Cloud Architect, Google Cloud

Egen; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

Egen is seeking a highly skilled Cloud Architect to design, implement, and manage scalable cloud infrastructure. You will mentor engineers, engage with customers, and translate complex roadmaps into practical solutions.

You will drive enterprise cloud strategy focused on Google Cloud, with cross-cloud integration, DevSecOps, and governance across environments. The role demands deep hands-on experience with GKE, BigQuery, Vertex AI, and data security compliance.

Qualifications

• 12+ years in Infrastructure Engineering or similar role.
• Extensive experience with Google Cloud.
• Experience with Terraform IaC.
• Knowledge of Kubernetes and related tools.
• Strong security, audit, and compliance knowledge.
• Excellent problem-solving and analytical skills.
• Strong communication with technical and non-technical stakeholders.
• Experience mentoring and leading teams.
• Experience with customer relationships and project planning.
• Experience with hybrid/multi-cloud patterns.
• Experience with serverless and data platforms is a plus.

Responsibilities

• Act as trusted Technical Advisor to teams, customer executives, and technical leadership.
• Define multi-year cloud strategy for adoption, migration, and modernization.
• Establish global cloud governance frameworks and standards.
• Drive advanced DevOps practices and accountability models.
• Architect and lead large-scale Google Cloud solutions (GKE, Dataflow, BigQuery, Cloud Run, Vertex AI, Cloud Spanner).
• Design integration patterns for hybrid and multi-cloud systems with IAM.
• Define the DevSecOps and cloud security posture.
• Lead PoC initiatives for emerging tech (Vertex AI, Bedrock, serverless).
• Architect visibility strategy to monitor health and performance.
• Design automated governance guardrails for secure, compliant deployments.
• Mentor and grow Senior/Lead Cloud Engineers.
• Own and drive continuous improvement of cloud architecture delivery pipeline (GitOps).
• Collaborate with Data & AI Team and Engineering Leads to align with roadmaps.

Skills

Cloud architecture

DevOps practices

Mentoring

Stakeholder communication

Problem solving

Analytical skills

Leadership

GitOps

Automation

Vendor management

Education

Bachelor's degree in Computer Science

Kubernetes Certified Administrator

Google Cloud Certified Professional Cloud Architect

Tools

Terraform

Kubernetes

Helm

Kustomize

ArgoCD

Git

Job description

We are seeking a highly skilled and experienced Cloud Architect to join our dynamic team. The ideal candidate will be passionate about building and maintaining complex systems, with a holistic approach to architecture.You will play a key role in designing, implementing, and managing cloud infrastructure, ensuring scalability, availability, security, and optimal performance. You will also provide mentorship to other engineers, and engage with customers to understand their needs and deliver effective solutions.

• Act as trusted Technical Advisor to the teams, customer executives, and technical leadership, translating complex technical roadmaps into clear business value and risk assessments.
• Define the multi-year, enterprise-wide strategy for cloud adoption, migration, and modernization, with a strong focus on Google Cloud Services and startegic interoperability with the second cloud platform (Pref AWS).
• Establish and enforce global cloud governance frameworks, architectural standards, reference models, and reusable patterns for deployment, security, and operations across all environments.
• Drive advanced DevOps practices and accountability models.
• Architect and lead the implementation of complex, large-scale solutions on Google Cloud, with hands-on experience in leveraging services like GKE, Cloud Dataflow, BigQuery, Cloud Run, Vertex AI, and Cloud Spanner.
• Design and govern the integration patterns for hybrid and multi-cloud systems, focusing on low-latency, secure connectivity, and consistent Identity and Access Management (IAM) across platforms (e.g., using federated identity or centralized key management).
• Define the DevSecOps and cloud security posture, ensuring that designs meet stringent regulatory (e.g., data residency) and global compliance requirements (e.g., GDPR, HIPAA).
• Lead Proof-of-Concept (PoC) initiatives for emerging technologies like Generative AI (e.g., Google Vertex AI or AWS Bedrock), serverless computing, and define their eventual architecture and integration into the enterprise landscape.
• Architect a comprehensive visibility strategy to monitor system health and proactively resolve performance bottlenecks across complex cloud environments.
• Design automated governance guardrails that ensure every deployment is secure, compliant, and cost-optimized by default.
• Mentor, coach, and grow a group of Senior/Lead Cloud Engineers, fostering a culture of engineering excellence, ownership, and continuos learning.
• Own and drive continuous improvement of the cloud architecture delivery pipeline, promoting GitOps, and end-to-end automation across the development lifecycle.
• Collaborate with the Data & AI Team and Engineering Leads to ensure architectural decisions align with product roadmaps and business domain goals.

• 12+ years of experience in Infrastructure Engineering or similar role.
• Extensive experience with Google Cloud.
• Proven ability to architect for scale, availability, and high-performance workloads.
• Deep knowledge of Infrastructure as Code (IaC) with Terraform.
• Strong experience with Kubernetes and related tools (Helm, Kustomize, ArgoCD).
• Solid understanding of Git, branching models, CI/CD pipelines, and deployment strategies.
• Experience with security, audit, and compliance best practices.
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills, with the ability to engage with both technical and non-technicalstakeholders.
• Experience in technical mentoring, team-forming, and fostering self-organization and ownership.
• Experience with customer relationship management and project planning.

• Relevant certifications (e.g., Kubernetes Certified Administrator, Google Cloud Certified Professional Cloud Architect, etc.).
• Software development experience (e.g., Terraform, Python).
• Experience/Exposure with machine learning infrastructure

• Bachelor's degree in Computer Science, a related field, or equivalent experience.