5 of 5 Contract Google Kubernetes Engine Jobs

Description: Mandatory Skills: GCP Network GCP Network JD: Must have- Key points to check in the resource Google networking Products, Terraform and Git hub Google Network - Cloud Router, DNS, HA VPN, Dedicated Interconnect, IP Address Management, Private Service Connect, Private Service Access, Google Load Balancer, Service Directory. … knowledge (including Dedicated Interconnect, VPC network peering, Cloud Routers, Firewalls, Google DNS, Cloud NAT, IAM and VPC SC), basic knowledge of connected workloads (GKE, Compute Engine, Cloud SQL, Storage buckets, Google Data AI products, etc.) and corresponding ancillary function such as Identity. Hands on participation in projects ...

workloads. You will work closely with engineering, data, and product teams to embed cost-efficient architectures, enforce financial governance, and implement best practices across Google Cloud environments. Responsibilities Optimise large-scale data analytics workloads via partitioning, clustering, query rewrites, storage format improvements, and lifecycle policies. Tune containerised microservices … hands-on experience in Google Cloud. Strong understanding of GCP data services, including indexing, slots, pruning, partitioning, and clustering. Expert-level Kubernetes & GKE resource tuning. Hands-on experience with Dataflow pipelines and worker optimisation. Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator). Deep understanding of Cloud ...

years of hands-on experience in Google Cloud Strong understanding of GCP Data services (indexing, slots, pruning, partitioning, clustering) Expert-level Kubernetes & GKE resource tuning Hands-on experience with Dataflow job pipelines and worker optimisation Strong Airflow/Composer knowledge (DAG design, scheduling, PodOperator) Strong Dataflow processing pipelines … collaborate across engineering, data, and product teams Structured problem-solving mindset Ownership-driven, proactive and independent Experience Required Min 5+ years experience in Google Cloud ...

Full Stack development with AI & Data Engineering expertise Strong experience in Google Cloud Platform (Vertex AI, BigQuery, GKE) Infrastructure as Code using Terraform Proficiency in Python, Java, and ReactJS Experience with frameworks: Quarkus (Java) and Google Agent Development Kit (Python ...

/ML Engineer or Applied ML Engineer Deep hands-on knowledge of Google Cloud Platform (Vertex AI, BigQuery, Cloud Run, GKE, Pub/Sub) Proven track record building LLM, GenAI, or traditional ML solutions end-to-end Comfortable in startup or scale-up environments — fast-moving, iterative, delivery-focused ...