DevOps Architect

Actively Reviewing

Ascendion

Pimpri Full-Time Posted 3 weeks ago · Apply by Aug 25, 2026

Job Description

Job Description

We are seeking a highly seasoned, GCP DevOps/Data Architect at Ascendion designs and scales cloud-native architectures, builds CI/CD and MLOps pipelines, and integrates AI tools (like Copilot or Gemini) to optimize engineering. The hybrid, based roles demand extensive Google Cloud expertise, containerization, and data automation

Experience: 10+ Years

Technical Skills & Requirements

Design, build, and operate enterprise‑scale GCP platforms with strong focus on security, scalability, and operational excellence
Manage and support Google Kubernetes Engine (GKE) clusters hosting both application and data ingestion / processing workloads
Build and maintain CI/CD pipelines using Cloud Build for platform services, data pipelines, and containerized workloads
Operate and manage Artifact Registry for container images and data‑related artifacts
Provision and manage GCP infrastructure using Infrastructure as Code, supporting multiple environments (Dev, UAT, Prod)
Design and maintain GCP networking for data platforms, including VPCs, Shared VPCs, load balancers, NAT, and private access
Partner with data engineering teams to enable reliable deployment and operation of data pipelines, orchestration tools, and ingestion services
Implement IAM, secrets management, and encryption controls to support secure access to data platforms and services
Ensure platform observability for both infrastructure and data workloads using Cloud Monitoring and Cloud Logging
Support production operations, perform troubleshooting, and participate in incident resolution for platform and data services
Contribute to platform standards, documentation, and continuous improvement of DevOps and data‑enablement practices

Key Responsibilities

10+ years of experience in DevOps / Platform Engineering, primarily on Google Cloud Platform (GCP)
Strong expertise in GCP Organization, Folder, and Project structures, governance, and environment isolation
Advanced hands‑on experience with Google Kubernetes Engine (GKE), including private clusters and node pool management
Experience supporting containerized data workloads (ingestion services, orchestration tools, batch or streaming jobs) on GKE
Strong experience with Compute Engine and working knowledge of Cloud Run
Extensive experience with GCP networking, including:
VPC and Shared VPC design
Cloud Load Balancing
Cloud NAT, Private Google Access, and Cloud DNS
Cloud VPN and Cloud Interconnect
Hands‑on experience building CI/CD pipelines using Cloud Build
Experience managing artifacts and container images using Artifact Registry
Strong experience using Terraform to provision and manage GCP infrastructure
Proficiency with Cloud IAM, service accounts, and workload identity
Hands‑on experience with Cloud Monitoring and Cloud Logging, including dashboards and alerts for data pipelines
Experience with Secret Manager and Cloud KMS
Operational knowledge of Cloud Storage, including lifecycle policies and access controls
Strong automation skills using Python, Bash, YAML, and gcloud CLI

Soft Skills

Ability to collaborate closely with data engineering and analytics teams
Strong ownership mindset with focus on platform reliability and data availability
Clear communication skills for working across DevOps, Data, and Security stakeholders
Structured approach to problem‑solving in production environments
Comfort operating in large‑scale, regulated, or enterprise data environments