Senior Backend & Security Platform Engineer | Golang | AWS | Distributed Systems

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I'm a backend engineer with 5+ years building high-performance, multi-tenant security platforms and real-time trading systems. I specialize in:

• Multi-tenant SaaS architectures at scale (1000+ tenants, sub-100ms latency)
• High-throughput packet processing and Linux network isolation
• Event-driven microservices on AWS (Lambda, Kafka, DynamoDB)
• Fintech automation (algorithmic trading, broker API integration)

I approach every system with a focus on scalability, security, and observability—from packet-level to cloud infrastructure.

• Multi-tenant cloud SaaS design and optimization
• Microservices & event-driven architectures (Kafka, Lambda, RabbitMQ)
• API design (REST, gRPC, OAuth2, JWT)
• Database optimization (PostgreSQL, Redis, DynamoDB, InfluxDB)

• High-performance backend services in Golang (Gin, Fiber, Chi)
• Real-time data processing and low-latency systems
• Linux network namespaces, packet processing, and networking tools
• Concurrent systems design (goroutines, channels, worker pools)

• AWS: Lambda, EC2, S3, RDS, DynamoDB, EKS, ECR, SQS, SNS, CloudWatch
• Kubernetes & DevOps: Docker, Helm, Terraform, GitHub Actions, ArgoCD
• Observability: Prometheus, Grafana, Jaeger, CloudWatch, ELK Stack

• OAuth2.0, JWT, OpenID Connect, mTLS, TLS/SSL
• AWS IAM, role-based access control, API security
• Secure multi-tenant isolation and data encryption
• OWASP best practices, threat modeling

Multi-Tenant SOAR SaaS Platform

• Architected and scaled SOAR (Security Orchestration, Automation & Response) platform to 1000+ enterprise tenants
• Optimized alert processing pipeline: 60% faster alert handling through intelligent batching and caching
• Designed PostgreSQL schemas with tenant isolation strategies and Redis caching layers
• Built secure REST APIs with OAuth2, JWT, and role-based access control
• Implemented Kafka-based event streaming for real-time threat intelligence correlation

Microservices & Real-Time Processing

• Developed high-performance microservices in Golang and Python
• Built serverless Lambda functions for automated incident response
• Implemented comprehensive monitoring with Prometheus and Grafana
• Designed observability stack with centralized logging and distributed tracing (Jaeger)

Technical Leadership

• Mentored SDE1–SDE2 engineers on system design, API patterns, and best practices
• Led code reviews focusing on performance, security, and maintainability
• Drove architectural improvements reducing infrastructure costs by 35%

• Built serverless event pipelines using AWS Lambda and DynamoDB
  • Processed millions of security events daily with sub-second latency
  • Designed DynamoDB tables for high throughput and cost efficiency
• Developed CI/CD pipelines using GitHub Actions, Jenkins, and ArgoCD
  • Reduced deployment time by 50% through automation and infrastructure improvements
• Optimized data ingestion and processing
  • Improved event processing speed by 4x using Kafka and concurrent workers
• Implemented automated testing and monitoring for reliability

Multi-Tenant Virtual Firewall Platform

• Designed and built multi-tenant virtual firewall platform in Golang
• Leveraged Linux network namespaces for strict tenant isolation
• Achieved 5x throughput improvement via goroutine-based packet processing
• Built custom policy engine with real-time rule evaluation (<1ms latency)
• Implemented comprehensive telemetry and logging for observability
• Enabled enterprise-grade deployments supporting multi-million-dollar deals

On-premises virtual firewall supporting multiple virtual firewalls on a single Debian machine with tenant isolation, packet processing, and security policies.

**Tech Bash/Shell Scripts, Golang (optional CLI tools), iptables/nftables, Linux Namespaces, Debian OS Key Achievements:

• Supports multiple virtual firewalls on single Debian machine (capacity depends on system resources: CPU, RAM, network)
• Deployed via shell scripts with iptables/nftables for packet processing
• Linux namespaces for strict virtual firewall isolation
• Sub-millisecond policy evaluation using kernel-level netfilter rules → View on GitHub

Microservices-based security alert aggregation, correlation, and automated response.

Tech Stack: Go, Python, Kafka, AWS Lambda, DynamoDB, Step Functions
Metrics:

• Scales to 1000+ enterprises
• 60% faster alert handling vs. legacy system
• Multi-tenant isolation with strict data boundaries
• Real-time alert correlation and threat intelligence integration

→ View on GitHub

Real-time stock trading engine with multi-strategy support and broker integration.

Tech Stack: Go, Kafka, FastAPI, Redis, PostgreSQL, WebSocket
Features:

• Real-time broker API integration (Kotak Neo, Zerodha Kite)
• Event-driven order processing pipeline
• Custom trading strategies with profit/loss thresholds
• Live market data streaming via WebSocket
• Backtesting framework with historical data
• Risk management (stop-loss, position sizing, max drawdown)

→ View on GitHub

Languages: Golang • Python • Java • JavaScript • Bash
Web Frameworks: Gin • Fiber • Echo • Chi • FastAPI • Django
Databases: PostgreSQL • Redis • DynamoDB • MongoDB • InfluxDB
Message Queues: Kafka • RabbitMQ • NATS • AWS SQS/SNS
Cloud: AWS (Lambda, EC2, S3, RDS, EKS, CloudWatch, DynamoDB)
DevOps: Docker • Kubernetes • Terraform • Helm • GitHub Actions • ArgoCD • Jenkins
Observability: Prometheus • Grafana • Jaeger • CloudWatch • ELK Stack
Security: OAuth2 • JWT • mTLS • TLS/SSL • AWS IAM • OWASP
APIs: REST • gRPC • GraphQL • OpenAPI/Swagger

My process for building scalable systems:

1. Requirements Analysis – Identify scalability, latency, consistency, and security needs
2. Architecture Design – Choose between microservices, monolith, or event-driven based on constraints
3. Performance PoC – Benchmark, profile, and optimize before full implementation
4. Hardening – Add security, multi-tenancy, error handling, and recovery
5. Observability – Implement logging, metrics, tracing, and alerting
6. Rollout Strategy – Canary deployments, blue-green, feature flags, gradual rollout

Bachelor of Engineering – Electronics & Communication
Indian Institute of Information Technology (IIIT) Allahabad
GPA: 7.90/10

• GitHub: Pull Shark (x2), Pair Extraordinaire, Arctic Code Vault Contributor
• LeetCode: Competitive problem-solving with focus on system design
• Open Source: Active contributor to Go ecosystem projects

🔗 LinkedIn: www.linkedin.com/in/prabhat-ranjan-47078414a-47078414a/
💻 GitHub: github.com/drive-deep
📩 Email: rprabhat760@gmail.com

Building scalable, secure, high-performance systems. Always learning. Open to collaborating on backend challenges, fintech automation, and distributed systems.