Jun 2023 – Present · 3 yrs

Apr 2021 – Aug 2023 · 2 yrs 4 mos

• Managed cost fluctuations around EC2 resources across 10 clusters
• Built monitoring to calculate application resource usage efficiency and flag services which are underutilizing allocated resources -- caught 23 over-provisioned applications
• Built dashboards to catch applications with sudden/abnormal increase in the number of running pods -- caught 6 such applications in 2 months
• Setup integration tests and conducted pair programming and introduced TDD across teams leading to almost 50% test coverage increase across multiple modules

Jan 2020 – Jun 2021 · 1 yr 5 mos

• Built a CI and CD platform (https://facets.cloud) on top of Terraform and Kubernetes to deploy the product stack consisting of infrastructure components and applications onto multiple cloud providers like AWS, Azure, Google Cloud(in the pipeline).
• This deployment automation facilitated daily or on-demand production deployments as opposed to bi-weekly releases -- 900% increase in deployment frequency.
• Implemented auto-rollback of production deployments in case of test failures. This helped in catching 18 such instances in 6 months.
• This enabled developers to deploy an entire cluster in a single click, reducing the time taken from 30 days to 1 day -- 96% reduction in cluster launch time
• Designed and implemented automated disaster recovery (DR) strategies for Aurora (MySQL), MongoDB, and Elasticsearch allowing for automated snapshot creation and on-demand restoration of database from these snapshots in case of a disaster using Kubernetes pods as workers.

Sep 2018 – Dec 2019 · 1 yr 3 mos

• Built a one-stop web-application to facilitate the migration of applications from a manually managed ECS environment to Docker and Kubernetes for better scaling and availability. This created a standard pipeline for application creation, deployment, monitoring, credential management, etc.
• This app facilitated the migration of more than 150 applications from ECS to Docker and Kubernetes across 7 Kubernetes clusters.
• As a result of this project the migration effort reduced from 6 months to 2 months for the first cut, reducing the time taken by 33% while eliminating the manual migration errors.

Jun 2016 – Sep 2018 · 2 yrs 3 mos

• Designed and implemented the campaigns product as an API while migrating existing code from PHP5 to JAVA8 with architectural improvements. This enabled creation of campaigns from real time analytics and other external services.
• Designed Validation Framework for validating user and message data across multiple downstream dependencies in parallel. This reduced the time taken for data validation by a factor of 5 on an average.
• This also gave developers a structured approach to write their validations as components, hence increasing their productivity.
• Brought in concepts of Unit Testing, code reviews, and test driven development in the team. This increased the code coverage by 65%, eliminated most of the migration related bugs, and increased the efficiency of the entire team.
• Designed and implemented Android and IOS Push Notifications as a communication channels in communication engine
• Supported a scale of 30 million messages in just 15 minutes across channels including email, sms, wechat, line, push notifications for android and ios.