Himanshu Singhal

About Himanshu Singhal

I am a backend and platform engineer focused on building scalable, secure, and highly observable distributed systems that power data-intensive enterprise platforms.At Syniti, I work across core platform initiatives spanning identity architecture, audit logging, search infrastructure, and cloud security, with an emphasis on designing reusable platform capabilities that enable multiple product teams to ship faster and operate safely at scale.Key areas of impact include:• Designing and evolving IAM-first platform architecture supporting multi-cloud deployments and compliance requirements• Building centralized audit logging infrastructure enabling governance, observability, and cross-service traceability• Leading IRSA adoption and secure workload identity patterns across Kubernetes environments• Architecting a reusable search abstraction layer simplifying OpenSearch integration and reducing team-level operational overhead• Driving platform reliability through monitoring, logging, and operational excellence practices• Mentoring engineers and contributing to design discussions influencing cross-team technical directionI enjoy working at the intersection of distributed systems, platform engineering, and cloud security, and I’m particularly interested in building foundational infrastructure that scales across teams and products.

Experience

1. Software Engineer Iii

   Syniti

   Mar 2024 — Present

   Engineer in the core platform team building cloud-native data management and compliance infrastructure powering enterprise SaaS workloads across multi-cloud environments.• Architected and delivered a distributed multi-cloud search abstraction platform (AWS OpenSearch, Azure Cognitive Search, Elasticsearch) enabling zero-code provider switching across microservices serving 10M+ daily queries• Led organization-wide migration of 100+ microservices to IAM-based PostgreSQL authentication, defining security architecture and eliminating stored DB credentials to support FedRAMP compliance• Built and standardized a language-agnostic database authentication platform using short-lived tokens and Terraform-enabled RDS IAM integration across Kubernetes workloads• Defined and rolled out a standardized audit logging architecture aligned with NIST SP 800-53 AU-3, enabling consistent audit coverage across Go, Java.NET, and Python services• Implemented hybrid audit capture strategy (structured SDK events + rule-based log inference) achieving compliance without ingestion pipeline changes• Led IRSA adoption across Kubernetes workloads, enforcing least-privilege access and removing long-lived AWS credentials• Redesigned distributed rule processing engine using streaming reads and concurrency control, improving throughput by 60%+ for multi-million-row workloads• Built streaming export pipeline with incremental XLSX generation and S3 multipart uploads enabling reliable multi-GB report delivery• Designed cross-database usage metering platform (DVUM) spanning PostgreSQL, Oracle, SAP HANA, and SQL Server to power billing and revenue analytics

Education

• Maharaja Agrasen Institute Of Technology, Delhi

  Bachelor of Technology (BTech), Information Technology

  2014 — 2018

Skills

• Github
• Java
• Microsoft Word
• C
• Programming
• Cascading Style Sheets (Css)
• Git
• Core Java
• Mysql
• Adobe Photoshop
• C++
• Html
• Sql
• Linux
• Android App Development