No cost, no commitment - we'll make a personal intro
Harshini Jaligama
Senior Full-Stack Java Developer specializing in cloud-native microservices and FinTech
DXC TechnologyCal State Long BeachRemote, USA5 Years ExperienceSenior LevelWorks Remote
Connect with Harshini
Harshini already has a relationship with Reval, so a warm intro from us gets a much better response than cold outreach.
Typically responds within 24 hours
Recommended
Already have an account?
About
Full-stack engineer (5+ years with Java/Spring Boot and React) who has built and deployed AWS-based microservices platforms using Kafka for real-time rewards/promotions and large-scale telemetry analytics. Demonstrates hands-on scalability expertise (partitioning, consumer groups, durability/acks, idempotency) and production-minded delivery practices (CI/CD, Docker, testing, Swagger, monitoring).
Hire with Reval
Find your next great hire
Our AI agents source, screen, and vet candidates for your open roles. Get qualified candidates within 48 hours.
Built end-to-end full-stack rewards/personalization platform (React + Spring Boot microservices) with real-time Kafka streaming on AWS
Diagnosed and fixed peak-load Kafka lag/inconsistency issues using partitioning, failed-message handling, and idempotency safeguards
Designed scalable telemetry analytics/sidecar system processing millions of events with Kafka partition keys, consumer groups, and durability/ack strategies
Mid-level Full-Stack Developer specializing in cloud-native backend services and real-time data platforms
Remote, USA4y exp
NetflixUniversity of Dayton
“Backend/data engineering candidate with Netflix experience designing and migrating analytics platforms from batch to real-time streaming (Kafka/Flink) across AWS and GCP. Delivered measurable improvements (40% lower data delay, 99.9% accuracy) using phased rollouts, automated data validation (Great Expectations), and strong observability (Prometheus/Grafana), and proactively hardened pipelines with idempotency to prevent duplicate Kafka processing.”
Mid-level Full-Stack Developer specializing in cloud microservices and AI-driven FinTech
Remote, USA4y exp
StripeSouthern Arkansas University
“Stripe engineer who shipped an end-to-end merchant fraud insights dashboard, spanning Spring Boot/Kafka risk-scoring services and a React+TypeScript UI. Focused on low-latency, high-volume transaction processing and production operations on AWS (EKS/CloudWatch), including handling a real traffic-spike latency incident via query optimization, indexing, and rate limiting.”