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Software Development Engineer with 7+ years of experience building scalable, highly available distributed systems and cloud-native applications. Strong expertise in Java, Spring Boot, AWS, microservices, event-driven architecture, serverless systems, and system design across global environments. Proven track record of improving reliability, reducing incident response/MTTR, automating deployments and infrastructure, and delivering measurable performance and cost improvements. Experienced in building high-throughput services, operating production systems with strong observability, and integrating advanced tooling including AI-assisted incident investigation.…Software Development Engineer with 7+ years of experience building scalable, highly available distributed systems and cloud-native applications. Strong expertise in Java, Spring Boot, AWS, microservices, event-driven architecture, serverless systems, and system design across global environments. Proven track record of improving reliability, reducing incident response/MTTR, automating deployments and infrastructure, and delivering measurable performance and cost improvements. Experienced in building high-throughput services, operating production systems with strong observability, and integrating advanced tooling including AI-assisted incident investigation.

Rishi Goswamy

Software Engineer, Web Developer, Back-End Developer, +2

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Software Development Engineer with 7+ years of experience building scalable, highly available distributed systems and cloud-native applications. Strong expertise in Java, Spring Boot, AWS, microservices, event-driven architecture, serverless systems, and system design across global environments. Proven track record of improving reliability, reducing incident response/MTTR, automating deployments and infrastructure, and delivering measurable performance and cost improvements. Experienced in building high-throughput services, operating production systems with strong observability, and integrating advanced tooling including AI-assisted incident investigation.…Software Development Engineer with 7+ years of experience building scalable, highly available distributed systems and cloud-native applications. Strong expertise in Java, Spring Boot, AWS, microservices, event-driven architecture, serverless systems, and system design across global environments. Proven track record of improving reliability, reducing incident response/MTTR, automating deployments and infrastructure, and delivering measurable performance and cost improvements. Experienced in building high-throughput services, operating production systems with strong observability, and integrating advanced tooling including AI-assisted incident investigation.

Available to hire

Software Development Engineer with 7+ years of experience building scalable, highly available distributed systems and cloud-native applications. Strong expertise in Java, Spring Boot, AWS, microservices, event-driven architecture, serverless systems, and system design across global environments.

Proven track record of improving reliability, reducing incident response/MTTR, automating deployments and infrastructure, and delivering measurable performance and cost improvements. Experienced in building high-throughput services, operating production systems with strong observability, and integrating advanced tooling including AI-assisted incident investigation.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

Javanese

Fluent

Work Experience

Software Development Engineer at Amazon

October 1, 2024 - Present

Architected a serverless, event-driven regional metadata publishing platform on AWS to process ~10K daily region updates with launch peaks of 22K updates and ~200 TPS. Implemented AWS CDK, Lambda, SNS/SQS, Kinesis, CloudWatch, and scheduled Python ETL to transform boundary metadata into schema-less key-value storage and backfill 22M records in 30 minutes. Eliminated race conditions in an approval workflow state machine using timestamp-based DynamoDB validation and exponential backoff retries. Performed reliability hardening for a regional boundary service by analyzing heap dumps and CloudWatch error logs, right-sizing infrastructure, and adding proactive alarms, reducing incident response time from 3+ hours to ~30 minutes. Built Java Spring Boot backend with a React frontend for location diagnostics, replacing manual DynamoDB investigation and cutting triage time from ~30 minutes to ~1 minute. Designed a geohash-based event pipeline to detect customer locations impacted by boundary cha

Software Engineer Co-op at Philips

January 1, 2023 - August 31, 2023

Developed automated end-to-end test suites in C# using Gherkin and BDD for a medical-device integration platform, increasing coverage by 40+ scenarios and accelerating performance testing for 256- and 512-bed patient monitoring systems. Built a contract-based C# configuration tool for a patient monitoring system and integrated it with Azure for automated updates to a 512-bed system, reducing manual effort from 10 hours to 2 hours. Translated clinical domain requirements into executable Gherkin specifications in collaboration with product and clinical teams, reducing ambiguity, enabling faster validation, and reducing test setup time by 3 hours per deployment.

Software Engineer II at Dell Technologies

March 1, 2021 - October 31, 2021

Led 5 engineers in designing and executing Python and RabbitMQ-based pipelines to migrate 2.3TB of enterprise data from Oracle Database to MongoDB and Elasticsearch, completing cutover within 6 hours with zero downtime and preserved data integrity. Optimized MongoDB/Elasticsearch query patterns after migration, reducing average query latency from 800ms to 120ms and reducing time-out exceptions by 37% for reporting and search workflows. Delivered Twilio-based WhatsApp and SMS integrations for order communications across 3 countries supporting 500+ concurrent clients. Automated migration notifications and infrastructure health checks using Prometheus and the ELK Stack for operational updates every 10 minutes (non-critical) and 30 minutes (critical). Gathered requirements and designed solutions for 10+ business-critical programs in Agile cycles. Served as subject-matter expert for a customer communication platform and mentored 2 summer interns on architecture, development practices, API t

Software Engineer I at Dell Technologies

June 1, 2018 - February 28, 2021

Designed and developed Java and Spring Boot microservices for Dell enterprise communication and storage-management platforms, using MongoDB and RabbitMQ to support distributed workflows across 10,000+ storage arrays. Modernized a global customer communication ecosystem by consolidating legacy solutions into a centralized microservices platform, onboarding 70+ countries and supporting ~500,000 emails/day with peaks of 7.3M. Built a Python/RabbitMQ reconciliation pipeline to identify and reprocess failed events across storage-orchestration services and external partner platforms, reducing recovery time from ~4 hours to 30 minutes and eliminating ~20 hours of manual effort weekly. Led DevOps initiatives for 15 microservices including migrating repos to GitLab, adding SonarQube quality gates, and automating deployments to Pivotal Cloud Foundry, eliminating manual release steps. Improved automated testing coverage with JUnit unit/integration tests integrated into CI/CD, resolving 60+ critic

Software Engineer I at Hash Works

July 1, 2017 - May 31, 2018

Developed a global order-search platform for Dell using Java, Elasticsearch, MongoDB, and Splunk supporting 1M+ daily clients. Built Python/Flask REST APIs to integrate order-search with customer-facing Dell applications for near real-time data exchange across 10 business-critical systems. Redesigned non-critical workflows from synchronous to RabbitMQ-based asynchronous processing, reducing server load and improving critical API response time by 17%. Strengthened unit testing with Mockito, increasing coverage from 67% to 89% and improving reliability by reducing production incidents by 4 per release cycle. Implemented Splunk-based logging/monitoring for 3 services to improve production visibility and reduce troubleshooting/resolution time from 1 hour to 10 minutes while tracking KPIs.