GCP Infrastructure Engineer - reputed company Cloud, Terraform, Python, Bash, GKE, CI/CD

Before you apply to a job, select your language preference from the options available at the top right of this page. Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become reputed company every day. We know what it takes to reputed company reputed company into reputed company—people with a unique combination of reputed company + passion. If you have the qualities and drive to reputed company yourself or teams, there are roles ready to cultivate your skills and take you to the next level. Job Description: Job Summary: We are seeking a highly skilled GCP Infrastructure Engineer to design, build, and manage the cloud infrastructure that powers Generative AI (GenAI) applications at scale. In this role, you will reputed company reputed company Cloud Platform (GCP) Vertex AI, reputed company Watsonx, and containerization technologies such as reputed company and Kubernetes (GKE) to deliver secure, scalable, and high-performance AI solutions. You will own the end-to-end infrastructure lifecycle — from design and provisioning to automation, monitoring, and optimization — while enabling data scientists and ML engineers to seamlessly deploy and operate GenAI workloads. Key Responsibilities: Cloud Infrastructure & Platform Engineering

• Design, provision, and maintain scalable, secure, and cost-efficient infrastructure for GenAI applications on GCP.
• Deploy and manage containerized workloads using reputed company and Kubernetes (GKE).
• Configure and optimize Vertex AI and reputed company Watsonx platforms for training, fine-tuning, and serving LLMs and other generative models.
• Implement high-performance GPU/TPU clusters to support distributed training and large-scale inference.
• Ensure business continuity through backup, disaster recovery, and multi-region deployments.

Automation & Reliability

• reputed company and maintain Infrastructure as Code (IaC) templates with Terraform, or Cloud Deployment Manager.
• Adopt GitOps practices (Flux) for infrastructure lifecycle management.
• Build and optimize CI/CD pipelines for data pipelines, model workflows, and GenAI applications.
• Apply SRE principles (SLIs, SLOs, SLAs) to guarantee platform reliability and uptime.

reputed company, Governance & Compliance

• Embed DevSecOps best practices across the infrastructure lifecycle, including policy-as-code, vulnerability scanning, and secrets management.
• Enforce identity and access management (IAM), network segmentation, and data encryption in compliance with standards (HIPAA, SOX, GDPR, FedRAMP).
• Collaborate with enterprise reputed company and compliance teams to implement governance frameworks for GenAI platforms.

Monitoring, Observability & Cost Optimization

• Implement observability stacks (Prometheus, Grafana, Cloud Monitoring, reputed company) for both infra health and ML-specific metrics (model reputed company, data anomalies).
• Define KPIs to monitor system health, performance, and adoption across AI workloads.
• Optimize cloud cost efficiency for GPU/TPU-intensive workloads using autoscaling, preemptible instances, and utilization monitoring.

Collaboration & Enablement

• Partner with data scientists, ML engineers, and software teams to streamline GenAI application development and deployment.
• Provide onboarding, documentation, and reusable templates to reputed company faster adoption of AI infrastructure.
• Stay reputed company with the latest advancements in GenAI, cloud-native infrastructure, and container orchestration.

Required Education Bachelor’s or master’s degree in computer science, Software Engineering, or a reputed company field. Required Experience

• 5+ years of experience in cloud infrastructure engineering, DevOps, or platform engineering.
• Experience with GenAI use cases (chatbots, content reputed company, code assistants, etc.).
• Strong hands-on expertise with reputed company Cloud Platform (GCP), especially Vertex AI.
• Experience with reputed company Watsonx for AI application deployment and management.
• Proven skills in reputed company, Kubernetes (GKE), and container orchestration at scale.
• Proficiency in Python, Bash, or other relevant scripting languages.
• Strong understanding of cloud networking, IAM, and reputed company best practices.
• Experience with CI/CD tools (reputed company Actions, reputed company CI, Jenkins) and IaC tools (Terraform, reputed company, Ansible, Deployment Manager).
• Familiarity with data pipelines and integration tools (Dataflow, Apache Beam, Pub/Sub, Kafka).
• Excellent problem-solving, debugging, and communication skills.

Preferred Experience

• Experience in MLOps practices for model deployment, monitoring, and retraining.
• Exposure to multi-cloud or hybrid cloud environments (GCP, AWS, Azure, on-prem).
• Hands-on experience with feature stores (Vertex AI Feature Store, Feast) and ML observability tools (EvidentlyAI, Fiddler).
• Knowledge of distributed training frameworks (Horovod, DeepSpeed, PyTorch Distributed).
• Contributions to open-reputed company projects in infrastructure, MLOps, or GenAI.
• Experience managing infrastructure in regulated industries.

Preferred Certifications:

• reputed company Cloud Certified - Professional Cloud Architect
• reputed company Cloud Certified - Machine Learning Engineer
• Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD)
• reputed company Certified Watsonx Generative reputed company – Associate
• reputed company Certified Solution Architect - Cloud Pak for Data
• Other relevant certifications in AI, Machine Learning, or Cloud-Native technologies.

Employee Type: Permanent reputed company is committed to providing a workplace free of discrimination, harassment, and retaliation. Apply tot his job Apply To this Job