Lakshay Badak

Co-Founder

Gurugram, Haryana, India7 yrs 5 mos experience

Key Highlights

Stackforce AI infers this person is a SaaS expert with a focus on cloud infrastructure and identity management.

Cloud InfrastructureSecurity ArchitectureIdentity ManagementService AggregationSearch ArchitectureMicroservices

TerraformAnsibleGolangOAuth 2.0Ruby on RailsPythonTeamCityBashJavaAWS DynamoDBECSNetflix HollowAWS SNSAWS SQSReactJS

7 yrs 5 mos

Total Experience

1 yr 10 mos

Average Tenure

Current Experience

Jun 2024 – Jan 2026 · 1 yr 7 mos · Singapore · Hybrid

As a Founding Engineer, I architected and built foundational infrastructure and identity systems from the ground up. I developed automated provisioning solutions across cloud (AWS/GCP) and bare-metal environments using Terraform, Ansible, and Incus containers. On the security front, I designed an in-house Identity Provider (IdP) in Golang using OAuth 2.0 and built robust RBAC authorization services leveraging Ruby on Rails, Pundit, and Python. Additionally, I optimized CI/CD pipelines utilizing TeamCity and Bash scripting, and created comprehensive administrative control planes to streamline customer onboarding.

TerraformAnsibleGolangOAuth 2.0Ruby on RailsPython+4

2 roles

Jun 2023 – Jun 2024 · 1 yr · Bengaluru, Karnataka, India · Remote

Dec 2021 – Jun 2023 · 1 yr 6 mos · Bengaluru, Karnataka, India · Remote

Dec 2019 – Dec 2021 · 2 yrs · Bengaluru, Karnataka, India · On-site

Engineered core identity management and service aggregation platforms for the Service Provider Network (SPN). I designed and launched the Cambridge User Account Service from scratch using Java, AWS DynamoDB, and ECS. To ensure exceptional low-latency performance at scale, I engineered a versatile in-memory caching core library powered by Netflix Hollow, which was robust enough to be adopted by multiple Tier-1 Amazon services. Furthermore, I drove large-scale data migration initiatives utilizing AWS SNS/SQS with Dead Letter Queues (DLQ) and developed frontend dashboards for Account Managers using ReactJS.

JavaAWS DynamoDBECSNetflix HollowAWS SNSAWS SQS+3

Jul 2018 – Nov 2019 · 1 yr 4 mos · Gurugram, Haryana, India · On-site

Collaborated with the engineering team to redesign and optimize high-traffic search platforms, successfully scaling the system to handle a throughput of 100,000 requests per minute. As part of this team, we entirely revamped the Paytm Mall search architecture by integrating an ElasticSearch algorithm, MongoDB as the persistent data store, and a Kafka data pipeline to deliver a significantly faster and more reliable user experience. Additionally, I contributed to building a microservices architecture for the Education Explore vertical, where our team developed an intelligent search ecosystem that seamlessly synchronized with MongoDB via Monstache.

ElasticSearchMongoDBKafkaSearch ArchitectureMicroservices