-4 years of experience developing Data warehouse and Business Intelligence solutions
• Sound knowledge of data warehousing concepts , data modeling/architecture and SQL
• Ability to work in a fast-paced agile development environment
• Knowledge of programming languages such as Java, Scala, Python, etc.
• Understanding of performance, scalability and reliability concepts
• Experience with Big Data frameworks such as Hadoop, Spark, etc.
• Experience with developing data solutions on AWS
• Ability to drive initiatives and work independently, while being a team player who can liaison with various stakeholders across the organization
• Excellent written and verbal communication skills in English

The Nice-to-haves

• Experience with performance tuning & query optimization of data warehouse systems
• Experience with Graph DB
• Experience with Stream processing technologies such as Kafka, Spark streams, etc.

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
GrabAds allows Advertisers, Agencies, and Merchants to engage the Grab Audience via innovative online and offline advertising experiences. Through our unique ecosystem and transacting user base, our clients are able to reach their desired audiences at scale, while driving measurable business outcomes. We would want to invite talented and passionate engineers to join our journey, to create value for our consumers, drivers, merchants, and advertising partners, while continuing to make everyday lives better across Southeast Asia.

Get to know the Role
You will develop machine learning models and strategies to predict the most relevant items in the user journey. You will drive real-world impact through innovative data-driven technology. You will drive the development and iteration of the algorithm and ensure that improvements roll out successfully.

The Day-to-Day Activities

• Conceptualise and develop machine learning models to understand, classify and predict user behaviors in different scenarios. Deploy, test and maintain them.
• Design and conduct both offline and online experiments to validate hypotheses.
• Design and implement algorithms to derive deep insights and identify trends, patterns and relationships from high-volume high-dimensional data.
• You are required to participate in code and design reviews with peers to maintain our high-standard engineering practice.
• You will participate in on-call rotations with engineers. Troubleshoot, mitigate, and resolve issues.

The Must-Haves

• You have Heart, Hunger, Honour and Humility.
• Master's Degree or above in Computer Science, Electrical Engineering, Software Engineering, Automation, Data Science, or other Computer Science related majors.
• You have a minimum of 2 years of relevant experience in developing Machine Learning models for systems including Ads/RecSys/Search.
• Be familiar with model optimization methods and tricks, and be familiar with deep learning frameworks (TensorFlow/ps-lite/PyTorch)
• Familiar with one or more of the following programming languages: Python/Golang/Java/C++
• Be familiar with the Hadoop ecosystem, and be familiar with modern data processing stacks (e.g. Hive, Presto, Spark, Kafka, HBase, Flink etc.)
• Strong understanding of statistics, data analysis, and data visualization techniques.
• Excellent communication and collaboration skills with a team-oriented mindset, with the ability to work effectively with cross-functional teams.

The Nice-to-Haves

• Be proactive and always be ready to tackle challenging tasks.
  Collaborating with multiple teams to facilitate rapid growth and development.
• Be familiar with user behavior modeling, feature crossing technique, bid optimization strategy including oCPC, and keyword recommendation.
• Proven track record/ accolades in data/ AI-related competitions (e.g. KDD Cup/Kaggle) or programming competitions (e.g. ICPC).
• Proficient in one or more of the following programming languages: Golang/Java/C++/Scala
• Experience in machine learning with cloud platforms (e.g. AWS)
  

Our Commitment
We are committed to building diverse teams and creating an inclusive workplace that enables all Grabbers to perform at their best, regardless of nationality, ethnicity, religion, age, gender identity or sexual orientation and other attributes that make each Grabber unique.