Senior Software Engineer, Backend

Borr Drilling; Singapore; On-site; SGD 72,000 - 120,000; Full time

Job summary

Join a leading company in the financial sector as a Senior Software Engineer, where you'll be responsible for building scalable payment services and optimizing system performance. This role offers opportunities to innovate with cutting-edge technology and work within a dynamic environment. Ideal candidates are experienced in distributed systems, with strong computer science fundamentals and a passion for problem-solving.

Qualifications

• 5+ years of experience in software engineering within distributed systems.
• Familiarity with large-scale web services and systems internals.
• Strong grasp of algorithms and data structures.

Responsibilities

• Build and maintain scalable payment services using Go.
• Design robust system architectures for high availability.
• Analyze and fix complex production issues in distributed systems.

Skills

Algorithms

Data Structures

System Performance

Optimization

Scalability Principles

Education

Bachelor's degree in Computer Science

Bachelor's degree in Software Engineering

Bachelor's degree in Information Technology

Job description

Job Description

Get to Know the Team

More than 6 in 10 Southeast Asians are unbanked or underbanked today. GrabFin aims to change that by empowering everyone with simple, transparent, and flexible financial products. Some of our products & services include eWallet, lending, insurance, payments backbone & infrastructure, risk & compliance, rewards points & loyalty program.

Get to Know the Role

As the Senior Software Engineer, you will have opportunities to work on multiple backend micro-service clusters. It is very important that our team members to identify problems, and have the right mindset and skill sets to solve them.

You will report to the Engineering Manager.

This position will be onsite at Grab office.

The Critical Tasks You Will Perform

The day-to-day activities:

• Build and maintain scalable, efficient, and low-latency payment services using Go
• Design and implement robust system architectures for high availability and performance
• Use AI tools like Cursor to enhance code quality, increase automation, and improve testing coverage and developer efficience
• Partner with engineering, infrastructure, product, and experience teams to define, prototype, and deliver scalable features
• Participate in code and design reviews to uphold engineering best practices
• Conduct service capacity planning, software performance tuning, and system optimization
• Analyze, debug, and fix complex production issues in large-scale distributed systems
• Continuously learn and apply full-stack performance tuning techniques

Qualifications

What Essential Skills You Will Need

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field
• 5+ years of experience in software engineering within distributed systems environments
• Strong computer science fundamentals, particularly in algorithms and data structures
• Familiar with running large-scale web services; understanding of systems internals and networking
• Solid grasp of system performance, optimization, and scalability principles
• Proficient in at least one programming languages but experienced with Golang is a plus
• Proven design skills with the ability to evaluate and improve system stability and scalability