Ajay Jeena

Software Engineer

Gurugram, Haryana, India2 yrs 5 mos experience

Highly StableAI Enabled

Key Highlights

Developed scalable solutions at Oracle, enhancing performance diagnostics.
Streamlined 5G deployments, significantly reducing time and effort.
Led CI/CD pipeline development, achieving high deployment reliability.

Stackforce AI infers this person is a SaaS-focused Software Engineer with expertise in cloud computing and microservices.

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Skills

Core Skills

Software DesignCloud Computing IaasWeb Development

Other Skills

Python (Programming Language)Go (Programming Language)KubernetesDebuggingCI/CDMongoDBNode.jsDeep LearningSystem DeploymentComputational LinguisticsREST APIsProduct AnalyticsComputer ScienceReducing Operating CostsAutomated Machine Learning (AutoML)

About

Myself Ajay jeena, final year CSE undergraduate at NIT RAIPUR with passion for technology and always eager to learn new technologies. email - ajayjeena20@gmail.com

Experience

2 yrs 5 mos

Total Experience

2 yrs 5 mos

Average Tenure

2 yrs 5 mos

Current Experience

Oracle

2 roles

Software Engineer

Jul 2024 – Present · 1 yr 11 mos

Built a scalable MCP server in Go, integrated with Kubernetes observability stack to automate performance diagnostics, reducing manual monitoring effort by 40% across multi-service Kubernetes environments.
Designed and developed distributed debugging and observability workflows for microservices, including inter-cluster tcpdump automation, reducing root-cause analysis time by 80% and improving production reliability.
Led the development of an end-to-end CI/CD pipeline for an ingress gateway microservice, enabling zero-touch deployments and regression testing, reducing release cycles by 40% and achieving 95%+ deployment reliability.

Python (Programming Language)Go (Programming Language)Software DesignCloud Computing IaaS

Software Engineer Intern

Jan 2024 – Jul 2024 · 6 mos

Streamlined the deployment of 5G core components (CNDB, NRF) in a multi-cluster Kubernetes environment, achieving an 83% reduction in deployment time.
Automated end-to-end security certificate management (OCCM/NF) for OCCNE infrastructure, reducing provisioning time by 40% using Kubernetes-based automation.