Ayush kumar

Software Engineer

Bengaluru, Karnataka, India4 yrs 3 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable backend systems.
Proficient in event-driven architectures.
Experience managing high-volume lending workflows.

Stackforce AI infers this person is a Backend Software Engineer specializing in Fintech solutions with a focus on scalability and reliability.

Contact

ayush.kumar@grabtaxi.com LinkedIn

Skills

Core Skills

GoKafkaAws

Other Skills

HTMLJavaScriptKubernetesMicroservicesMySQLPHPPythonRedisSQL

About

Backend Software Engineer working on large-scale lending systems at Grab. I specialize in building and operating production-grade backend systems with a strong focus on scalability, reliability, and data correctness in fintech platforms. Core skills: • Go, Python, Kafka, Redis, SQL • AWS, Kubernetes, distributed systems • Event-driven architectures and low-latency APIs What I work on: • Credit risk systems: managing user risk profiles and executing multiple risk checks before loan disbursal • Loan management systems: loan creation, restructuring, repayments, and loan closure flows • Kafka-based pipelines for real-time and batch processing across lending workflows • Refactoring complex business logic into extensible, configuration-driven designs for safer rollouts Interested in Backend / Platform Engineer roles at product-focused companies where ownership, system design, and scale matter.

Experience

Grab

Software Engineer

Aug 2022 – Present · 3 yrs 7 mos · Bengaluru, Karnataka, India · On-site

Backend engineer in the Lending domain, working on credit risk and loan management systems using Go (primary) and Python
Designed and maintained backend services handling ~1M requests/day for lending and collections workflows
Built event-driven systems using Kafka, processing up to ~20M events/day for credit checks and loan lifecycle flows
Owned 6 backend services end-to-end, from system design and development to deployment and production support
Developed batch and streaming jobs for risk evaluation, loan creation, restructuring, repayments, and closure
Improved reliability and extensibility by refactoring complex business logic into configuration-driven workflows on AWS

GoPythonKafkaAWSKubernetesRedis+1