Principal Software EngineerIndia
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 Trust & Safety team is the custodian of integrity at Grab. We build cutting-edge solutions designed to provide robust fraud detection service with petabyte-scale datasets. Our platform leverages the latest advancements in machine learning and artificial intelligence to help businesses minimize the risk of fraud and maintain a secure environment. We're committed to building a diverse team of passionate and talented professionals who are dedicated to shaping the future of fraud detection technology, and prevent risks like Account Takeover and Chargeback with fully automated solutions.
Get to know the Role
As a Principal Software Engineer, you'll be at the forefront of our day-to-day protection systems and the evolution of our platform. This is an opportunity to lead within a world-class team, build services from the ground up, and tackle core system performance challenges.
The Day-to-Day Activities
Design, develop, and deploy backend services with a focus on high availability, low latency, and scalability in Golang.
Work on large-scale data systems, leveraging data modeling and machine learning algorithms to continuously optimize our fraud detection strategies and enhance platform security.
Overseeing large-scale system design, analysis, and issue resolution.
Collaborate closely with data scientists and machine learning engineers to create innovative solutions for fraud detection and prevention.
Coordinate with various stakeholders to understand and specify the business.
Excellent written and verbal communication skills in English, and strong willingness to communicate and coordinate with others from different culture and language backgrounds.
A Bachelor's degree in Computer Science or equivalent.
10+ years of experience in software engineering in a distributed systems environment.
Demonstrated proficiency in at least one of the following languages: Go, C++, Java, Python, etc.
Self-motivated, fast learner, and exceptional team player.
Extensive experience on Feature Engineering and Machine Learning Platform building, with large volume of traffic.
Expertise in open source tech stack such as Database, Redis, NoSQL, Kafka, ElasticSearch, Flink, Spark, etc.
Expertise in public cloud (e.g. AWS, Azure) and familiarity with cloud native architecture.
Decent knowledge of system performance tuning and optimization.
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.
Grab is an equal opportunity employer. We owe our success to the talents of our globally-diverse team and the varying perspectives they add to our thriving community.
Grab does not accept unsolicited resumes sent by recruiting agencies. Please do not forward resumes to our job postings, Grab employees or other parts of the business. Grab will not be liable to pay any fees to agencies for candidates hired as a result of unrequested resumes.