Himanshu Rai

Software Engineer

Hyderabad, Telangana, India6 yrs 8 mos experience

AI Enabled

Key Highlights

Expert in cloud infrastructure and automation strategies.
Proven track record in enhancing deployment efficiency.
Strong background in scalable microservices development.

Stackforce AI infers this person is a Backend-heavy Fullstack developer in the SaaS industry.

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Skills

Core Skills

Cloud InfrastructureMicroservices

Other Skills

Spring BootHibernateTerraformKubernetesOCIFluxCI/CDdocker & kubernetesApache KafkaSpring security spring boot spring batch spring MVCElastic Stack (ELK)Spring CloudWeb EngineeringSoftware Architectural DesignSoftware Systems Engineering

About

At Oracle, my work focuses on cloud infrastructure and automation strategies that enhance scalability and deployment efficiency. My contributions include designing and provisioning Oracle Cloud Infrastructure environments, automating processes with Terraform, and architecting dynamic autoscaling and resource optimization solutions. I also develop scalable microservices using frameworks like Spring Boot and Dropwizard and manage production-ready Python applications, leveraging Kubernetes and Flux for seamless microservice deployment. I am currently pursuing an Executive Post Graduate Diploma in Artificial Intelligence and Machine Learning from IIT Roorkee, expected to complete in March 2026. My technical expertise includes Java, Core Java, and SQL, which I have applied extensively across roles in organizations including Flipkart and Actify Data Labs. My goal is to continue contributing to innovative technology solutions while fostering collaboration within teams.

Experience

6 yrs 8 mos

Total Experience

2 yrs 4 mos

Average Tenure

1 yr 11 mos

Current Experience

Oracle

Senior Member of Technical Staff

Jun 2024 – Present · 1 yr 11 mos · Bengaluru · On-site

Working on backend systems supporting Oracle Gen2 cloud services with a focus on scalability, high
availability, reliability, and security.
Designing and contributing to request flows involving load balancers, Kubernetes ingress, services, and
downstream microservices for low-latency, high-throughput distributed systems.
Implementing authentication and authorization mechanisms to enable secure inter-service communication.
Provisioning and managing OCI resources such as VCNs, compartments, compute instances, and OKE
clusters using Terraform.
Supporting Kubernetes autoscaling strategies and improving system behavior under varying traffic
patterns.
Improved overall system reliability by approximately 20% through structured logging, enhanced
observability, proactive alarm configurations, and robust handling of edge cases.
Enabled GitOps-based continuous delivery using Flux and CI/CD pipelines, resulting in nearly 40%
improvement in deployment efficiency.
Participating in HLD/LLD discussions, system design reviews, production debugging, and observability
improvements.