DevOps & platform engineering
Ship infra without fire drills. DevOps engineers who treat prod like prod.
Broken pipelines, mystery drift, and pager fatigue usually trace to environments nobody can reproduce and deploys nobody can roll back. We place engineers who run Terraform plans in anger, untangle stateful workloads on Kubernetes, and wire CI with OPA checks so a bad apply stops before it becomes a 3 a.m. outage. The outcome is faster releases with audit-ready infrastructure history instead of console archaeology.
Talk about your platform gapsname: production-deployon: push: branches: [main]env: AWS_REGION: ap-south-1jobs: deploy: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - uses: hashicorp/setup-terraform@v3 - run: terraform plan -out=plan.tfplan && terraform apply plan.tfplan - run: aws eks update-kubeconfig --name prod-cluster - run: helm upgrade --install api ./charts/api -f values.prod.yaml - run: kubectl rollout status deployment/api --timeout=5mCore stack
- Terraform
- AWS & zero-trust IAM
- Kubernetes (EKS / GKE)
- GitHub Actions CI/CD
- Prometheus & Grafana
- Helm & GitOps
5+
Average years in production infra
Engineers who've owned on-call, not just written Terraform in a sandbox account.
Deep-Dive Tech Stack
Platform reliability depends on how provisioning, clusters, IAM, and pipelines fit together. We match on the ecosystem you operate so drift detection, deploy gates, and observability reinforce the same production standards.
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Terraform
Module design, remote state with locking, and plan/apply workflows guarded by OPA or Sentinel. Every environment reproduces from version-controlled modules, which turns days of console clicks into minutes of automated provisioning and flags out-of-band changes before they compound.
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AWS & zero-trust IAM
EKS cluster design, encrypted RDS, VPC segmentation, and IAM scoped to least privilege. IRSA for pod credentials, SCP guardrails across accounts, and Secrets Manager rotation mean a leaked key does not become a full-account compromise.
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Kubernetes (EKS / GKE)
Cluster ops, Helm releases, autoscaling, and ingress for stateful apps with PVC binding and graceful shutdown hooks. They choose operators versus raw Deployments deliberately and roll out node drains without violating pod disruption budgets.
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GitHub Actions CI/CD
Build, test, scan, and deploy pipelines with environment protection and OIDC to cloud IAM. Artifact promotion from staging to production includes image signing and automated rollback triggers so standard releases keep lead time under an hour without skipping checks.
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Prometheus & Grafana
SLO dashboards tied to error budgets and alerts on user-visible symptoms, not CPU noise. Deploy markers on charts correlate latency spikes to commits so incident triage starts with evidence, not guesswork.
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Helm & GitOps
Chart versioning, values layering per environment, and rollback paths tested before you need them. Argo CD or Flux keeps cluster state aligned with the repo so manual kubectl patches get caught by drift reconciliation.
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Docker & supply chain
Multi-stage builds, Trivy or Grype scanning in CI, and registry policies that block unsigned images. Base image digests stay pinned and rebuild on CVE advisories instead of hoping outdated libc goes unnoticed in production.
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OpenTelemetry
Distributed tracing from CI deploy through ingress to database calls, with trace IDs in structured logs. Engineers correlate a failed rollout to the exact downstream dependency without stitching together three dashboards manually.
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Vault & secrets management
Dynamic credentials for databases and cloud APIs, rotation policies, and audit trails on secret access. Long-lived keys in environment variables get replaced with scoped, expiring tokens that limit blast radius when a pod is compromised.
What platform leads measure
- Average years in production infra
- 5+
- Typical deploy-time reduction
- 40%+
- Uptime targets we've helped teams hit
- 99.9%
- From access grant to first pipeline fix
- Days
Engineers who've owned on-call, not just written Terraform in a sandbox account.
After pipeline hardening and environment parity fixes on engagements we've supported.
Through SLO definition, error budgets, and incident response playbooks, not heroics.
Not months of architecture review before anything ships.
Platform questions we hear on every call
How do you handle time-zone crossovers?
DevOps overlap is non-negotiable for incidents. We schedule 4+ hours with your core team and document handoff notes for anything that spans zones. Pager escalation paths are agreed upfront, with no guessing who picks up at 2 a.m.
Do your engineers get root access on day one?
Access follows your policy. We typically start with read-only audit, then scoped write to non-prod, then prod via your approval workflow. We don't ask you to bypass SOC2 controls to prove velocity.
What is your code review process for infra changes?
Terraform and Helm changes go through plan output review, peer approval, and automated policy checks (OPA, tfsec, or your existing scanners). We treat infra PRs with the same rigor as application code, because a bad apply is just an outage with extra steps.
Can you work inside our existing AWS or GCP account?
Yes. We operate in your accounts, your VPCs, and your CI systems. We don't require migration to our tooling or a managed platform upsell.
How do you document what you build?
Runbooks, architecture diagrams, and README updates ship with the change, not in a separate "documentation sprint" three months later.
