Anubhab Ray

DevOps Engineer

Bengaluru, Karnataka, India6 yrs 1 mo experience

Key Highlights

Led automation projects at Oracle to optimize developer workflows.
Managed OKE clusters ensuring production stability and security.
Developed a RAG-based AI chatbot using OCI Gen AI.

Stackforce AI infers this person is a DevOps Engineer specializing in SaaS infrastructure and automation.

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Skills

Core Skills

Ci/cdDevopsInfrastructure As CodeKubernetesMonitoring

Other Skills

JenkinsShell ScriptingPython (Programming Language)AnsibleTerraformGrafanaJavaGitlabSQLOracle ApexGroovyGoogle Cloud Platform (GCP)Amazon Web Services (AWS)Oracle CloudApache ZooKeeper

About

🚀 3.5+ Years Experienced DevOps Engineer | OCI, AWS, Kubernetes, Terraform | CI/CD with Jenkins, ArgoCD and Ansible 🔧 Skilled in container orchestration (Docker, Kubernetes), Infrastructure as Code (Terraform, Ansible), and proactive monitoring using Prometheus and Grafana. 💼 At Oracle, I've led automation projects, enhanced enterprise upgrade pipelines, managed OKE clusters for production SaaS customers, and built a RAG-based internal AI chatbot using LangChain and OCI Gen AI. 🔹 Core Skills ☁️ Cloud: OCI, AWS (EC2, VPC, ALB, Auto Scaling, ECS) 🛠 IaC: Terraform, Ansible 🐳 Containers: Docker, Kubernetes (OKE) 🚀 CI/CD: Jenkins, ArgoCD, Shell, Python 🤖 AI/GenAI: LangChain, RAG, OCI Gen AI, Oracle 23AI 📊 Monitoring: Prometheus, Grafana, Kibana 👉 Passionate about simplifying ops, reducing manual toil, and exploring how GenAI can supercharge DevOps workflows.

Experience

6 yrs 1 mo

Total Experience

Average Tenure

Current Experience

Oracle

3 roles

DevOps Engineer 2

Oct 2025 – Present · 8 mos

Working as part of Fusion CX Sales CI/CD team, building internal automation tools to reduce manual effort and optimize developer workflows
Designed and configured Jenkins pipelines using Groovy, automating scheduled environment port access for developers and implementing automated patching pipelines to deploy the latest JARs seamlessly across multiple environments

JenkinsShell ScriptingCI/CDDevOps

DevOps Engineer

Jul 2023 – Oct 2025 · 2 yrs 3 mos

Enhanced the existing CX Industry Framework(CXIF) upgrade automation scripts using Python, Shell, Ansible, Terraform and Kubernetes to align with development team’s requirements for new code line releases.
Managed OKE(Oracle Kubernetes Engine) clusters of customers and other infrastructures on OCI, providing critical support in troubleshooting production upgrades
Conducted smoke testing and promoted artifacts across OCI tenancies including DIT, Pre-prod and Production.
Developed a shell script to automate the removal of Tanium package and installation of CrowdStrike security package across multiple Kubernetes clusters, ensuring adherence to OCI security compliance
requirements
Renewed and installed SSL certificates on production clusters and performed cloud infrastructure migration activities
Implemented an automated cleanup procedure on 60+ OKE nodes using cron jobs that trigger when disk usage exceeds 75% drastically reducing node outage and manual maintenance overhead by 90%

Python (Programming Language)AnsibleInfrastructure as CodeKubernetes

Project Intern

Jan 2023 – Jul 2023 · 6 mos

Managed weekly deployments of hotfixes and major releases for SaaS customers across multiple product lines, while collaborating with cross-functional teams on release planning to ensure high-quality software delivery.
Executed numerous service requests of customers including database cloning, migration, whitelisting, data dump export within SLAs using OEM, Oracle Autonomous DB.
Performed server capacity utilization and forecasting across multiple data centers, also executed disaster recovery drills for mission-critical systems strengthening app resilience
Proactively monitored infrastructure using Grafana, Prometheus, Kibana, and OCI Logging; handled 24/7 on-call incident management, reducing MTTR by 30% through effective triage of critical alerts
Developed a Python script to automate password expiry checks across database accounts, cutting down manual effort and improving operational efficiency.
Optimized system performance by tuning SQL queries and applying execution plan baselines

KubernetesGrafanaMonitoringDevOps