This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Google Cloud Platform (GCP) Engineer | Vertex AI | GKE | Terraform based in India.
This is an exciting opportunity for an experienced cloud engineering professional to drive the design and evolution of enterprise-scale cloud platforms and AI-powered infrastructure solutions. The role focuses on building secure, scalable, and highly automated environments on Google Cloud Platform while enabling modern application delivery and innovation initiatives. You will work in a collaborative, cross-functional environment alongside DevOps, architecture, security, and engineering teams to implement cloud-native solutions that support critical business operations. The position offers exposure to cutting-edge technologies, including Vertex AI, Agent Builder, Gemini Enterprise, Kubernetes, and advanced infrastructure automation practices. It is ideal for professionals passionate about cloud transformation, operational excellence, and emerging AI capabilities within complex enterprise environments.
Accountabilities:
- Design, implement, and maintain secure, scalable, and highly available cloud infrastructure on Google Cloud Platform (GCP).
- Build and deploy AI-enabled cloud solutions leveraging Vertex AI, Agent Builder, and Gemini Enterprise services.
- Manage containerized environments using Google Kubernetes Engine (GKE), Cloud Run, Docker, Helm, and related technologies.
- Develop reusable Infrastructure as Code (IaC) frameworks using Terraform, including modular architectures and automated deployment pipelines.
- Implement and manage cloud networking components such as VPCs, subnets, firewall policies, load balancers, DNS, VPN connectivity, and hybrid network integrations.
- Establish robust identity and security controls through IAM, RBAC, Cloud Identity, service accounts, and workload identity federation.
- Build and optimize CI/CD pipelines using platforms such as GitHub Actions, GitLab CI, or Azure DevOps.
- Monitor, troubleshoot, and continuously improve platform performance, reliability, observability, and disaster recovery capabilities.
- Collaborate closely with engineering, architecture, DevOps, and security teams to deliver enterprise-grade cloud solutions and support production operations.
Requirements
- Minimum of 5 years of experience in Cloud Engineering, Platform Engineering, DevOps, or Site Reliability Engineering roles.
- Strong hands-on expertise in designing and managing large-scale Google Cloud Platform environments in production.
- Advanced knowledge of GCP services including Vertex AI, Cloud Run, Cloud Functions, Compute Engine, Cloud Storage, Cloud SQL, Cloud Monitoring, and Cloud Logging.
- Proven experience with Infrastructure as Code practices using Terraform, including module development, state management, and infrastructure automation.
- Strong Kubernetes administration experience, particularly with GKE, Docker, Helm, ingress management, and container security best practices.
- Solid understanding of cloud networking concepts, including VPC architecture, hybrid connectivity, VPNs, DNS, Private Service Connect, and load balancing.
- Experience implementing cloud security frameworks, governance models, IAM strategies, and identity federation mechanisms.
- Demonstrated expertise in CI/CD design, automated deployments, and DevOps methodologies.
- Strong troubleshooting, incident management, root cause analysis, and performance optimization capabilities.
- Relevant Google Cloud certifications such as Professional Cloud Architect, Cloud DevOps Engineer, Cloud Security Engineer, Machine Learning Engineer, or Associate Cloud Engineer are highly desirable.
- Previous experience within healthcare, life sciences, or highly regulated environments is considered an advantage.
- Excellent communication skills and the ability to collaborate effectively within Agile and cross-functional teams.
Benefits
- Competitive compensation package aligned with experience and market standards.
- Opportunity to work with cutting-edge cloud and AI technologies, including Vertex AI and Gemini Enterprise.
- Exposure to large-scale enterprise cloud transformation initiatives.
- Collaborative and innovation-driven work environment.
- Career development opportunities, training support, and access to professional certification pathways.
- Flexible and modern ways of working within globally distributed teams.
- Inclusive culture that values diversity, continuous learning, and professional growth.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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