Gurneet Singh Bhamra

Backend Engineer

Abu Dhabi, United Arab Emirates6 yrs 7 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Expert in building secure, scalable financial systems.
  • Proven track record in real-time payments and wallet integrations.
  • Skilled in developing event-driven, fault-tolerant systems.
Stackforce AI infers this person is a Fintech Backend Engineer with expertise in scalable payment systems and microservices architecture.

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Skills

Core Skills

Backend DevelopmentMicroservicesData ArchitecturePayment SystemsSecurity ComplianceConversational AiSystem Scalability

Other Skills

AWSAWS EC2AWS LambdaAgile MethodologiesAlgorithmsAmazon Simple Notification Service (SNS)Amazon Web Services (AWS)Application Programming Interfaces (API)Artificial Intelligence (AI)BERTChatbotsCloud InfrastructureCloud-Native ArchitectureCommunicationComputer Science

About

Fintech-focused Backend Engineer with over 6 years of experience designing and developing secure, scalable, and high-performance financial systems using NestJS, Node.js, GoLang, and AWS. Proven expertise in real-time payments, wallet integrations, and microservice architectures aligned with PCI-DSS compliance, AML regulations, and KYC verification standards. Skilled in building event-driven, fault-tolerant systems leveraging Kafka, Redis, and message queues for high-volume transaction processing, ensuring data integrity, regulatory compliance, and operational reliability at scale.

Experience

Comera

Back End Developer

Mar 2025Present · 1 yr · Abu Dhabi Emirate, United Arab Emirates · On-site

  • Backend Developer at Comera Pay, building scalable financial products that process high-volume transactions. I design and optimize microservices using Node.js, NestJS, and gRPC, and develop event-driven systems powered by Kafka and RabbitMQ. Skilled in AWS cloud services and SQL RDS, I deliver secure, resilient, and high-performance backend solutions for fintech at scale.
Node.jsNestJSgRPCKafkaRabbitMQAWS+3

Bankiq

Senior Software Engineer

Apr 2024Mar 2025 · 11 mos · Remote

  • Developed a Node.js Reporting Engine based on CQRS Architecture, achieving a 30% reduction in data retrieval times for enhanced efficiency.
  • Engineered Node.js microservices on Kubernetes, enabling auto-scaling that efficiently managed traffic surges during peak hours.
  • Engineered a high-performance Node.js microservice for PostgreSQL, incorporating partitioning/vacuuming techniques, enhancing efficiency by 20%.
  • Designed a Change Data Capture (CDC) pipeline and microservice architecture in Node.js with KAFKA, leveraging key architectural patterns such as Transactional Outbox and Event Sourcing to capture and process real-time event streams at scale."
  • Streamlined AWS EC2 microservices deployment with Kubernetes, achieving 99.9% uptime.
Node.jsKubernetesPostgreSQLAWS EC2KafkaMicroservices+1

Aquapay payment technologies

Software Developer

Mar 2022Mar 2024 · 2 yrs · Mumbai, Maharashtra, India · On-site

  • Led the design and oversaw the development of the Mastercard Virtual Card platform, ensuring its successful implementation and alignment with industry standards.
  • Redesigned tax module in Node.JS, resulting in robust interfacing with multiple payment gateways, significantly broadening payment options.
  • Engineered a Node.js-based card tokenization system, boosting security and compliance across all payment modules.
  • Developed a Golang-based reverse proxy to distribute traffic among microservices, enhancing system reliability by 25%.
Node.jsGolangMastercard Virtual CardPayment GatewaysPayment SystemsSecurity Compliance

Slashrtc

Software Engineer

Jul 2019Feb 2022 · 2 yrs 7 mos · Mumbai, Maharashtra, India · On-site

  • Supervised and led a team of 4 developers in the development of a multi-tenant, omnichannel contact centre solution.
  • Implemented BERT for intent classification in Conversational Bots, improving response accuracy by 40%.
  • Implemented real-time audio-to-text conversion in Node.js, enhancing media server efficiency by 25% and reducing latency by 15%.
  • Implemented RabbitMQ and Logstash to manage CDR data from multiple services, enhancing efficiency and enabling the processing of 10K+ records per minute.
  • Engineered scalable REST microservices using Node.js, improving real-time IPC and system scalability by 20% through advanced clustering and gRPC.
  • Gained knowledge of working with application gateways/web servers like NGINX and Apache
  • Implemented AWS S3 and RDS for secure data storage, reducing retrieval times by 40% and Developed serverless applications with AWS Lambda, increasing process efficiency by 25%
Node.jsBERTRabbitMQAWS LambdaREST microservicesConversational AI+1

Education

Bharati Vidyapeeth

Master of Computer Applications — full stack web development

Jan 2016Jan 2019

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