Suresh Godhaniya

Engineering Manager

Hyderabad, Telangana, India13 yrs 5 mos experience

Key Highlights

Led development of scalable enterprise AI platform.
Achieved SOC-2 and ISO certifications for security.
Scaled microservices from 6 to 25, enhancing functionality.

Stackforce AI infers this person is a SaaS and Fintech expert with strong engineering management skills.

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Skills

Core Skills

Engineering ManagementPlatform EngineeringRisk Management

Other Skills

Talent DevelopmentHiringMicroservicesSecurity and ComplianceCross-team CollaborationJavaSpring FrameworkArtificial Intelligence (AI)MySQLKubernetesDockerHelm ChartsTerraformAmazon Web Services (AWS)Google Cloud Platform

About

As an engineering manager with over 13 years of experience, I lead the development and scaling of distributed systems and enterprise SaaS platforms at RapidCanvas. My work emphasizes engineering management, platform engineering, and a commitment to building robust, scalable systems with a focus on reliability, security, and customer experience. At RapidCanvas, I have contributed to transforming an early-stage prototype into a scalable enterprise-grade SaaS platform, building its architecture from scratch and leading the hiring of a high-performing engineering team. My work includes scaling microservices, implementing security and compliance programs such as SOC-2 and ISO certifications, and driving engineering workflows to enhance productivity. My mission is to foster strong engineering practices and deliver impactful solutions that meet business and customer needs.

Experience

13 yrs 5 mos

Total Experience

Average Tenure

Current Experience

Rapidcanvas

Engineering Manager

May 2022 – Present · 4 yrs 1 mo · Remote

I spearheaded the development of a scalable enterprise Agentic AI platform at RapidCanvas, achieving significant milestones in architecture and team growth.
Joined RapidCanvas as a founding engineer, transforming an early prototype into a robust enterprise SaaS platform.
Built platform architecture from scratch, achieving enterprise-grade reliability and scalability.
Led the hiring and development of a full-time engineering team, enhancing productivity across UI, backend, and DevOps.
Implemented security and compliance programs, achieving SOC-2 certification and expanding to ISO standards.
Successfully scaled microservices from 6 to 25, enhancing functionality and user management.
Reduced customer VPC setup time from one week to four hours, unlocking incremental revenue.
Drove AI adoption across engineering workflows, delivering a full end-to-end solution that directly increased ARR.

Talent DevelopmentHiringPlatform EngineeringMicroservicesSecurity and ComplianceEngineering Management

Paypal

2 roles

Senior Engineering Manager

Promoted

Apr 2020 – Apr 2022 · 2 yrs · Hyderabad, Telangana

Led multiple initiatives in PayPal Risk domain with large-scale traffic and enterprise customers.
Key impact:
Led delivery across 3 parallel risk initiatives, working with 3 Scrum teams and multiple stakeholders
Scaled systems to handle 10M+ daily requests, supporting 10 enterprise customers + 20K SMB merchants
Contributed directly to revenue growth through scalable platform delivery and high-impact risk initiatives.
Improved throughput from 20 QPS → 200 QPS through architecture and scalability improvements
Acted as decision-maker on major design and scalability initiatives
Built strong collaboration between engineering, product, and UX teams
Transitioned to PayPal Identity; grew the team from 4 → 10 engineers in 6 months, improving engagement during the remote-work shift

Talent DevelopmentHiringRisk ManagementCross-team CollaborationEngineering Management

Member Of Technical Staff

Jan 2019 – Apr 2020 · 1 yr 3 mos · Hyderabad, Telangana

Focused on acquisition integration and early revenue products in Risk domain.
Key impact:
Led technical integration of Simility post-acquisition, re-architecting systems while maintaining cross-database compatibility
Migrated Simility tooling and workflows into PayPal infrastructure
Built 2 revenue-generating products in PayPal Risk using Simility Engine
Actively hired and mentored engineers; mentees won back-to-back MVP awards
Delivered 6 microservices in 3 months, collaborating with teams on-site in the US

Simility inc.

3 roles

Staff Engineer

Promoted

Aug 2017 – Mar 2020 · 2 yrs 7 mos · Hyderabad Area, India

Designed and scaled fraud detection pipelines processing ~1M records/day
Served as SME on fraud systems for customers and internal teams
Created reusable tools/libraries and managed 2 core engineers
Modernized legacy codebases, improving system performance and reducing operational cost
Conducted database POCs and supported stack migrations

Technical Lead

Promoted

Jul 2016 – Jul 2017 · 1 yr · Hyderabad Area, India

Built real-time decisioning pipelines, reducing SLA from 2s → 200ms
Designed fail-safe processing across real-time, offline, and queued workflows
Automated Kafka scaling for customer POCs by provisioning topics and consumers dynamically
Played SRE role: monitoring + reliability + management of Cassandra (DataStax) clusters

Software Engineer

May 2015 – Jun 2016 · 1 yr 1 mo · Hyderabad Area, India

Built fraud rule engines; pioneered Spring Security and SSO integrations
Integrated Cassandra for CRUD + aggregation optimized for high insert workloads
Built resilient ingestion pipelines including rate limiting, backoff, and recovery mechanisms
Implemented mobile device signals and behavioral parameter tracking for fraud detection

Kony labs

Associate Engineer

Sep 2012 – Apr 2015 · 2 yrs 7 mos · Hyderabad Area, India

Working in Kony Platform as developer. Designing and implementing data handling techniques in Middleware of company Server on Amazon cloud service.

Indian institute of technology, roorkee

Intern

May 2011 – Jul 2011 · 2 mos · Roorkee

With growing size of transaction Data, better and optimized approaches are required to find useful information from large database which can be used for business advantage. Such method was implemented for association rules generating Data Mining algorithm for Distributed System which can find useful patterns from large transaction database.