2026
Evidence-Based Standards
💡 Why Simple Tutorials Won't Get You Hired in 2026
In today's DevOps hiring landscape, pushing a basic hello-world container to Docker Hub or creating an EC2 instance via the AWS GUI console is no longer enough to land high-paying roles. Recruiters and Senior DevOps Architects look for Evidence-Based Hiring: concrete proof that you can automate end-to-end continuous delivery pipelines, enforce security controls, write modular Infrastructure as Code (IaC), debug Kubernetes workloads, and configure enterprise observability stack monitoring.
This comprehensive guide compiles 25 real-time DevOps portfolio projects divided into 5 core technical domains. Each project includes the business problem, architectural workflow, technical stack, step-by-step implementation guide, and the exact bullet point to place on your resume!
📌 Quick Reference: The 25 Portfolio Projects at a Glance
| # |
Project Name |
Domain |
Primary Stack |
Complexity |
| 01 | Multi-Region AWS Infrastructure | IaC & Automation | Terraform, AWS VPC, S3, DynamoDB | Beginner-Int |
| 02 | Ansible Server Hardening | IaC & Automation | Ansible, Linux Systemd, Nginx, UFW | Beginner-Int |
| 03 | OpenTofu & Checkov Governance | IaC & Automation | OpenTofu, Checkov, Tfsec, GitHub Actions | Intermediate |
| 04 | CloudFormation Multi-AZ Net | IaC & Automation | CloudFormation, VPC Peering, Drift Alert | Intermediate |
| 05 | Automated S3/Glacier DR Backup | IaC & Automation | Bash, Python, PostgreSQL, AWS KMS, Cron | Beginner-Int |
| 06 | Multi-Container Microservices | Docker & K8s | Docker Compose, Nginx, Node.js, Redis | Beginner |
| 07 | Production EKS with Terraform | Docker & K8s | Terraform, AWS EKS, Helm, Ingress-Nginx | Intermediate |
| 08 | KEDA & HPA Event Scaling | Docker & K8s | Kubernetes, KEDA, Prometheus, SQS | Intermediate-Adv |
| 09 | Zero-Downtime Canary Rollout | Docker & K8s | Argo Rollouts, Istio, Prometheus, K8s | Advanced |
| 10 | Stateful Database Cluster | Docker & K8s | StatefulSets, EBS CSI, Velero, Postgres | Advanced |
| 11 | End-to-End GitOps Pipeline | CI/CD & GitOps | ArgoCD, EKS, GitHub Actions, Helm | Advanced ⭐ |
| 12 | Jenkins Shared Library CI/CD | CI/CD & GitOps | Jenkins Groovy, Maven, SonarQube, Nexus | Intermediate-Adv |
| 13 | Ephemeral Preview Envs | CI/CD & GitOps | GitLab CI, Terraform, AWS, Cloudflare | Advanced |
| 14 | AWS CodePipeline ECS Fargate | CI/CD & GitOps | CodePipeline, CodeBuild, ECR, ECS | Intermediate |
| 15 | Multi-Cluster FluxCD GitOps | CI/CD & GitOps | FluxCD, Kustomize, Multi-Cluster K8s | Advanced |
| 16 | Full-Stack DevSecOps Pipeline | DevSecOps & Security | SonarQube, Trivy, OWASP ZAP, Actions | Intermediate-Adv |
| 17 | Vault & Kubernetes External Secrets | DevSecOps & Security | HashiCorp Vault, ESO Operator, KMS | Advanced |
| 18 | Falco Runtime Threat Detection | DevSecOps & Security | Falco, Kyverno, OPA Gatekeeper, eBPF | Advanced |
| 19 | Cert-Manager Auto SSL Renewal | DevSecOps & Security | Cert-Manager, Let's Encrypt, Cloudflare | Intermediate |
| 20 | Zero-Trust IAM Privilege Detector | DevSecOps & Security | AWS IAM, CloudTrail, Prowler, Boto3 | Advanced |
| 21 | Prometheus & Grafana Observability | Observability & SRE | Prometheus Operator, Grafana, Slack | Intermediate-Adv |
| 22 | Centralized PLG Logging Stack | Observability & SRE | Grafana Loki, Promtail, FluentBit, LogQL | Intermediate-Adv |
| 23 | LitmusChaos Resilience Testing | Observability & SRE | LitmusChaos, Chaos Mesh, Pod Kill | Advanced |
| 24 | Self-Healing Infrastructure | Observability & SRE | Prometheus, Alertmanager, Lambda Bot | Advanced |
| 25 | MLOps & LLM Serving Pipeline | Modern MLOps/AI | Ollama, Ray Serve, MLflow, Docker, EKS | Advanced 🔥 |
01
Domain 1: Infrastructure as Code (IaC) & Cloud Automation
Terraform HCL
AWS VPC
AWS S3
DynamoDB State Lock
GitHub Actions CI
Business Context & Problem: Organizations require reusable, version-controlled cloud infrastructure across multiple environments (Dev, Staging, Prod) without risking race conditions or concurrent state corruption during developer deployment workflows.
⚙️ Architectural Workflow
- Design modular Terraform blueprints located in
modules/vpc and modules/security_groups.
- Configure an AWS S3 bucket remote backend with AES-256 server-side encryption and bucket versioning.
- Implement an AWS DynamoDB table as the state locking mechanism to block concurrent
terraform apply runs.
- Automate validation, formatting (
terraform fmt -check), and security scanning in GitHub Actions on every pull request.
💻 Code Highlight: Remote Backend Configuration
# backend.tf - Production Remote State Storage
terraform {
backend "s3" {
bucket = "company-devops-tfstate-us-east-1"
key = "prod/network/terraform.tfstate"
region = "us-east-1"
encrypt = true
dynamodb_table = "terraform-state-locks"
}
}
📄 Resume Bullet Point:
Architected modular Terraform HCL scripts provisioning multi-AZ AWS network infrastructure across 3 environments; configured S3 remote backend state storage with DynamoDB state locking, preventing deployment collisions and reducing provisioning time by 65%.
Ansible Playbooks
Ansible Roles
Linux Systemd
SSH Hardening
UFW Firewall
Business Context & Problem: Manual server setup leads to configuration drift, unpatched security vulnerabilities, and inconsistent runtime environments across production EC2/Linux instances.
⚙️ Architectural Workflow
- Structure Ansible roles for OS kernel parameter tuning, SSH service hardening, and package management.
- Automate non-root user creation, SSH key distribution, disabling password authentication, and custom SSH port enforcement.
- Deploy UFW/IPTables firewall rules ensuring only HTTP/HTTPS (ports 80/443) and hardened SSH are exposed.
- Verify configuration idempotency by running dry-run playbooks (
ansible-playbook site.yml --check).
📄 Resume Bullet Point:
Engineered idempotent Ansible playbooks and roles to automate Linux server provisioning and SSH hardening across 50+ cloud instances, enforcing CIS compliance standards and eliminating configuration drift.
OpenTofu
Checkov Static Analysis
Tfsec
AWS IAM
GitHub Actions
Business Context & Problem: Shift cloud infrastructure security left by detecting misconfigurations, open security groups, and unencrypted volumes prior to cloud resource provisioning.
⚙️ Architectural Workflow
- Migrate Terraform manifests to OpenTofu open-source IaC framework.
- Integrate Checkov and Tfsec static code scanners in GitHub Actions PR checks.
- Fail CI builds automatically when open
0.0.0.0/0 SSH rules or unencrypted EBS volumes are detected.
📄 Resume Bullet Point:
Implemented OpenTofu open-source IaC pipelines paired with Checkov automated security analysis, catching 100% of high-severity cloud infrastructure misconfigurations before PR approval.
AWS CloudFormation
Multi-AZ VPC
VPC Peering
Drift Detection
Business Context & Problem: Native AWS customers require robust CloudFormation templates to establish isolated multi-VPC networking (Management VPC vs Application VPC) with automated drift detection alerts.
⚙️ Architectural Workflow
- Write nested CloudFormation templates for Multi-AZ public/private subnets, Internet Gateways, and NAT Gateways.
- Configure VPC Peering connections with custom route tables allowing secure internal communication.
- Schedule AWS EventBridge rules to trigger CloudFormation Drift Detection, notifying Slack when manual changes occur.
📄 Resume Bullet Point:
Designed nested CloudFormation templates provisioning high-availability multi-VPC networks with VPC Peering; set up automated drift detection alerts to maintain strict infrastructure compliance.
Bash Scripting
Python Boto3
PostgreSQL / MySQL
AWS S3 Lifecycle
AWS KMS Encryption
Business Context & Problem: Enterprise disaster recovery strategies demand zero data loss, client-side encryption, and automated cost-effective long-term backup retention.
⚙️ Architectural Workflow
- Develop cron-triggered shell/Python automation to extract timestamped database dumps (
pg_dump / mysqldump).
- Encrypt backup archives with AWS KMS keys before uploading to S3 Standard bucket.
- Define S3 Lifecycle policies: transition to Standard-IA after 30 days, Glacier after 90 days, and expire after 365 days.
- Configure Slack webhook alerts for immediate incident reporting on script execution failure.
📄 Resume Bullet Point:
Built automated disaster recovery backup pipelines using Python and AWS S3 Lifecycle policies, securing database backups with KMS client-side encryption and cutting storage costs by 45% using Glacier tiering.
02
Domain 2: Containerization & Microservices Orchestration (Docker & Kubernetes)
Docker Multi-Stage
Docker Compose
Nginx Reverse Proxy
Node.js / Python
Redis
PostgreSQL
Business Context & Problem: Developers need consistent multi-service local environments that match production dependencies without manual database or proxy installation.
⚙️ Architectural Workflow
- Create multi-stage Dockerfiles utilizing distroless/alpine images to minimize attack surface and binary image footprint (<50MB).
- Enforce non-root container user execution (`USER node`) for security compliance.
- Orchestrate multi-container runtime using Docker Compose: Frontend, Backend API, Redis Cache, PostgreSQL Database, and Nginx.
- Configure persistent named volumes, custom bridge networks, and container health check conditions (`depends_on`).
📄 Resume Bullet Point:
Containerized multi-tier microservices application using multi-stage Dockerfiles and Docker Compose, reducing container image size by 75% and standardizing local developer onboarding.
Terraform
AWS EKS
IAM Roles for Service Accounts (IRSA)
Helm 3
Ingress-Nginx
Business Context & Problem: Running production workloads on Kubernetes requires secure IAM integration, automated storage provisioning, and declarative package management via Helm.
⚙️ Architectural Workflow
- Provision AWS EKS cluster with managed node groups across private subnets using Terraform
terraform-aws-modules/eks.
- Configure OIDC provider enabling IAM Roles for Service Accounts (IRSA) for fine-grained pod AWS permissions.
- Install EBS CSI Driver allowing Kubernetes dynamic persistent volume claims (PVC).
- Deploy Ingress-Nginx Controller and cert-manager via Helm 3 charts to manage external cluster traffic.
📄 Resume Bullet Point:
Provisioned production-grade AWS EKS clusters via Terraform with IRSA security integration, deploying ingress controllers and storage drivers using Helm 3 to host high-traffic microservices.
Kubernetes HPA
KEDA Operator
Prometheus Metrics
AWS SQS / RabbitMQ
Business Context & Problem: Standard CPU/Memory Horizontal Pod Autoscaler (HPA) fails to react fast enough to sudden message queue spikes or custom business metrics, causing queue processing backlogs.
⚙️ Architectural Workflow
- Deploy KEDA (Kubernetes Event-driven Autoscaling) operator on Kubernetes cluster.
- Define ScaledObject custom resources targeting AWS SQS queue depth or HTTP request rate metrics.
- Enable scale-to-zero pod capabilities during idle periods to save cloud compute costs, rapidly auto-scaling up to 100 pods during traffic surges.
📄 Resume Bullet Point:
Implemented event-driven pod autoscaling using KEDA and AWS SQS, scaling microservices dynamically from 0 to 100 replicas based on queue backlog and reducing compute costs by 35%.
Argo Rollouts
Istio Service Mesh
Kubernetes CRDs
Prometheus Analysis
Business Context & Problem: Traditional rolling updates can introduce bugs to 100% of production users simultaneously. Enterprise apps require canary deployments with automated metric analysis and instant rollbacks.
⚙️ Architectural Workflow
- Deploy Argo Rollouts operator into Kubernetes cluster.
- Configure Canary Deployment strategy with step-weights (e.g., 5% traffic -> 20% -> 50% -> 100%).
- Attach Prometheus metric templates evaluating HTTP 5xx error rates during canary analysis pauses.
- Trigger automatic instant rollback to previous stable replica set if error threshold exceeds 1%.
📄 Resume Bullet Point:
Architected progressive zero-downtime deployment pipelines using Argo Rollouts and Istio service mesh, automating canary metric validation and eliminating deployment-induced production outages.
Kubernetes StatefulSets
CloudNative-PG Operator
AWS EBS CSI
Velero Disaster Recovery
Business Context & Problem: Running databases in containers requires persistent network identities, ordered pod startup/shutdown, and automated node failure recovery.
⚙️ Architectural Workflow
- Deploy CloudNative-PG PostgreSQL operator using Kubernetes StatefulSets.
- Establish persistent ordinal network identities (e.g.,
postgres-0, postgres-1) with dynamic StorageClass volume provisioning.
- Configure automated asynchronous streaming replication between primary and standby database pods.
- Integrate Velero backup operator to schedule snapshot backups of Persistent Volumes to S3.
📄 Resume Bullet Point:
Orchestrated HA PostgreSQL clusters on Kubernetes using StatefulSets and CloudNative-PG operator; configured Velero automated storage snapshots, guaranteeing 99.99% data persistence.
03
Domain 3: CI/CD Pipelines & GitOps Workflows
ArgoCD
GitHub Actions
AWS EKS
Helm 3
Docker ECR
Business Context & Problem: Direct cluster access from CI runners poses significant security risks. Modern enterprises use pull-based GitOps where Git is the single source of truth for infrastructure and application state.
⚙️ Architectural Workflow
- Application CI (GitHub Actions): Developer commits code -> CI builds Docker image -> runs unit tests -> pushes tag (`sha-1234`) to Amazon ECR.
- Manifest Update: CI updates image tag in a separate
gitops-config manifest repository.
- GitOps Sync (ArgoCD): ArgoCD controller running inside EKS detects Git repository drift -> automatically syncs deployment state without exposing cluster credentials outside the VPC.
# ArgoCD Application Manifest (GitOps Pull Model)
apiVersion: argoproj.io/v1alpha1
kind: Application
metadata:
name: microservice-prod
namespace: argocd
spec:
project: default
source:
repoURL: 'https://github.com/my-org/gitops-manifests.git'
targetRevision: HEAD
path: envs/production
destination:
server: 'https://kubernetes.default.svc'
namespace: production
syncPolicy:
automated:
prune: true
selfHeal: true
📄 Resume Bullet Point:
Engineered a enterprise-grade pull-based GitOps pipeline using ArgoCD, EKS, and GitHub Actions; decoupled CI from cluster deployment, eliminating credentials exposure and achieving automated self-healing deployments.
Jenkins Groovy
Jenkins Shared Library
Maven / Gradle
SonarQube
Sonatype Nexus
Business Context & Problem: Duplicating Jenkinsfiles across 50+ enterprise repositories causes maintenance nightmare. Organizations require standardized, centralized pipeline libraries.
⚙️ Architectural Workflow
- Develop reusable Jenkins Shared Library in Groovy located in
vars/standardJavaPipeline.groovy.
- Automate checkout, Maven compilation, SonarQube quality gate verification, unit test coverage enforcement (>80%), JAR artifact publication to Nexus, and Docker container build.
- Enforce pipeline compliance across all developer teams by referencing a single-line
Jenkinsfile.
📄 Resume Bullet Point:
Developed centralized Jenkins Groovy Shared Libraries standardizing CI/CD workflows across 30+ Java microservices; integrated SonarQube quality gates and Nexus artifact repositories.
GitLab CI/CD
Terraform Ephemeral
AWS ECS Fargate
Cloudflare Wildcard DNS
Business Context & Problem: QA and Product teams need real isolated preview environments for every pull request before merging to main, without paying for permanent idle cloud resources.
⚙️ Architectural Workflow
- Trigger GitLab CI on Merge Request (MR) creation.
- Execute Terraform to spin up isolated container tasks on AWS ECS Fargate and create dynamic DNS records (`mr-102.preview.domain.com`).
- Run automated Cypress E2E integration tests against the preview environment.
- Automatically trigger
terraform destroy when the MR is merged or closed to optimize cloud spend.
📄 Resume Bullet Point:
Automated dynamic ephemeral preview environments using GitLab CI and Terraform on AWS ECS Fargate, enabling instant E2E QA testing per PR and saving \$4,000/month by destroying idle resources.
AWS CodePipeline
AWS CodeBuild
AWS ECR
AWS ECS Fargate
CloudWatch
Business Context & Problem: Organizations seeking 100% AWS-native serverless CI/CD without the overhead of maintaining self-hosted Jenkins agents or third-party SaaS tools.
⚙️ Architectural Workflow
- Configure CodePipeline triggered by GitHub / CodeCommit commits.
- Define
buildspec.yml in CodeBuild to execute Docker image builds and vulnerability scans.
- Push output images to AWS ECR and automate ECS task definition updates for serverless Fargate deployments.
📄 Resume Bullet Point:
Built a 100% AWS-native serverless CI/CD pipeline using AWS CodePipeline, CodeBuild, and ECS Fargate, removing server management overhead and achieving sub-5-minute build-to-deploy times.
FluxCD v2
Kustomize Overlays
Multi-Cluster K8s
HelmRelease CRD
Business Context & Problem: Managing identical application configurations across multiple Kubernetes clusters (Staging vs Production) leads to manual YAML duplication errors.
⚙️ Architectural Workflow
- Deploy FluxCD v2 source controller across multiple Kubernetes clusters.
- Structure Git repository using Kustomize base manifests (`base/`) and environment-specific overlays (`overlays/staging/`, `overlays/prod/`).
- Manage third-party applications declaratively using FluxCD `HelmRelease` Custom Resources.
📄 Resume Bullet Point:
Implemented multi-cluster GitOps orchestration with FluxCD and Kustomize overlays, standardizing deployments across staging and production clusters while eliminating 90% YAML redundancy.
04
Domain 4: DevSecOps & Cloud Security Pipelines
SonarQube (SAST)
OWASP Dependency-Check (SCA)
Trivy (Container Scan)
OWASP ZAP (DAST)
GitHub Actions
Business Context & Problem: Vulnerabilities discovered in production are 10x more expensive to remediate than those caught during development. Security checks must be integrated directly into CI build pipelines.
⚙️ Architectural Workflow
- SAST: Run SonarQube static analysis to detect code smells, hardcoded keys, and logic bugs.
- SCA: Execute OWASP Dependency-Check auditing third-party open-source libraries for vulnerable CVEs.
- Container Security: Scan Docker container filesystem layers using Trivy before pushing to registry.
- DAST: Deploy app to staging and execute OWASP ZAP automated penetration testing against web endpoints.
📄 Resume Bullet Point:
Architected an end-to-end shift-left DevSecOps pipeline incorporating SonarQube, Trivy, and OWASP ZAP; blocked builds containing CRITICAL CVEs, improving software security posture by 80%.
HashiCorp Vault
External Secrets Operator (ESO)
AWS KMS
K8s Service Accounts
Business Context & Problem: Storing base64 plaintext secrets in Git or Kubernetes manifests violates compliance standards (SOC2 / HIPAA). Applications need dynamic runtime secrets access.
⚙️ Architectural Workflow
- Deploy HA HashiCorp Vault cluster backed by AWS KMS auto-unseal.
- Configure Vault Kubernetes Auth Method using Pod Service Account tokens.
- Deploy External Secrets Operator (ESO) into Kubernetes to synchronize secrets from Vault directly into application pod memory without storing secrets on disk.
📄 Resume Bullet Point:
Deployed HashiCorp Vault enterprise secrets architecture with Kubernetes External Secrets Operator, eliminating hardcoded passwords across 40+ microservices and meeting SOC2 security compliance.
Falco eBPF
Kyverno / OPA Gatekeeper
Kubernetes Security
Slack Webhook Alerts
Business Context & Problem: Zero-day exploits or compromised container pods can execute unauthorized shell commands or attempt privilege escalation in runtime environments.
⚙️ Architectural Workflow
- Deploy Falco eBPF kernel module driver to monitor system calls across Kubernetes nodes.
- Configure custom Falco rules detecting shell execution (`/bin/bash`) inside running containers and unauthorized access to `/etc/shadow`.
- Enforce Kyverno / OPA Gatekeeper admission controller policies blocking root containers and privilege escalation.
📄 Resume Bullet Point:
Implemented real-time container threat detection using Falco eBPF and Kyverno admission controls, detecting runtime kernel anomalies and enforcing mandatory non-root pod execution policies.
Cert-Manager Operator
Let's Encrypt ACME
Cloudflare / AWS Route53
Ingress-Nginx TLS
Business Context & Problem: Manual SSL certificate purchasing and renewals lead to sudden service outages when certificates expire unexpectedly.
⚙️ Architectural Workflow
- Install cert-manager Kubernetes operator via Helm.
- Configure ClusterIssuer custom resources utilizing ACME DNS-01 challenge via AWS Route53 or Cloudflare API tokens.
- Automate certificate provisioning and silent 90-day renewal for all Ingress hostnames.
📄 Resume Bullet Point:
Automated SSL/TLS certificate lifecycle management on Kubernetes using Cert-Manager and Let's Encrypt DNS-01 challenges, guaranteeing 100% automated renewal across all public endpoints.
AWS IAM Analyzer
Prowler CIS Benchmark
AWS CloudTrail
Python Boto3 Lambda
Business Context & Problem: Over-privileged AWS IAM roles with wildcard permissions (`"Action": "*"`) create major attack vectors for credential theft and privilege escalation.
⚙️ Architectural Workflow
- Run automated Prowler CIS AWS Benchmark security audits against cloud accounts.
- Ingest AWS CloudTrail event streams into CloudWatch Logs.
- Write a serverless Python Boto3 Lambda function that parses IAM policy permissions, automatically revoking unused elevated privileges.
📄 Resume Bullet Point:
Engineered automated zero-trust security auditing using Prowler and Python Boto3 Lambda scripts, detecting over-privileged IAM roles and enforcing least-privilege access across AWS accounts.
05
Domain 5: Observability, SRE & Modern Stack (MLOps / AI Infrastructure)
Prometheus Operator
Grafana Dashboards
Alertmanager
Node Exporter
PagerDuty / Slack
Business Context & Problem: Engineering teams lack visibility into system metrics (Four Golden Signals: Latency, Traffic, Errors, Saturation), leading to slow mean-time-to-resolution (MTTR) during production outages.
⚙️ Architectural Workflow
- Deploy kube-prometheus-stack Helm chart into Kubernetes cluster.
- Configure custom ServiceMonitor CRDs to scrape application metrics endpoints (`/metrics`).
- Build interactive Grafana dashboards displaying real-time cluster CPU, memory, and application latency metrics.
- Establish Alertmanager routing rules with alert inhibition and instant escalation to PagerDuty and Slack channels.
📄 Resume Bullet Point:
Architected full-stack Kubernetes observability using Prometheus Operator and Grafana; configured custom Alertmanager routes and PagerDuty integration, reducing incident MTTR by 50%.
Grafana Loki
Promtail / FluentBit
LogQL
Grafana Visualization
Business Context & Problem: Searching through logs across dozens of ephemeral Kubernetes pods via `kubectl logs` during a live outage is slow and inefficient.
⚙️ Architectural Workflow
- Deploy Promtail DaemonSet to aggregate stdout/stderr container logs from node `/var/log/pods`.
- Stream compressed logs into Grafana Loki log aggregation engine.
- Write LogQL queries in Grafana to correlate log exception stack traces directly with Prometheus metric spikes.
📄 Resume Bullet Point:
Implemented centralized log aggregation using Grafana Loki and Promtail across Kubernetes clusters, writing LogQL queries that streamlined log search times from minutes to seconds.
LitmusChaos
Chaos Mesh
Network Latency Injection
Pod Kill Experiments
Business Context & Problem: SRE teams must validate system fault-tolerance and self-recovery capabilities before unexpected failures occur during peak traffic events.
⚙️ Architectural Workflow
- Install LitmusChaos / Chaos Mesh operators on staging Kubernetes clusters.
- Execute controlled Chaos "Game Day" experiments: random pod termination, network latency injection (200ms delay), and packet loss.
- Validate that Kubernetes PodDisruptionBudgets (PDBs) and auto-healing services maintain system SLA without dropping user requests.
📄 Resume Bullet Point:
Executed Chaos Engineering resilience experiments using LitmusChaos on Kubernetes, validating system auto-recovery under network latency and pod failure conditions to guarantee 99.99% uptime.
Prometheus Alertmanager
AWS Lambda / Python
Kubernetes API
Webhook Receivers
Business Context & Problem: Resolving recurring operational issues (e.g., clearing full temporary log disk spaces or restarting stuck pods) manually burdens on-call engineers unnecessarily.
⚙️ Architectural Workflow
- Configure Prometheus Alertmanager to trigger a webhook HTTP POST request when specific alerts fire (e.g., `DiskSpaceLow` or `PodCrashLooping`).
- Deploy a lightweight Python serverless webhook handler (AWS Lambda / Cloud Run) interacting with Kubernetes API.
- Automate self-healing remediation actions (purging temp cache logs or restarting pods) silently without manual engineer intervention.
📄 Resume Bullet Point:
Engineered an automated self-healing remediation loop using Prometheus Alertmanager webhooks and AWS Lambda, resolving 40% of routine infrastructure alerts automatically without on-call intervention.
MLflow Registry
Ray Serve / vLLM
Ollama Container
Kubernetes GPU Pods
Terraform AWS EKS
Business Context & Problem: Enterprise companies are deploying proprietary AI/LLM models requiring scalable model versioning, GPU-accelerated container serving, and continuous latency observability.
⚙️ Architectural Workflow
- Establish MLflow model tracking server backed by AWS S3 model artifact store.
- Containerize open-source LLM inference engines (Ollama / vLLM / HuggingFace Transformers) using Docker with NVIDIA GPU pass-through drivers.
- Deploy inference workloads on AWS EKS GPU node groups (`g4dn` / `g5` instances) using Ray Serve / Kubernetes.
- Monitor inference metrics (Token Generation Latency, Request Throughput, GPU VRAM Saturation) via Prometheus & Grafana.
# Kubernetes GPU Deployment for LLM Inference Serving
apiVersion: apps/v1
kind: Deployment
metadata:
name: llm-inference-ollama
spec:
replicas: 2
template:
spec:
containers:
- name: ollama-engine
image: ollama/ollama:latest
resources:
limits:
nvidia.com/gpu: 1
memory: "16Gi"
requests:
nvidia.com/gpu: 1
memory: "8Gi"
📄 Resume Bullet Point:
Architected an end-to-end MLOps inference pipeline on EKS GPU node groups using Ray Serve and MLflow; deployed containerized LLM serving endpoints with real-time GPU latency tracking in Prometheus.
🎯 How to Package Your Projects to Guarantee Interviews in 2026
Having great code in a private repository is not enough. Follow these 4 gold standards to make your GitHub portfolio stand out to recruiters and hiring managers:
- Professional README File: Every project repo must include a clear Title, Business Problem Statement, Tech Stack list, Prerequisites, and Step-by-Step Execution Guide.
- Architecture Diagrams: Include visually compelling network/pipeline architecture diagrams created using tools like Excalidraw, Draw.io, or Mermaid.js.
- Document Your Troubleshooting ("Proof of Work"): Add a dedicated
Troubleshooting & Challenges Faced section in your README explaining bugs you encountered and how you fixed them!
- Live Proof & Screenshots: Include screenshots of successful GitHub Actions execution runs, ArgoCD green sync status, Grafana dashboards, or terminal command outputs.
🚀 Ready to Accelerate Your DevOps Career?
Pick 3 to 4 projects from different categories above (e.g., 1 IaC + 1 Kubernetes + 1 GitOps Pipeline + 1 Observability Stack), build them end-to-end, document them on GitHub, and watch your interview callback rates soar!
Happy Automating! ⚡
