Designs and builds cloud platform frameworks, reusable engineering components, CI/CD pipelines, infrastructure-as-code, and data warehouse foundations on GCP. Responsibilities include configuring deployment gates and rollback strategies, provisioning infrastructure with Terraform, supporting Composer, BigQuery, Pub/Sub, and serverless services, implementing observability, and onboarding engineering teams. The role also covers security scanning, access management, network connectivity, firewall configuration, and integration with Kafka or other data-transfer platforms.
Key
Skills:
- Hands on experience in Python and setting up data warehouse
framework preferably in native GCP tools.
- CI/CD: Proven, hands-on experience building CI/CD pipelines from
scratch, not just operating existing ones. Must have set up trigger
configuration, branch protection, environment promotion gates, and
rollback strategies end-to-end (Cloud Build, GitLab CI, or similar)
- Framework Development: Demonstrated experience designing and
building platform frameworks from the ground up, reusable components,
shared libraries, and templated tooling that engineering teams build on
top of
- IaC: Terraform for provisioning and managing cloud infrastructure
- GCP: Working knowledge of core GCP services, Cloud Composer
(Airflow), BigQuery, Pub/Sub, Cloud Run/Functions, Artifact Registry,
Secret Manager
- Observability: Experience with Dynatrace or equivalent monitoring
platforms; ability to set up alerting, dashboards, and pipeline health
checks
- Platform Support: Experience onboarding teams onto platform
services including security scanning, access management, and network
connectivity/firewall configuration
Good to
Have:
- Understanding of networking concepts, inter-system connectivity,
firewall rules, proxy configurations, and data transfer protocols (SFTP,
Kafka)
- Familiarity with Confluent Kafka or event-streaming platforms
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