We are looking for a Senior DevOps / Platform Engineer specializing in GCP to build and maintain the infrastructure powering our enterprise Data, Streaming, and ML ecosystem. You will focus on building a self-service platform that gives our data team the technical autonomy to deploy pipelines and models securely and efficiently.
Key Responsibilities:
Platform Automation: Design and maintain scalable GCP infrastructure using Terraform; build CI/CD pipelines for infrastructure, data, and ML deployments.
Streaming Infrastructure: Architect and scale low-latency ingestion and processing infrastructure using Pub/Sub and Dataflow.
Data MLOps: Support the infrastructure for Airflow/Composer, BigQuery, dbt, and Vertex AI model deployment pipelines.
Containers Kubernetes: Manage and optimize containerized workloads and autoscaling on Google Kubernetes Engine (GKE).
Observability Security: Implement IAM security, cost optimization (FinOps),
and deep monitoring/alerting for data lag and pipeline health.
Technical Requirements
Deep production experience with Google Cloud Platform (GCP).
Advanced proficiency with Terraform and CI/CD automation.
Strong experience with Docker and Kubernetes (GKE).
Hands-on experience with streaming tools (Pub/Sub, Dataflow) and data stacks (Airflow, BigQuery, dbt).
Solid scripting skills in Python and Bash.
Profile Culture
Platform-as-a-Product Mindset: Dedicated to reducing friction and increasing technical autonomy for internal data teams.
Exceptional troubleshooting skills for complex distributed and real-time data systems
Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.