We are seeking a Senior Platform Engineer to manage multiple critical enterprise applications, including but not limited to Netcracker, Alepo, and Axiros, on GCP. In this high-impact role, you will support cross-functional engineering teams by streamlining their deployment processes and providing a unified, reliable platform. You will be responsible for designing automated deployment pipelines, building upgrade scripts, and enhancing our GCP cloud infrastructure to ensure scalability. The ideal candidate possesses deep expertise in GCP, Terraform, Linux administration, and CI/CD methodologies, and thrives in a collaborative environment driving infrastructure-as-code standards.

• Architect and maintain scalable, reliable systems and applications on Google Cloud Platform (GCP) and Drive Infrastructure-as-Code (IaC) standards by developing and maintaining configurations with Terraform.
• Serve as a Cloud Architect for cross-functional engineering teams, supporting enterprise applications such as Netcracker, Alepo, and Axiros.
• Design and implement end-to-end CI/CD pipelines to accelerate software delivery and automation.
• Lead incident management, conduct Root Cause Analysis (RCA), and participate in on-call rotations to ensure high service availability.
• Collaborate with engineering teams to optimize system performance and prioritize resource rightsizing.
• Build and maintain internal developer platforms and tools that enhance engineering productivity.

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 5 years of hands-on experience in public cloud environments, including Kubernetes, VPC, and Cloud Run and expertise in infrastructure management and automation using Terraform , Ansible and SaltStack.
• 5 years of experience leading SDLC, CI/CD pipeline implementation, and supporting enterprise applications.
• 5 years of experience with Linux system internals, containerization, building autonomous task workflows and establishing security guardrails.
• 2 years of experience coding in programming languages such as Python or Java.
• Familiarity with monitoring and logging ecosystems (e.g., GCP Monitoring, Prometheus, Datadog, Dynatrace, ELK) and diagnosing complex system-level issues.

• Proven experience architecting and deploying solutions using AI/LLM stacks (Gemini, Vertex AI, ADK).
• 5 years of direct experience in GCP and managing multi-cloud environments
• Experience in application performance optimization for both stand-alone and distributed systems.
• Excellent analytical, communication, and cross-team collaboration skills.