DEVOPS Engineer (Observability Migration (Splunk → Datadog))

Remote

Notice Period: 30 Days

Key Responsibilities

Observability Migration (Splunk → Datadog)

- Execute discovery across the Splunk estate: data sources, ingestion paths (Universal/Heavy Forwarders, HEC, Firehose, syslog), volumes, props/transforms logic, content usage, and downstream consumers
- Deploy and manage Datadog Agents at scale (EKS/Kubernetes via Helm, EC2/on-prem via config management) alongside existing Splunk forwarders in a dual-run model
- Configure Datadog Observability Pipelines where required (in-network masking via Sensitive Data Scanner, filtering, routing)
- Design and enforce the tagging taxonomy, RBAC/Teams model, log index tiers (hot/Flex/Archive), and cost guardrails
- Migrate content: dashboards, monitors, and SIEM detections — using conversion accelerators, rebuilding complex SPL as Datadog queries/log-based metrics, deploying everything as Terraform (Datadog provider)
- Build validation tooling comparing platforms (volume, quality, alert behavior) and run evidence-gated, per-account cutovers with tested rollback

Azure DevOps Migration (instance → instance)

- Inventory and migrate ADO projects across organizations/instances: repos, boards/work items (with history), pipelines, artifacts, service connections, variable groups, and permissions
- Use and evaluate migration tooling (Azure DevOps Data Migration Tool, ADO REST APIs, third-party utilities); script gap-filling migrations via PowerShell/Python against the ADO API
- Re-establish pipeline integrity post-migration: service connections, agent pools, secrets (Key Vault integration), and approvals/policies
- Plan cutover with freeze windows, validation checklists,



and rollback for in-flight work

GitHub & GitOps

- Migrate repositories to GitHub (Enterprise/Cloud) preserving history, branches, tags, and where feasible PR metadata; map ADO/legacy permissions to GitHub teams and CODEOWNERS
- Stand up GitHub Actions CI/CD (or integrate with existing pipelines), reusable workflows, environments, and OIDC-based cloud authentication
- Implement GitOps delivery patterns: infrastructure and platform configuration as code (Terraform), PR-based change management, drift detection, and automated deployment via Actions/Argo CD/Flux (as applicable)
- Define branch protection, secret scanning, and repository governance standards

Required Skills & Experience

- 6+ years in DevOps/Platform/SRE roles with at least one large-scale platform migration delivered end-to-end
- Observability: hands-on Splunk administration (SPL, forwarder architecture, props/transforms, HEC) and Datadog (Agent, log pipelines, monitors, APM basics); understanding of OpenTelemetry
- IaC: solid Terraform (modules, state management, provider ecosystems — Datadog provider a plus)
- Azure DevOps: deep familiarity with projects, boards, YAML pipelines, and the ADO REST API; prior org-to-org migration experience strongly preferred
- GitHub: Actions, branch protection, GitHub API/CLI, enterprise administration; GitOps tooling (Argo CD/Flux) experience valued
- Automation: proficient in Python and/or PowerShell for API-driven tooling; Bash; config management (Ansible/Chef/Helm)
- Cloud: AWS (EKS, EC2, Kinesis Firehose, S3, IAM) — Azure familiarity a plus
- Comfortable with change management, evidence-based cutover practices, and writing runbooks/rollback procedures

📌 DEVOPS Engineer (Observability Migration (Splunk → Datadog)) (India)
🏢 Metasys Technologies
📍 India