Lead/Architect Cloud Infrastructure

Egen; Hyderabad; On-site; INR 1,400,000 - 1,800,000; Full time

Job summary

Egen is seeking a Lead Cloud Infrastructure Engineer in Hyderabad, India. The ideal candidate will be responsible for designing and implementing scalable cloud infrastructure solutions while providing mentorship to other engineers.

The role requires extensive experience with Google Cloud and Infrastructure as Code using Terraform, along with strong knowledge of Kubernetes. The position offers an opportunity to engage directly with clients to deliver tailored solutions.

Qualifications

• 9+ years of experience in Infrastructure Engineering or a similar role.
• Deep knowledge of Infrastructure as Code (IaC) with Terraform.
• Strong experience with Kubernetes and related tools like Helm and ArgoCD.

Responsibilities

• Design, architect, and implement scalable infrastructure on Google Cloud.
• Develop and maintain Infrastructure as Code using Terraform.
• Engage with clients to understand their technical requirements and provide solutions.

Skills

Google Cloud

Infrastructure as Code (Terraform)

Kubernetes

CI/CD Pipelines

Problem-Solving

Client Relationship Management

Security and Compliance

Education

Bachelor's degree in Computer Science or related field

Tools

Git

Terraform

Kubernetes deployment tools (Helm, Kustomize)

Job description

We are seeking a highly skilled and experienced Lead Cloud Infrastructure Engineer 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 clients to understand their needs and deliver effective solutions.

Responsibilities

• Design, architect, and implement scalable, highly available, and secure infrastructure solutions on Google Cloud.
• Develop and maintain Infrastructure as Code (IaC) using Terraform for enterprise-scale maintainability and repeatability.
• Utilize Kubernetes deployment tools such as Helm and Kustomize together with GitOps tools like ArgoCD for container orchestration and management.
• Design and implement CI/CD pipelines using platforms like GitHub, GitLab, Bitbucket, Cloud Build, Harness, etc., with a focus on rolling deployments, canaries, and blue/green deployments.
• Ensure auditability and observability of pipeline states.
• Implement security best practices, audit, and compliance requirements within the infrastructure.
• Provide technical mentorship and training to engineering staff.
• Engage with clients to understand their technical and business requirements, and provide tailored solutions.
• Troubleshoot and resolve complex infrastructure issues.
• Lead and participate in incident response, troubleshooting, and root cause analysis for production issues.
• Manage incident lifecycle activities including triage, escalation, communication, and post-incident reviews.
• Monitor application and infrastructure health using observability platforms and monitoring tools.
• Define and maintain SLIs, SLOs, and error budgets to improve service reliability.

Qualifications

• 9+ years of experience in Infrastructure Engineering or a 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-technical stakeholders.
• Experience in technical mentoring, team-forming, and fostering self‑organization and ownership.
• Experience with client relationship management and project planning.
• Strong experience with incident management processes and major incident handling.
• Hands‑on experience with observability and monitoring.
• Knowledge of logging, metrics, tracing, and distributed observability concepts.
• Experience defining and managing SLIs, SLOs, and alerting strategies.

Certifications

• 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.

Education

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