SKP
Shashi Kumar Pandey

Senior Software Engineer

Bengaluru | Distributed Systems & Infra Scale

Shashi Kumar Pandey

Distributed systems and infrastructure engineer building scalable, cloud-native platforms with deep experience in Kafka, microservices, high-throughput services, and production reliability.

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Cloud-native backend leader

Distributed systems | Performance engineering | AI-augmented engineering

APISpring Boot | REST | AWSKafkaEvent streaming | BackpressureWorkersRetries | Idempotency | AutoscalingDataMySQL | Redis | ElasticsearchObservabilityTracing | Logs | MTTRPlatformKubernetes | Docker | Fault tolerance
7K+customers served by billing systems
100KRPM high-throughput performance tuning
1M+events and delayed jobs handled
500K+daily API requests across SAP microservices

Engineering focus

Built for scale, latency, and operational trust.

Distributed systems architectureKafka and event-driven platformsHigh-scale backend engineeringCloud-native infrastructurePerformance and reliability engineeringAI-augmented automation

Experience

Production systems across Exotel and SAP Labs.

May 2025 - PresentBengaluru

Senior Software Engineer, Member of Technical Staff 3

Exotel

Owns architecture and delivery for a distributed billing platform serving thousands of customers with Kafka-based event-driven microservices.

  • Led performance work for a high-throughput 100K RPM system, improving p99 latency to under 200ms across producer, consumer, and database hot paths.
  • Optimized Kafka processing pipelines by addressing consumer lag, partition imbalance, and backpressure in production.
  • Designed fault-tolerant job processing for more than 1M delayed jobs per day with queue sharding, retries, and autoscaling workers.
  • Built observability and rollout practices that reduced MTTR by roughly 50% and drove security incidents to zero.
Aug 2016 - May 2025Bengaluru

Software Development Engineer 2

SAP Labs India Pvt. Ltd.

Built and scaled Spring Boot microservices, Kafka data pipelines, tenant provisioning workflows, and IoT analytics systems.

  • Scaled backend services to 500K+ daily API requests while maintaining sub-200ms p99 latency in production.
  • Designed Kafka-based data pipelines processing 10M+ events per day for reliable cloud-to-edge synchronization.
  • Reduced tenant onboarding time from 2 days to 30 minutes through workflow automation and orchestration improvements.
  • Delivered real-time IoT analytics for 20+ enterprise customers with sub-second time-series processing.

Selected work

Systems that connect architecture to measurable outcomes.

AI Automation System

Built a multi-agent LLM workflow for content generation, review, and publishing, reducing manual effort by roughly 90%.

Distributed Billing Platform

Architected scalable, idempotent, event-driven billing workflows across Kafka consumers, MySQL, and cloud-native services.

Reliability Tooling

Built tracing, log correlation, and incident-response improvements for faster production debugging and safer releases.

Technical depth

Backend, data, and infra skills for large-scale platforms.

Languages

JavaGolangTypeScriptSQL

Backend

Spring BootMicroservicesREST APIsDistributed Jobs

Data

KafkaMySQLPostgreSQLRedisElasticsearch

Cloud & Infra

AWSKubernetesDockerObservabilityCI/CD

Resume

One-page profile with detailed impact.

Senior Software Engineer with 9+ years across cloud-native platforms, distributed architecture, fault tolerance, and p99 latency optimization.

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