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I'm a Lead Developer and senior backend engineer with 8+ years building production systems across fintech, healthcare, and enterprise infrastructure. Currently leading backend development at Dell Technologies, Genpact Digital, and Shell.

My work lives at the intersection of distributed systems design, cloud-native infrastructure, and high-throughput backend engineering — from migrating monoliths to microservices to architecting event-driven pipelines that handle millions of daily messages.

I hold a Master's in Applied Computer Science from Dalhousie University and an AWS Solutions Architect certification (SAA-C02).

Languages

Go · TypeScript · Java · Python · Kotlin · JavaScript

Backend & Frameworks

Node.js · Spring Boot · Quarkus · FastAPI · Express · GraphQL · gRPC · Temporal · Django

Frontend

React · Redux · Next.js · Angular

Cloud & Infrastructure

AWS (Lambda · ECS · SQS · SNS · EventBridge · API Gateway · EC2 · S3 · CloudWatch · IAM · Cognito · Route53)
GCP · Azure

DevOps & Orchestration

Kubernetes · Docker · Helm · Terraform · ArgoCD · Ansible · Jenkins · GitHub Actions · CircleCI

Databases

PostgreSQL · MySQL · MongoDB · DynamoDB · Redis · InfluxDB

Observability

ELK Stack · Grafana · Prometheus

Designed and delivered serverless architectures on AWS (Lambda + Step Functions + EventBridge) handling 10,000+ daily events with sub-200ms latency. Converted legacy monolithic workflows into fault-tolerant, event-driven pipelines with an 85% improvement in system fault tolerance.

Led the transition from REST to gRPC across load-intensive Spring Boot microservices — resulting in a 70% acceleration in inter-service communication speed.

Architected notification and data-fetching systems using GraphQL + Redux + message queues, cutting redundant API polling by 35% and boosting frontend data efficiency by 70%.

Managed full cluster migrations from Kind → K3s on AWS, complete with Helm chart redesigns, Terraform provisioning, and disaster recovery configuration for zero-downtime deployments.

Built large-scale async pipelines with Python, FastAPI, and Apache Kafka — processing 1M+ messages daily with a 40% throughput improvement.

• Advanced Temporal workflow orchestration patterns in Go
• KEDA-driven autoscaling with Redis/SQS work queues
• Indexed Kubernetes Jobs for paginated API ingestion at scale

I'm always open to discussing distributed systems architecture, backend engineering challenges, or interesting opportunities in senior/lead engineering roles.

→ Email: bijit12cse@gmail.com → LinkedIn: bijitashya → Portfolio: bijitashya.dev