Backend engineering
Building robust services, APIs and reusable application components.
C#.NETASP.NET CoreRESTgRPCEntity Framework
PRINCIPAL-LEVEL ENGINEERING · ARCHITECTURE · DELIVERY
Engineering systems
that scale with purpose.
I'm Rahul Tandon — a hands-on software engineering leader focused on distributed systems, cloud-native platforms and high-performance backend engineering.
I turn complex engineering challenges into reliable, scalable systems — from architecture and implementation to production operations.
ArchitectureDesign to production
Engineering impactPerformance · Scale · Reliability
20M+trades processed daily
Platform scale reported
Platform scale reported
5M+events processed daily
Event-driven ecosystem
Event-driven ecosystem
25K+peak transactions / second
Platform throughput
Platform throughput
12h → <5scritical workflow duration
Reported optimization
Reported optimization
01 / ABOUT
Architecture thinking.
Engineering execution.
I bring together deep backend engineering, distributed systems design and technical leadership to build platforms that perform under demanding workloads.
My work spans the full engineering lifecycle: understanding business constraints, shaping architecture, implementing services, improving delivery practices and solving production challenges. I value pragmatic design, clear trade-offs, operational readiness and measurable outcomes.
Hands-on problem solvingPragmatic architectureEngineering qualityTeam enablement
02 / TECHNICAL EXPERTISE
Built across the stack.
Core areas drawn from professional experience and technical practice.
Distributed systems
Designing event-driven workflows and service interactions for scale and resilience.
KafkaIBM MQRabbitMQRedisMicroservices
Cloud & platform
Cloud application development, container platforms and hybrid environments.
GCPAzureAWSKubernetesDockerTerraform
Data & performance
Working with data-intensive applications, caching and performance optimization.
SQL ServerMongoDBCosmos DBElasticsearchQuery tuning
Delivery & reliability
Improving engineering workflows, production visibility and operational readiness.
Azure DevOpsGitHub ActionsCI/CDPrometheusGrafana
Technical leadership
Setting technical direction, reviewing designs and code, and enabling engineering teams.
Architecture reviewsMentoringTechnical strategyStakeholder alignment
Technology list reflects experience represented in my professional materials; depth varies by technology and project.
03 / SELECTED WORK
Engineering outcomes.
Representative problem spaces and outcomes, described without employer or client identifiers.
FEATURED ARCHITECTURE CASE STUDY
Modernizing high-throughput trade processing
Designed and implemented a move from sequential processing in a legacy monolithic architecture toward a distributed, event-driven design using Kafka, Kubernetes, Redis and gRPC.
12 hours→< 5 secondsCritical workflow duration
C# / .NETKafkaRedisgRPCKubernetes
Discuss architecture and trade-offs ↗
Order & trade events
↓
Kafka
Redis
↓
Distributed .NET services gRPC communication
↓
Kubernetes platform
Conceptual representation · not a production system diagram
CASE STUDY / 02
Cloud-native platform modernization
Contributing to cloud and hybrid-cloud application development, container platform adoption and operational improvements across production environments.
GCPAzureKubernetesPowerShell
CASE STUDY / 03
AI-assisted incident analysis
Developed a proof of concept using a locally hosted lightweight LLM and agent/tool-calling integrations to gather incident context and support probable root-cause analysis.
OllamaLLMsKibanaService integrations
Case studies summarize professional work at a high level. No employer names, customer identities, internal system names or proprietary implementation details are disclosed.
04 / PROFESSIONAL JOURNEY
Progress through engineering depth.
2021 — PRESENT
Principal-level engineering & solution architecture
Distributed financial platforms, event-driven systems, cloud-native architecture, platform modernization and cross-team technical direction.
2019 — 2021
Technical leadership & backend engineering
Distributed backend services, low-latency gRPC communication, delivery automation and developer mentoring.
2016 — 2019
Enterprise application engineering
Enterprise web applications, backend services, reusable frameworks and SQL performance optimization.
2014 — 2016
Software engineering foundations
Business applications, backend systems and full software development lifecycle delivery.
05 / CONNECT
Let's talk about
engineering challenges.
Open to conversations about Principal and Staff Engineering, Solution Architecture, distributed systems and cloud-native platforms.