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Specialized senior DevOps+data role with niche skills limits applicants, producing moderate competition.
Requires combined DevOps and data-engineering experience, limiting cross-industry transferability.
Explicit 8+ years, 4+ years DevOps, and numerous mandatory platform and data skills make shortlisting strict.
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Own design, build, and management of scalable, secure cloud infrastructure primarily on GCP with AWS as secondary, using Terraform, Kubernetes, and CI/CD pipelines.
Lead building and operation of production Python data pipelines including batch and streaming workflows with orchestration via Airflow/Cloud Composer and associated data platform infrastructure.
Ensure cloud security best practices, DevSecOps integration, system observability, and participate in incident response and root cause analysis.
8+ years of professional experience in software, data, or infrastructure engineering.
At least 4 years in a dedicated DevOps, SRE, or Platform Engineering role.
Strong hands-on experience with Google Cloud Platform (GCP) and good working knowledge of AWS.
Proficiency in Terraform, Kubernetes, Docker, CI/CD tools (Jenkins, GitLab CI, GitHub Actions, ArgoCD), Python (production-grade), and advanced SQL with cloud data warehouses (BigQuery preferred).
Experienced in both data engineering (production-grade ETL/ELT pipelines, data warehousing, orchestration) and platform engineering roles, capable of blending infrastructure automation with data workloads.
Technically adept at managing secure, scalable multi-cloud (GCP, AWS) environments with strong cloud security, DevSecOps practices, and infrastructure as code.
Experienced with observability, incident management, and collaborating across analytics, ML, and product teams for reliable, governed data delivery.