About

Govind R. is a Senior Backend Engineer at Affirm with over 6 years of relevant experience in designing and building modern, scalable applications and restful APIs on Node.js, Amazon Web Services, and Google Cloud. He has extensive experience working with both SQL and NoSQL databases and has experience dockerizing applications. Govind's programming expertise includes JavaScript (ES5, ES6, ES7, ES8) as his primary language and Python as a secondary language. He is well-versed in AWS technologies such as Lambda, SNS, SQS, S3, Kinesis, API Gateway, CloudFront, VPC, DynamoDB, IAM, and CloudWatch. He also has experience working with Google Cloud technologies such as App Engine, Functions, Scheduler, Logging, CloudSQL, MemoryStore (Redis), BigQuery, IAM, PubSub, and Firebase. Govind has worked with various database technologies such as MongoDB, DynamoDB, Mongoose, Redis, Postgres, MySQL, SQL Server, and SQLite. He is proficient in using Express.js and Docker as well. In his previous role as a Senior Backend Engineer at Beautiful.ai, Govind was responsible for handling all scaling issues, backend investigations, DNS, CI/CD pipeline, and most of their db related work. He transformed a dual-environment workflow into a multi-environment workflow and introduced additional on-demand developer environments. He also monitored backend infrastructure and ensured uptime, reliability, and scalability of their services for their rapidly growing user base. Govind has a Bachelor of Science degree in Business Information Management from the University of California and a Full Stack Software Engineer certification from Dev Bootcamp. He also has a GED with Golden State Seal Merit from Dublin High School. Govind's tech stack includes Backend, AWS, Javascript, SQL, NodeJS, Redis, infra, Python, Docker, Postgres, Web, MySQL, NoSQL, MongoDB, Microservices, CI/CD, test, DevOps, GCP, Software Engineer, Elastic Search, iOS, Search, and Mobile. He enjoys creating scalable solutions to complex problems and continuously discovering, evaluating, and implementing new technologies to maximize development efficiency.