Solutions Architect

We are seeking a highly experienced Lead DevOps Engineer / Cloud Solution Architect with deep expertise in Google Cloud Platform (GCP) and modern cloud-native technologies. This is a hands-on technical leadership role that combines solution design with direct implementation. The individual will design secure, scalable, resilient, and cost-effective cloud solutions; build critical platform components and automation; and lead engineers through delivery and production support.

The role requires practical expertise in GCP networking, identity and access management, infrastructure as code, CI/CD, container orchestration, serverless technologies, observability, data services, and generative AI platforms. The candidate will translate business and nonfunctional requirements into implementable solution designs, validate decisions through prototypes and hands-on engineering, develop reusable patterns, review technical deliverables, and troubleshoot complex production issues. The role will partner with application, data, security, architecture, and operations teams to ensure solutions meet security, compliance, reliability, performance, operational, and cost objectives. Solid AWS experience is expected; Azure experience is preferred but not required.

Qualifications

Required Experience

• 12+ years of progressive experience in DevOps, Cloud Engineering, Platform Engineering, or SRE, with substantial hands‑on leadership experience.
• Deep GCP Expertise: Multi‑project landing zones, Shared VPC, PSC, Serverless VPC Access, IAM, Workload Identity, GKE, Cloud Run, and Cloud Functions.
• Data & Analytics Support: Hands‑on experience with Dataproc, Dataform, Cloud SQL, and BigQuery.
• Tooling & IaC: Advanced experience with Jenkins, GitHub, GitOps, Terraform, Docker, and Kubernetes.
• Scripting: Strong, production‑ready Python and Bash scripting skills.
• Hands‑on Mindset: A strong desire and ability to build, test, troubleshoot, and support critical solutions directly—rather than operating solely in an advisory capacity.
• Solid working experience with AWS architecture (IAM, VPC, EKS, Lambda).

Preferred Qualifications

• Hands‑on experience with Vertex AI, Gemini Agent Platform , and GenAI operationalization.
• Knowledge of the Google Cloud Well‑Architected Framework .
• Certifications:
• GCP Professional Cloud Architect (Strongly Preferred)
• Kubernetes Certifications (CKA, CKAD, CKS)
• Secondary experience with Microsoft Azure architecture is a plus.