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soodrajesh/README.md

Rajesh Sood

Senior DevOps Engineer in Dublin, 15+ years in IT. Day job: AWS platform architecture, vulnerability remediation at scale, and MLOps & CI/CD for a production estate. Open to Senior DevOps, MLOPs, SRE, Platform/Cloud Engineering and Solutions Architect roles.

Write-ups are on irajeshsood.com/blog.


Platform and delivery

  • gcp-gke-platform-engineering: GKE Autopilot developer platform. Pod Security, policy-as-code and Binary Authorization as three separate admission gates; Argo CD; Cloud Deploy canary with a bad-release rollback drill.
  • gcp-cloudrun-secure-delivery: vulnerability gate, two KMS-signed attestations checked by Binary Authorization, digest-pinned canary to Cloud Run.
  • gcp-keyless-cicd-supply-chain: GitHub Actions to Cloud Run with no stored credentials. Workload Identity Federation pinned to one workflow file, Sigstore signing, SBOM and SLSA provenance, verify-before-deploy.
  • gcp-network-landing-zone: hub-and-spoke on Network Connectivity Center. Prod and dev reach shared services but not each other.
  • gcp-sre-reliability-lab: SLOs as code, multi-window multi-burn-rate alerts per the SRE Workbook, a live chaos drill, and a Gemini-drafted postmortem.

AI agents and MCP

  • gcp-mcp-gateway-gke: one gateway between agents and MCP servers. Short-lived tokens, per-caller tool filtering, upstream calls under the gateway's own identity. agentgateway on GKE Autopilot.
  • gcp-mcp-platform: remote MCP servers on Cloud Run with Google identity tokens verified in-app, per-caller scopes, Firestore rate limiting and a BigQuery audit trail.
  • gcp-agent-orchestration-platform: multi-agent incident response (ADK, A2A, MCP) with Firestore-checkpointed runs, rollbacks gated on human approval, a spend cap and a kill switch.
  • gcp-agent-regression-harness: compares a baseline and a candidate model or prompt over tool-call traces, with statistics deciding regression or not. Runs as a CI gate.
  • gcp-agent-cost-observability-platform: token and cost logging to BigQuery for a 3-agent Gemini pipeline, injection and exfiltration guardrails, scheduled LLM-judge evals.
  • gcp-enterprise-rag-platform: RAG with access control enforced in SQL before retrieval, DLP redaction, CMEK, and no internet route for the model.

Security and governance tools

Each one reads a project, produces findings, and keeps models away from the decision: a model can explain a result but cannot change it.

  • gcp-iam-blast-radius: follows service-account impersonation chains and scores what each identity could become; every least-privilege fix is re-simulated before it is shown.
  • gcp-plan-review-agents: security, cost, reliability and compliance agents review a Terraform plan; a deterministic judge returns approve / needs_changes / block.
  • gcp-security-posture-scanner: Cloud Asset Inventory plus CIS-mapped Rego rules and Checkov in one BigQuery finding schema with open / resolved / reopened lifecycle.
  • gcp-secrets-sprawl-detector: leaked credentials in env vars, buckets, logs and VM metadata, ranked by who can read them and what they unlock.
  • gcp-data-residency-pii-auditor: finds personal data in BigQuery and GCS and checks region, readers, CMEK and retention against a written policy.
  • gcp-deploy-risk-scorer: risk score for a diff plus hard flags no model can lower, turned into canary %, bake time and reviewers.
  • gcp-drift-triage: adopt / revert / investigate / ignore for each drifted resource, with the change attributed via Cloud Audit Logs.

Data, serverless and FinOps

  • gcp-streaming-data-platform: Pub/Sub with an enforced Avro schema, BigQuery subscription, dead-lettering and replay, PII-masked authorized views.
  • gcp-serverless-orders-platform: Cloud Workflows saga that retries transient failures and compensates business ones; no overselling under a 120-order stress test.
  • gcp-cloudrun-rightsizer: replays real traffic through an autoscaling and billing simulator to find the cheapest config that still meets an SLO.
  • gcp-finops-cost-anomaly-detector: z-score anomaly detection on billing data in a Cloud Run Job, alerting through Pub/Sub.

Earlier work: AWS and Kubernetes


Certifications

  • AWS Certified Solutions Architect – Professional · Amazon Web Services
  • AWS Certified Generative AI Developer – Professional · Amazon Web Services · Expires Nov 2029

Previously: Google Cloud Professional Cloud Architect, Oracle OCI Architect Professional, AWS Developer and SysOps Associate. All on Credly.

Contact: irajeshsood.com · LinkedIn · Medium

Pinned Loading

  1. infra-runbook-rag infra-runbook-rag Public

    CLI that answers on-call questions over an infra repo's markdown docs, with local embedding retrieval and OpenAI-generated, cited answers.

    Python 1

  2. Kubernetes-Prometheus-Grafana-Monitoring Kubernetes-Prometheus-Grafana-Monitoring Public

    Helm-based Prometheus/Grafana/Alertmanager monitoring stack for Kubernetes

    Shell 1

  3. minikube-gitops-platform minikube-gitops-platform Public

    Lean GitOps platform on minikube: ArgoCD + kube-prometheus-stack + a sample app, app-of-apps pattern, non-root/NetworkPolicy/Trivy security baseline

    Shell 1

  4. Flask-ArgoCD-Kubernetes-Deployment Flask-ArgoCD-Kubernetes-Deployment Public

    Flask app on EKS via Kustomize, ArgoCD, and a working GitHub Actions pipeline

    Shell 1

  5. DevSecOps-Platform-Jenkins-SonarQube DevSecOps-Platform-Jenkins-SonarQube Public

    Self-hosted Jenkins, SonarQube, and shift-left security scanners on a single EC2 host

    Shell 1

  6. SageMaker-ML-Pipeline-Terraform-Lambda SageMaker-ML-Pipeline-Terraform-Lambda Public

    Lambda-orchestrated SageMaker training/inference pipeline via Terraform

    HCL 1