Cloud Engineering & DevOps
GCP & Azure | DevOps/SRE | CI/CD | Blue-Green & Canary
Overview
Expert-Vetted engineers bridging software, SRE, and DevOps. We architect, deploy, and operate cloud-native platforms on Google Cloud and Azure, with production rigor: CI/CD (CircleCI, GitHub Actions), resilient Kubernetes (AKS/GKE), and safe rollout strategies (blue-green/canary/rolling).
We pair strong Python backends (FastAPI) and data platforms (MongoDB, BigQuery) with observability and cost controls. Your applications ship fast and safely with measurable SLOs and automatic rollback capabilities.
Technical Excellence
Approach & Methodology
- Environments: Isolated state, scoped credentials, and per-env quotas; prod-first observability
- Pipelines: buildx multi-arch images, SBOM/vuln scanning, cache layers, promotion gates
- Kubernetes: Resource requests/limits, HPA, PDBs, affinity/taints; secrets/ConfigMaps by env
- Networking: TLS, WAF/CDN options, private cluster patterns, controlled egress
- Data: Tiered storage, partitioning/clustered tables (BigQuery), backup/restore and TTL policies
Technology Stack
- Google Cloud: GKE, Cloud Run, BigQuery, Cloud Build/Deploy, Artifact Registry, Secret Manager
- Azure: AKS, ACR, Key Vault, Azure Monitor, Application Gateway/Front Door, Azure Identity
- CI/CD: CircleCI (orbs, contexts), GitHub Actions (workflows, environments, OIDC)
- IaC: Terraform (workspaces/modules), Bicep; policy checks (OPA/Conftest)
- Deploy: Helm/Kustomize; blue-green via service switching; canary via HPA/weighting
Measurable Impact
Expected Results
- Safe, routine releases with measurable reduction in deployment failures/MTTR
- Predictable latency and costs via resource governance and autoscaling
- Auditable pipelines and clear separation of duties/secrets across environments
KPIs We Track
- Change failure rate
- Deployment frequency
- Lead time for change
- MTTR (Mean Time To Recovery)
- p95 latency/error rate
- Rollout success rate
- Cloud spend per service
How We Work Together
Discovery & Architecture → Build & Integrate → Hardening → Operate
- Discovery & Architecture (1-2 weeks): Requirements, diagrams, IaC plan, SLOs
- Build & Integrate (3-6+ weeks): Clusters, CI/CD, apps/data services, security baselines
- Hardening (1-3 weeks): Rollouts, policies, alerts/runbooks, disaster recovery
- Operate (ongoing): Reliability/cost tuning, platform enablement for teams
Ready to Get Started?
Let's discuss how Cloud Engineering & DevOps can transform your business