Senior Infrastructure / DevOps Engineer
Building reliable cloud platforms, delivery pipelines, infrastructure automation, and production operations guidance.
Infrastructure, cloud, DevOps, and SRE practitioner with 18+ years of experience across systems engineering, automation, cloud platforms, reliability, and production operations. This profile is an open engineering portfolio: every featured repository is designed to demonstrate working code, architecture decisions, operational trade-offs, troubleshooting, or reusable learning value.
Primary focus:
- Multi-cloud engineering across AWS, Azure, and Google Cloud, with AWS evidence published and Azure/GCP projects expanding
- Terraform, immutable infrastructure, and platform automation
- Kubernetes, containers, CI/CD, and GitOps
- Monitoring, observability, SLOs, and incident response
- DevSecOps and software supply-chain security
- Production troubleshooting and cost-conscious engineering
flowchart TB
Profile[GitHub engineering portfolio]
Profile --> Projects[Flagship production projects<br/>MjCart · NutriValue · Terraform · Packer]
Profile --> Product[Product engineering<br/>React · FastAPI · data governance]
Profile --> Roadmap[Learning roadmap<br/>Git · AWS · Kubernetes · CI/CD]
Profile --> Knowledge[Engineering knowledge base<br/>SRE · DevSecOps · incidents · interviews]
Projects --> Proof[Career proof<br/>architecture · code · diagrams · labs · operations]
Product --> Proof
Roadmap --> Proof
Knowledge --> Proof
The compact diagram is designed to remain readable both inside the README and in GitHub's expanded viewer. The detailed, repository-by-repository hierarchy is available in GitHub Engineering Ecosystem.
The publication standards are documented in Repository Standards.
| Repository | Engineering outcome | Evidence |
|---|---|---|
| nutrivalue-enterprise-platform | Transparent nutrition intelligence with enterprise data-governance boundaries | React, FastAPI, USDA and Open Food Facts adapters, FDA Daily Value rules, confidence scoring, tests, OIDC and rolling AWS deployment |
| mjcart-ecommerce-microservices | Production-oriented e-commerce microservices capstone | Services, containers, AWS, Terraform, CI/CD, architecture and operational documentation |
| aws-well-architected-production-labs | Scenario-driven AWS architecture and trade-off analysis | Five assessed systems, six-pillar evidence, failure modes, RTO/RPO, cost decisions and interview scenarios |
| terraform-aws-ha-web-platform | Secure two-AZ AWS web platform with cost-aware and resilience profiles | Reusable Terraform modules, mock tests, OIDC, state protection, manual deployment and cleanup |
| aws-cloudfront-waf-shield-cdn-security | CDN and edge-security engineering: CloudFront, WAF, and Shield working together | Beginner-to-advanced learning path, three cost-bounded labs, Terraform skeleton, incident-style troubleshooting and interview evidence |
| packer-aws-golden-image-pipeline | Immutable-image pipeline from local learning to optional AWS AMIs | Packer, Docker, Terraform, validation, GitHub OIDC and lifecycle controls |
| kubernetes-zero-to-production | Local-first Kubernetes platform and production reasoning path | Secure manifests, Kustomize, Kind runtime proof, schema/policy CI, troubleshooting and EKS architecture |
| git-command-master-map | Safety-first Git practice and recovery system | Visual map, isolated sandboxes, conflicts, reflog recovery, bisect and team workflows |
Repositories are published only when they contain working technical material, an end-to-end guide, validation, security guidance, troubleshooting, and meaningful hands-on exercises.
| Stage | Repository | Status |
|---|---|---|
| 1 | git-command-master-map | Published |
| 2 | aws-well-architected-production-labs | Published |
| 3 | terraform-aws-ha-web-platform | Published |
| 4 | aws-cloudfront-waf-shield-cdn-security | Published |
| 5 | packer-aws-golden-image-pipeline | Published |
| 6 | kubernetes-zero-to-production | Published |
| 7 | cicd-gitops-platform-engineering | Published |
| 8 | observability-sre-engineering-lab | Published |
| 9 | nutrivalue-enterprise-platform | Published product engineering project |
| 10 | devsecops-software-supply-chain |
Planned |
| 11 | production-troubleshooting-handbook |
Planned |
| 12 | mjcart-ecommerce-microservices | Published capstone |
| Cross-stage | devops-sre-interview-playbook |
Planned |
Linux and Git
→ AWS
→ Terraform
→ CDN and edge security (CloudFront, WAF, Shield)
→ Docker and Packer
→ Kubernetes
→ CI/CD and GitOps
→ Observability and SRE
→ NutriValue product and data engineering
→ DevSecOps
→ Production troubleshooting
→ MjCart capstone platform
| Domain | Technologies and practices |
|---|---|
| Cloud | AWS, Microsoft Azure, and Google Cloud architecture, identity, networking, compute, data, governance, and observability, including CDN and edge security (CloudFront, WAF, Shield) |
| Infrastructure as code | Terraform, Packer, CloudFormation, Ansible |
| Containers and platforms | Docker, Kubernetes, EKS, Helm, GitOps |
| Delivery | GitHub Actions, Jenkins, GitLab CI, release governance, OIDC |
| Observability | Prometheus, Grafana, Loki, ELK, Alertmanager, CloudWatch |
| Reliability | High availability, SLOs, incident response, capacity and disaster recovery |
| Security | Least privilege, short-lived identity, secret protection, scanning and supply-chain controls |
| Automation | Bash, Python, reusable workflows and operational runbooks |
| Application and data | React, FastAPI, REST APIs, provider adapters, validation, provenance and controlled rules engines |
Each technical project follows a common engineering narrative:
Problem → Requirements → Architecture → Implementation → Deployment
→ Security → High Availability → Scalability → Observability
→ Disaster Recovery → Cost Optimization → Troubleshooting → Lessons Learned
The shared documentation contract is available in Repository Standards.
- AWS Solutions Architect – Associate
- HashiCorp Certified: Terraform Associate
- Red Hat Enterprise Linux 7
- Kubernetes Administrator
- Microsoft Azure Administrator (AZ-104)
- Google Cloud Professional certification
- Oracle Solaris System Administrator
- Expanding the validated AWS portfolio with production-oriented Azure and Google Cloud engineering evidence
- Designing CI/CD, GitOps, observability and SRE repositories around reusable engineering evidence
- Connecting infrastructure, delivery, observability, security, and incident response into one capstone platform
- Evolving NutriValue from a provider-backed product into a fully observable, Terraform-managed AWS service
- Publishing production reasoning—not only successful deployment steps
- Follow @jeevanm84 for multi-cloud, DevOps, platform engineering, and SRE projects.
- Connect through LinkedIn.
- Use repository Discussions for learning questions and Issues for reproducible defects or improvement proposals.
Reference forks are retained for study but are intentionally separated from the original engineering portfolio.