Lead/Architect Cloud Infrastructure

Responsibilities:

Design, architect, and implement scalable, highly available, and secure infrastructure solutions, primarily 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/Kustomize in combination with GitOps tools such as 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 customers 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 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 customer 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.