Work Preference
Work Type
Full Time
Location Preference
On-SiteRemoteHybrid
Open to relocation:
Yes
Minimum Desired Compensation
₹3150000/yr
Important To Me
Career advancementCompany CulturePersonal development programsHealthcare benefitsPaid time offFlexible work hoursWork-life balance
5
Years of experience
DevOps/Site Reliability Engineer with 6+ years of experience across Oracle and Walmart Global Tech, specialising in cloud infrastructure, Kubernetes, CI/CD, observability and production automation. Strong hands-on experience with Python, Shell, Terraform, Jenkins and GitHub Actions, with a track record of automating large-scale operational workflows and supporting business-critical production environments. Experienced in incident response, Grafana-based observability and cloud-native workload deployment, with additional exposure to GenAI/RAG automation.
Work History
Software Engineer III
5 Months- Own production-health monitoring across 4 major e-commerce environments, covering approximately 16–20 Grafana dashboards and 700–1,000 application, infrastructure and business-metric panels.
- Built a Python-based Grafana validation POC that retrieves panel data every 5 minutes and compares current behavior against 1-week and 2-week historical baselines to detect spikes, drops and abnormal deviations.
- Support P1/major-incident response by correlating business, application and infrastructure telemetry, validating service recovery and coordinating with SRE/application teams; contributed to a P1 incident restored within approximately 10 minutes.
- Developed a lightweight Chrome extension to surface the last dashboard refresh timestamp directly in the UI, helping engineers quickly identify stale dashboard data during monitoring without requiring Grafana administrative access.
Programmer Analyst 2
4 Years 3 Months- Built a Python-based backup automation framework across ~35–40 enterprise customer environments, automating pre-checks, execution and monitoring of backup jobs running up to 7–8 hours and eliminating approximately 1–1.5 engineer-hours of manual intervention per weekly backup cycle.
- Automated Oracle Database parameter-change workflows using Python, handling request validation, CDB/PDB scope, SPFILE backup, restart requirements and post-change verification; automated approximately 90% of eligible parameter-change requests.
- Developed Python and Shell automation for customer- and environment-specific startup, shutdown, patching and recurring production change activities, reducing repetitive manual execution during scheduled maintenance windows.
- Built CI/CD pipelines using Jenkins and GitHub Actions to automate validation and deployment workflows across multiple environments, improving deployment consistency and reducing manual release activities.
- Deployed and operated Python/Shell automation workloads on Kubernetes using Deployments, CronJobs, ConfigMaps and Secrets, with health checks and workload scaling for reliable execution.
- Used Terraform to provision and standardise cloud infrastructure components, creating reusable configurations for compute, networking and IAM resources and integrating infrastructure changes with controlled CI/CD workflows.
- Implemented an OCI-based GenAI/RAG workflow processing ~200–250 RFCs per day across ~35 customer environments, combining document extraction, vector retrieval, LLM-assisted processing and validation controls; reduced manual effort by approximately 70%.
- Supported production workloads across OCI Compute, Database, VCN/networking, IAM, Functions and Object Storage, troubleshooting application, database and infrastructure issues during production changes and incidents.
Education
Bachelor of Engineering - Information Science
Skills
Kubernetes
Terraform / Infrastructure as Code
AWS
Python
Docker
CI/CD Pipelines
Jenkins
GitHub Actions
Prometheus & Grafana
Linux
Monitoring & Observability
Incident Response / SRE
Team collaboration
Code development
JIRA
Code debugging
Software development
Software development life cycle (SDLC)
Software documentation
Database management software
Git proficiency
Linux
Troubleshooting and resolution
API integration
MySQL
API development
Scripting languages: PHP
python
javascript
Amazon web services
Project documentation
Requirements gathering
Coding standards
Additional Information
ConstitutionGPT — Cloud-Native RAG Platform
AWS | Kubernetes | Terraform | ArgoCD | Jenkins | Prometheus/Grafana | Python | RAG
- Architected and deployed a containerised GenAI/RAG platform on AWS, running Python workloads on Kubernetes with persistent storage, Kubernetes Secrets, readiness/liveness probes and automated document-ingestion workflows.
- Provisioned and automated the supporting AWS infrastructure using Terraform and implemented CI/CD/GitOps delivery using Jenkins, GitHub Actions and ArgoCD, enabling image-based deployments, controlled rollouts and Git-driven configuration changes.
- Implemented production-style observability using Prometheus, Grafana and Alertmanager, monitoring Kubernetes/application health and configuring alerts for workload failures including CrashLoopBackOff and image-pull issues.
- Built the RAG pipeline using ChromaDB, sentence-transformer embeddings, Redis caching and an LLM-based response layer, with persistent vector storage and retrieval over constitutional/legal documents.
Career OS — Career Management Platform | mycareeros.dev
GCP | Docker | GitHub Actions | Google OAuth | Nginx | Python
- Designed and deployed a containerised Python application on GCP, exposing it through mycareeros.dev with Nginx, Cloudflare-managed DNS and HTTPS, taking the application from local development to an internet-accessible production environment.
- Implemented automated CI/CD using GitHub Actions and container-based deployment, enabling application changes to be built and rolled out from Git without manual server-side deployment steps.
- Integrated Google OAuth authentication and access control, restricting application access to authorised users and implementing user-aware data segregation within the application.
- Structured the application using UI, service and repository layers backed by SQLAlchemy/SQLite, separating business logic from persistence and making the codebase easier to extend and maintain.
Timeline
Software Engineer III
Walmart
04.2026 - CurrentRead More
Programmer Analyst 2
Oracle
01.2022 - 04.2026Read More
Siddaganga Institute of Technology
Bachelor of Engineering from Information Science
Read More