Platform, Automation and Integration Engineer - Enterprise Data Lakehouse

About Vericence
Vericence is a digital engineering and technology consulting firm helping enterprises build AI-driven platforms, modernize legacy systems, and scale innovation through cloud, data, and intelligent engineering. We partner with global organizations to deliver high-impact technology solutions and build world-class engineering teams.
Required Skills
Terraform-first platform engineering: provision workspaces, master catalog structure, compute classes, storage, and secrets as code on Oracle AIDP (OCI preferred; Azure/AWS acceptable); managed state, fully reproducible environments.
Asset bundles and CI/CD: package pipelines, jobs, schemas, and config into bundles; promote one artifact Dev SQA Prod through GitHub pipelines with PR gates, schema-as-code validation, and rollback.
Environment-promotion runbook: a short, versioned runbook backed by automation: pre-checks, deploy, smoke test, sign-off, rollback, full audit trail.
DevOps ownership: own the GitHub organization setup, branching and release strategy, environment configuration, and secrets management; build and maintain the CI/CD pipelines every EDL workload ships through; treat pipeline health, deployment frequency, and lead time as the platform's core metrics.
API and service-layer integrations: authenticated, versioned platform services (catalog registration, orchestration, metadata, logging ingestion) plus pre-built admin functions for recurring operations.
RBAC conformance: continuously reconcile AD groups and catalog grants against the approved RBAC standard; detect and report drift automatically.

Work arrangement
Yes