Rahul Sharma

Senior Software Engineer

Bengaluru, Karnataka, India5 yrs 3 mos experience

Key Highlights

Expert in building scalable microservices and observability frameworks.
Proven track record in reducing system latency and improving MTTR.
Strong background in full-stack and backend development.

Stackforce AI infers this person is a Fullstack Software Engineer with expertise in SaaS and Fintech industries.

Contact

Skills

Core Skills

AwsMonitoringKubernetesJava WebfluxLoggingTerraformApi OptimizationApache NifiOpenshiftJavascriptCli DevelopmentAngularjsFrontend DevelopmentFlaskGcpWeb DevelopmentOpenstackInfrastructureCi/cdMicroservicesReactUi/ux Design

Other Skills

GrafanaPrometheus.ioTypeScriptAmazon Web Services (AWS)Python (Programming Language)Amazon KinesisSpring WebfluxJava Spring BootPythonGo (Programming Language)MongoDBReact.jsBashdockerFluentD

About

Passionate Software Engineer with a proven track record in full-stack and backend development across fintech and cloud platforms. Experienced in building scalable microservices, observability frameworks, and data processing pipelines with Java, Go, and Kubernetes. Known for reducing system latency, improving MTTR, and driving performance optimizations. M.Tech in CSE from NIT Goa. Open to impactful opportunities in systems engineering, DevOps, and deep learning.

Experience

5 yrs 3 mos

Total Experience

1 yr 5 mos

Average Tenure

11 mos

Current Experience

Oracle

Senior Member of Technical Staff

Jul 2025 – Present · 11 mos · Bengaluru, Karnataka, India · Hybrid

Monnai

2 roles

Senior Software Engineer

Apr 2025 – May 2025 · 1 mo · Bengaluru, Karnataka, India · Hybrid

GrafanaPrometheus.ioTypeScriptAmazon Web Services (AWS)AWSMonitoring

Software Engineer

Jun 2023 – Apr 2025 · 1 yr 10 mos · Bengaluru, Karnataka, India · Hybrid

Spearheaded a Kubernetes monitoring stack using Grafana and Prometheus, implementing custom business metrics and proactive alerting to reduce downtime by 30% and accelerate RCA by 50% via real-time dashboards and performance profiling.
Architected a reactive Business Rule Engine using Java Webflux, achieving 99.9% uptime and reducing decision latency by 85% for high-volume services handling 10M+ monthly transactions.
Engineered a FluentD-based logging framework with custom tracing, cutting system downtime by 40% and enabling 75% faster incident resolution.
Streamlined client onboarding workflows using Terraform and AWS, reducing provisioning time from 4 weeks to 2 weeks while maintaining 100% data integrity.
Optimized API response times by 70% via query tuning and caching strategies.
Deployed auto-scaling Apache NiFi clusters on AWS, handling 300% traffic spikes with zero downtime.
Technologies: Java, Go, Kubernetes, AWS, Terraform, Apache NiFi, React, Elasticsearch.

Apache NiFiPython (Programming Language)JavaScriptKubernetesJava WebfluxTypeScript+12

Intel corporation

Graduate Intern

Jul 2022 – Jun 2023 · 11 mos · Bengaluru, Karnataka, India

Developed Devassist, a Go-based CLI tool automating Openshift workflows for Intel DevCloud, reducing developer interaction time by 65%.
Refactored an Angular codebase using Redux for state management, improving app stability by 40% and reducing rendering time by 25%.
Accelerated feature delivery by 45% through contributions to low-code/full-code platforms.

OpenShiftJavaScriptKubernetesTypeScriptPythonGo (Programming Language)+3

Browntape technologies

Frontend Developer

Jul 2021 – Oct 2021 · 3 mos · Goa, India · Remote

Revamped UI/UX for a SaaS-based e-commerce platform using React and TypeScript, improving user engagement by 30%.
Integrated third-party APIs for payment gateways and inventory management, reducing checkout latency by 20%.

TypeScriptAmazon Web Services (AWS)React.jsReactFrontend Development

Persistent systems

Software Engineer

Nov 2020 – Nov 2021 · 1 yr · Goa, India · Hybrid

Led a 4-member team to build a Flask-based blogging platform with sentiment analysis, achieving 95% user satisfaction.
Designed OpenStack drivers for hardware communication pipelines, boosting system reliability by 40% and reducing integration errors by 60%.
Automated CI/CD pipelines with Bash scripting, cutting deployment time by 70% and manual QA efforts by 45%.
Deployed GCP Cloud Functions for microservices, improving scalability by 50% and reducing costs by 35%.

FlaskPython (Programming Language)OpenShiftGoogle Cloud Platform (GCP)KubernetesPython+7