Gayathri B S

CTO

India13 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

12 years of experience in engineering leadership.
Expert in building scalable microservices on AWS.
Proven track record of improving product deliverability.

Stackforce AI infers this person is a SaaS expert with a strong focus on scalable architecture and microservices.

Contact

gbfriends90@gmail.com LinkedIn

Skills

Core Skills

Technical Product ManagementProject ManagementEngineering ManagementSoftware DevelopmentSystems Design

Other Skills

AI-driven ProductivityAPI DevelopmentAWSAWS Identity and Access Management (AWS IAM)AWS LambdaAgile MethodologiesAlgorithmsAmazon SQSAmazon Web Services (AWS)Apache KafkaApplication ArchitectureApplication DevelopmentArchitectural DesignArchitectureBack-End Web Development

About

Impact-focused engineering leader with 12 years of experience delivering large-scale systems using distributed microservices on AWS Kubernetes. Proven expertise in building low-latency APIs with Java, Spring Boot, Kafka, redis and relational/non-relational databases. Expert in leading high-quality product development including building microservices from the ground up.

Experience

13 yrs 5 mos

Total Experience

4 yrs 1 mo

Average Tenure

1 yr 1 mo

Current Experience

Salesforce

Lead Member of Technical Staff

May 2025 – Present · 1 yr 1 mo

Freshworks

Lead Software Engineer

May 2023 – Apr 2025 · 1 yr 11 mos · Chennai, Tamil Nadu, India

➢ Led two squads responsible for Freshmarketer’s most adopted features, including email
campaigns and deliverability, ensuring high-quality and functional product areas.
➢ Implemented a campaign rate limiter, achieving a 15% improvement in email
deliverability by preventing spam and increasing customer engagement by 25%
through targeted Email Campaigns and Deliverability Solutions across multiple channels
(Email, WhatsApp, SMS).
➢ Manage a team of 6 developers, handling task assignments, guidance, and providing
technical expertise for project completion.
➢ Spearheaded the integration of AI-driven productivity improvements, designing effective
GitHub Copilot prompt templates to enhance test coverage and streamline feature
development, leading to a 5x increase in development speed and a 20% reduction in
code review rework.

Email CampaignsDeliverabilityAI-driven ProductivityGitHub CopilotTeam ManagementTechnical Product Management+1

Chargebee

5 roles

Principal Software Engineer

Promoted

Apr 2020 – Apr 2023 · 3 yrs · Chennai, Tamil Nadu, India

➢ Built a team from scratch, growing to ~20 developers.
➢ Designed and implemented an entitlement management framework for Chargebee,
unlocking new monetisation opportunities. This innovation resulted in a recurring
revenue increase of approximately $100K within six months of its release.

Entitlement ManagementMonetizationTeam BuildingTechnical Product ManagementEngineering Management

Lead Product Engineer

Promoted

Apr 2019 – Apr 2020 · 1 yr · Chennai, Tamil Nadu, India

➢ Designed and developed a CRM microservice from scratch using Java, enabling
seamless data synchronization across multiple CRM tools, including HubSpot,
Chargebee, Freshsales, and Freshdesk.
➢ This standalone solution automates ~4 hours of manual operational tasks daily,
ensuring data consistency and availability for all GTM teams. Engineered the system to
scale seamlessly, processing ~0.5 million requests/seconds and serving over 20K
users with high efficiency and reliability.

CRM MicroserviceData SynchronizationSystem ScalabilitySoftware DevelopmentSystems Design

Senior Product Engineer

Promoted

Apr 2015 – Mar 2019 · 3 yrs 11 mos · Chennai, Tamil Nadu, India

➢ Driven troubleshooting and resolution of around 50 technical issues.
➢ Interviewed and hired 5 software engineers and onboarding new joiners to the team.

Product Developer

Jun 2013 – Mar 2015 · 1 yr 9 mos · Chennai, Tamil Nadu, India

➢ Delivered core subscription management, catalogue and hosted pages using Java, JOOQ and MySQL.
➢ Successfully handled hundreds of customer support tickets for technical queries, and monitored and managed errors that occurred in the system for all the teams.