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Grab

Senior Software Engineer, Backend

Grab is hiring a Senior Software Engineer, Backend in Singapore, Singapore. Level rates it ; you can apply on Grab.

Level's read on this job

  • On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
  • Level classes it as a senior role.
  • Grab has 436 other open roles on Level.

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 our Team

Join the FundsCore Recon Platform team at Grab - a dynamic team building a reliable platform to address challenging problems in the Payments domain. We are a team of engineers, designers, product managers, and operations who innovate and collaborate to solve one of the most challenging problems - enabling accurate reconciliation with many financial partners. This role prefers you have certain Payments domain expertise or demonstrate quick-learning skills.

Get to Know the Role

You will be responsible for designing, building and maintaining one of our Payments Core (FundsCore) platforms which includes complex backend systems and data pipelines to meet both functional and non-functional requirements.

You will contribute to our Operational Excellence and mentoring juniors in the team. You will report to an Engineering Manager II and work onsite at Grab One-North office in Singapore.

The Critical Tasks You Will Perform

  • Design, develop, and maintain high-quality, scalable software applications that meet business and non-functional requirements
  • Write clean, efficient, testable, and maintainable code to solve challenging problems in the Fintech domain
  • Collaborate with cross-functional teams to define, design, and deliver new features
  • Participate in code reviews to maintain code quality, ensure proper technical documentation, and facilitate knowledge sharing
  • Troubleshoot and debug complex issues, providing fixes and implementing long-term sustainable solutions
  • Contribute to architectural decisions and the technical direction of projects
  • Ensure system reliability and availability through observability practices and drive continuous improvements in Operational Excellence; participate in On-Call rotations is mandatory
  • Provide DevOps support to the team to ensure system health and performance
  • Mentor junior engineers and interns, encouraging a culture of learning and improvement
  • Stay current with latest industry trends and technologies; leverage Generative AI tools to enhance productivity and improve system capabilities

What Essential Skills You Will Need

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • Strong Computer Science fundamentals in algorithms and data structures
  • Address not only happy path scenarios but also handle edge cases and unhappy paths effectively
  • 4+ years of relevant software development experience with proficiency in one or more major programming languages such as Golang (preferred), Java, or demonstrated ability to quickly acquire necessary technical skills
  • Experience with clean architecture principles, data-driven application design, and large-scale data processing
  • Proven experience building large-scale distributed systems utilizing DBMS, caching solutions, NoSQL databases, and application servers (RESTful and gRPC) while ensuring data consistency
  • Hands-on experience with microservices architecture, cloud platforms (e.g., Amazon Web Services), and DevOps practices
  • Operational and compliance excellence – ability to implement solutions that meet requirements for Observability, SLAs, Security, Data Governance, and Regulatory compliance
  • Write efficient, extensible, and thoroughly tested code for complex projects, selecting appropriate abstractions that follow SOLID principles
  • Write effective design documents and maintain up-to-date documentation (e.g., runbooks)
  • Demonstrated experience with learning new technologies and business domains, with experience applying Generative AI to enhance work productivity;
  • Experience in the Payments domain (e.g., settlement and reconciliation)

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 enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer, we consider all candidates fairly and equally regardless of nationality, ethnicity, religion, age, gender identity, sexual orientation, 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 27 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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