Siddharth Arora

Senior Software Engineer with 5+ years of experience building scalable backend systems using Java, Spring Boot, Kafka, PostgreSQL, AWS, Kubernetes, and distributed systems across healthcare, fintech, and logistics domains.

Senior Software Developer at Arintra Pvt. Ltd. (2024-08 – 2026-05)

• Developed and maintained the core Java Spring Boot backend powering Arintra's flagship AI-assisted medical coding platform, supporting automated CPT, ICD and Modifier code prediction workflows for 40K–60K patient charts daily across multiple healthcare organizations.
• Enhanced backend services within a multi-tenant architecture serving 20+ healthcare providers, improving tenant isolation, scalability, and operational reliability while supporting millions of coding predictions annually.
• Led observability initiatives by implementing centralized monitoring, dashboards, logging, and alerting across 50+ production services, reducing incident detection time by approximately 60% and improving troubleshooting efficiency.
• Leveraged Kubernetes expertise to improve platform stability across engineering teams, helping resolve deployment and pod reliability issues for 12+ critical services and contributing to improved production uptime.

Software Development Engineer at Niyo Solutions Pvt. Ltd. (2022-05 – 2024-08)

• Owned and maintained 3+ production microservices serving 800K+ users, utilizing Java, Spring Boot, Kafka, AWS, Docker, Kubernetes, and Kong API Gateway technologies to support business-critical fintech workflows.
• Developed and managed the Central Notification Service responsible for delivering 100K's of transactional and customer notifications daily across multiple business verticals.
• Built and enhanced a Risk Analysis Service supporting onboarding and verification workflows for 100K+ customer applications annually, enabling scalable customer risk evaluation and decision-making.
• Created an organization-wide CLI platform that reduced new microservice setup time from multiple hours to under 5 minutes, accelerating developer onboarding and eliminating repetitive DevOps dependencies.

Software Engineer at Delhivery Pvt. Ltd. (2021-06 – 2022-04)

• Developed distributed data processing pipelines using PySpark, AWS EMR, S3, Athena, Glue, and Airflow, processing 100M+ of logistics records daily for operational analytics and reporting.
• Improved batch processing throughput and workflow reliability through ETL optimization, reducing pipeline execution times by approximately 30%.
• Built scalable data processing workflows supporting logistics operations across 1M+ daily shipment movements and business-critical reporting systems.

Bachelor of Technology – National Institute of Technology, Jalandhar (2017-08 – 2021-05)