Suriyaraj – React, Python, AWS

Served as Staff Software Engineer contributing to high-impact full-stack initiatives in a large B2B SaaS product. Owned core product areas including checkout, billing, growth, and integrations, building scalable customer-facing features, evolving backend services, enhancing reliability/observability, and enabling safe shipping across multiple teams amid platform and customer-base growth.

• Owned and led delivery across full-stack areas (Checkout, Growth, Billing/Renewals, Integrations), partnering with engineering teams to ship features boosting scalability, reliability, and revenue.
• Drove full-stack efforts for bundled HR offering launch, collaborating with Product, Sales, Finance, and Operations to meet tight timelines and enable $25M+ ARR.
• Led cross-team initiative (Contractor Payments and Open Market Solution) across seven teams, aligning tech direction, resolving dependencies, and ensuring on-schedule delivery.
• Implemented LLM-driven automation and agentic workflows with n8n for internal tooling and production, including AI-assisted bot detection in checkout to enhance conversions and fraud prevention.
• Spearheaded modernizations like Python 2→3 and Ember.js→React.js migrations, cutting customer issues by 40% and boosting developer productivity via modular architecture.
• Enhanced observability/reliability with Datadog and Sentry, fixing CRM sync issues, reducing data errors by 99%, and supporting SOC 2/SOX compliance.
• Mentored engineers across teams, improving onboarding, documentation, and knowledge-sharing to accelerate ramp-up and velocity.
• Earned multiple awards for technical impact, collaboration, and execution.

Led the end-to-end monetization and customer migration of a legacy HR SaaS product to a bundled offering combining HR software with outsourced administrative services. The project involved introducing a fundamentally new pricing, checkout and billing model inside a tightly coupled monolith, while preserving existing contracts, renewals, and revenue commitments. A compressed timeline required shipping a production-safe solution without destabilizing billing, entitlements, or downstream financial systems.

• Acted as primary owner for monetization across checkout, billing, growth, and integration workflows, directing all technical decisions end-to-end.
• Designed and executed a two-phase rollout strategy (net-new launch followed by cohort-based migration) to minimize customer disruption and revenue risk.
• Led the bundled offering launch in close collaboration with Product, Sales, Finance, Legal, and Operations teams, delivering on schedule under aggressive timelines.
• Migrated 80%+ of existing customers, retaining ~$30M in ARR while honoring all contractual renewal commitments.
• Captured $25M+ in net-new ARR in the first year through margin-correct pricing and bundled offerings, without rewriting the core system.
• Coordinated changes across downstream systems (CRM, billing platforms, payments, revenue recognition) to ensure billing accuracy and revenue integrity.
• Established a cohort-based migration model that became the standard for future product sunsets.

Led a critical fraud-mitigation effort for self-serve checkout amid a sudden spike in ACH-based signups triggered by ramped-up marketing. The surge created major financial and operational risks from delayed ACH verification and downstream system propagation. Rapidly diagnosed the issue, safeguarded revenue integrity, and restored secure self-serve functionality with minimal impact on legitimate customer conversions.

• Acted as the primary engineering lead during a high-risk incident involving a sudden spike to ~5,000 self-serve checkouts per day, far exceeding historical patterns and triggering fraud and financial exposure concerns.
• Investigated traffic patterns, logs, and payment metadata across checkout, Zuora, Salesforce, and Cybersource, identifying bot-generated dummy ACH payments as the root cause.
• Made the call to temporarily disable self-serve checkout and reroute inbound traffic to the sales-assisted flow, immediately eliminating fraudulent entries while preserving legitimate sales pipeline.
• Designed and led a phased fraud-mitigation strategy, including adaptive CAPTCHA based on risk signals (IP reputation, device fingerprinting, geo anomalies, and checkout velocity) and real-time ML-based fraud scoring from the payment provider.
• Drove an incremental rollout of fraud guardrails, allowing self-serve checkout to be safely re-enabled under controlled conditions without reintroducing financial or operational risk.
• Eliminated fraudulent checkouts, prevented thousands of downstream object creations and financial discrepancies, and significantly strengthened the platform’s long-term fraud posture.

Served as Senior Software Engineer on the sales checkout, billing, and growth platform powering a large B2B SaaS product. The system enabled customers to purchase, configure, and manage HR services through an integrated self-serve checkout and subscription lifecycle. Focused on building end-to-end full-stack features, third-party integrations, and close collaboration with Product, Sales, and Growth teams to reduce onboarding friction, boost conversions, and accelerate revenue recognition.

• Spearheaded the development and launch of the v1.0 Sales Checkout Flow, integrating the Zenefits platform with Salesforce CRM & Quoting, Zuora CPQ & Billing, and DocuSign, reducing customer onboarding time by 80% and accelerating revenue recognition.
• Designed and executed growth experiments using Segment for event tracking and Pendo for in-app analytics to identify funnel friction, optimize user journeys, and improve upsell conversion rates, driving measurable gains in acquisition and feature adoption.
• Launched multiple new product SKUs and internal tools supporting checkout, billing, and subscription renewals, improving platform flexibility and accelerating go-to-market (GTM) timelines.
• Built automated dashboards and alerting using Sumo Logic and Sentry for billing and background-check workflows, reducing manual intervention and delivering $2M+ in annual operational savings.
• Developed and scaled critical integrations with third-party systems including IdentityMind, Checkr, Zywave, and JazzHR, ensuring secure, compliant, and high-performance data exchange across the HR platform.
• Mentored engineers and elevated engineering standards through structured code reviews, technical guidance, and close collaboration with hiring managers.

Served as Software Engineer building backend services for a highly available, fault-tolerant cloud block storage platform used by enterprise customers. Designed and implemented distributed microservices, coordinated state across services, and ensured reliability, scalability, and observability in large-scale, multi-zone production environments.

• Designed and developed distributed, microservices-based backend services supporting scalability, fault tolerance, and high availability across multi-zone environments.
• Implemented core platform components including Replica Management, Volume Mirroring, and Workload Migration, improving system reliability and reducing recovery time through efficient coordination and state synchronization.
• Built and maintained auditing and diagnostics services to track system health and performance, integrating real-time dashboards and alerting pipelines that reduced mean time to resolution (MTTR) by 30% and strengthened overall service observability.

Served as Software Developer on enterprise-scale backend data migration and processing systems. Built reliable, high-performance data workflows to migrate, validate, and process large volumes of production data across internal platforms, optimizing legacy systems, automating manual processes, and ensuring data correctness, scalability, and operational reliability in high-throughput environments.

• Engineered high-performance data migration workflows using Oracle PL/SQL, Python, and Shell, reprocessing 250M+ records and reducing execution time by 90% through multithreading and query optimization.
• Automated backend data processing and validation pipelines, reducing manual operational effort from 6 hours to under 10 minutes while improving accuracy, reliability, and repeatability.
• Improved scalability and resilience of enterprise data workflows, enabling safer migrations and faster turnaround for large production datasets.