Mahesh Rayachur

Senior Software Engineer

Bengaluru, Karnataka, India5 yrs 4 mos experience

Most Likely To Switch

Key Highlights

Architected Kafka pipelines with sub-2s latency
Delivered $2M+ in ARR through product integrations
Achieved 99.9% uptime with comprehensive observability

Stackforce AI infers this person is a Backend Engineer specializing in scalable healthcare and insurance systems.

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Skills

Core Skills

MicroservicesApache Kafka

Other Skills

Java 17Spring Boot 3.3.5AWS EKSKubernetesHelmDockerPostgreSQLRedisGitLab CI/CDGrafanaPrometheusKloudfuseAgile DevelopmentCore JavaAmazon Web Services (AWS)

About

Experienced Backend Engineer specializing in building scalable, high-performance systems for enterprise healthcare and insurance platforms. 5 years architecting microservices, event-driven architectures, and multi-tenant solutions that serve 100K+ users. 💡 What I Do: I design and optimize backend systems that handle massive scale—from real-time Kafka pipelines processing 500K+ messages/day to multi-tenant architectures supporting 50+ organizations. My focus is on performance, reliability, and delivering measurable business impact. 🎯 Recent Impact: Architected distributed event-driven Kafka pipelines achieving sub-2s latency for mission-critical medical data delivery Built multi-tenant backend architecture ensuring data isolation and horizontal scalability across microservices Drove 30-40% performance improvements and 50% latency reduction through architectural optimization Delivered $2M+ in ARR through zero-downtime product integrations Achieved 99.9% uptime with comprehensive observability using Kloudfuse, Grafana, and Prometheus 🔧 Technical Stack: Java 17 • Spring Boot 3.3.x • Apache Kafka • Microservices • REST APIs • AWS (EKS, MSK, S3) • Kubernetes • Docker • Helm • PostgreSQL • Oracle • Cassandra • Redis • GitLab CI/CD • JUnit • Mockito 🏥 Domain Expertise: Healthcare (HIPAA compliance, medical device integration) | Insurance (policy management, payment systems) 📜 Certifications: AWS Certified Developer – Associate | Azure Administrator Associate (AZ-104)

Experience

5 yrs 4 mos

Total Experience

1 yr 9 mos

Average Tenure

2 yrs

Current Experience

Citiustech

Senior Software Engineer

May 2024 – Present · 2 yrs · Bengaluru, Karnataka, India · Hybrid

Architecting scalable backend solutions for healthcare platforms serving medical professionals and patients across multiple organizations. Leading multi-tenant system development with focus on real-time data processing, security compliance, and high availability.
Key Contributions:
▪ Multi-Tenant Architecture: Designed and implemented a distributed backend supporting 50+ healthcare organizations with tenant-level data isolation and horizontal scalability.
▪ Real-Time Data Pipeline: Built a Kafka-based event-driven pipeline processing 5+ data streams and 500K+ messages/day with sub-2s latency.
▪ Medical Device Integration: Developed multi-threaded Kafka consumers/producers to transform proprietary device data into real-time clinical insights.
▪ Security & Compliance: Implemented mTLS, IAM-based authentication, and AES-256 encryption-at-rest ensuring HIPAA compliance.
▪ Platform Modernization: Upgraded to Java 17 and Spring Boot 3.3.5, achieving 25% better performance and maintaining 90%+ test coverage.
▪ Cloud Infrastructure Optimization: Refactored Helm charts and optimized AWS EKS deployments, cutting pod startup time by 40% and improving deployment success to 99.5%.
▪ Observability & Reliability: Established Grafana, Prometheus, and Kloudfuse-based monitoring, reducing incident response time by 35% and maintaining 99.9% uptime.
Technologies: Java 17, Spring Boot 3.3.5, Apache Kafka, AWS EKS, Kubernetes, Helm, Docker, PostgreSQL, Redis, GitLab CI/CD, Grafana, Prometheus, Kloudfuse

Java 17Spring Boot 3.3.5Apache KafkaAWS EKSKubernetesHelm+8

Capgemini

2 roles

Senior Software Engineer

Promoted

Jul 2023 – May 2024 · 10 mos

Key Contributions:
Built microservices architecture powering insurance dashboard for 100K+ policyholders, aggregating personal details,
policy information, coverage specifics, payment schedules, and rider details across 15+ backend systems—serving as
primary self-service portal for policy management.
Delivered two new insurance product integrations (cancer-specific coverage and life insurance policy) within 6-month
roadmap, enabling customers to purchase additional policies directly through the platform and generating $2M in
annual revenue through expanded product offerings.
Led development of policy-lookup microservices for real-time dashboard retrieval, improving page-load latency by
30%. Optimized queries and connection pools, reducing infrastructure costs by 2

MicroservicesAgile Development