Google Cloud Lead Engineer/Architect
Job Title: Google Cloud Lead Engineer/Architect Location: Fully RemoteDuration: Full-TimeNote: CANDIDATES NEED TO HAVE GCP IMPLEMENTATION AND AGENTIC AI IMPLEMENTATION EXPERIENCEMust complete final interview on-siteClient will cover all travel expenses, including for the interviewJob Description:Seeking an experienced Google Cloud Lead Engineer to drive enterprise scale cloud architecture, modernization, and operational excellence across our Google Cloud Platform (GCP) environment. This senior technical leader will shape cloud strategy, establish engineering standards, and guide teams in building secure, scalable, and compliant cloud solutions.This role is ideal for candidates who combine hands on engineering depth with architectural leadership, strong communication skills, and a passion for enabling large scale transformation within a regulated industry.Cloud Architecture & EngineeringLead the design and implementation of enterprise grade solutions on Google Cloud Platform.Develop and maintain cloud reference architectures and engineering standards aligned with security and regulatory requirements.Architect resilient, scalable, secure, cloud native applications.Lead migration and modernization efforts, including re platforming and application transformation.Technical LeadershipAct as the technical lead for cross-team GCP projects.Conduct architecture reviews, provide the best engineering practices, and guide solution design.Provide mentorship to engineers working within application, infrastructure, and platform teams.Act as the escalation point for complex cloud and infrastructure issues.DevOps & AutomationBuild and optimize CI/CD pipelines using Harness CI/CD.Implement Infrastructure as Code (IaC) using Terraform.Automate deployment, provisioning, monitoring, and operational workflows.Drive adoption of Site Reliability Engineering (SRE) practices to reduce manual toil with templates for operational work and secure release practices.Security, Governance & ComplianceEnsure all solutions meet standards for security, privacy, and regulatory compliance.Implement IAM, network security, encryption, and key management best practices.Partner with enterprise security, risk, and compliance teams to ensure proposed technical solutions match with existing enterprise policies and guardrails.Establish and enforce guardrails for cost management and governance.Platform & Services ManagementLead the implementation and optimization of GCP services, including Compute Engine, GKE, Cloud Run, BigQuery, Cloud SQL, Pub/Sub, and Cloud Storage.Account for any GCP implementation with MLOps and Agentic AI tools in Vertex AIEnhance observability through Cloud Monitoring and Logging and New Relic.Optimize performance, reliability, scalability, and cost efficiency across environments.Cross Functional CollaborationPartner with product teams, architects, and business stakeholders to translate requirements into scalable cloud solutions.Contribute to cloud roadmaps, modernization strategies, and technology evaluations.Support proofs of concept and the adoption of emerging cloud capabilities.What You’ll Bring:A bachelor’s degree in computer science, Engineering, or a related discipline, or equivalent relevant experience.8+ years of software, cloud, or infrastructure engineering experience.4+ years of hands on experience with Google Cloud Platform.Proven experience designing cloud native and hybrid architectures.Expertise in:GCP core services and networkingKubernetes (GKE) and containerizationCI/CD pipelines and DevOps practicesInfrastructure as Code (Terraform preferred)Python, Java, Go, or similar programming languagesExperience working in Agile/DevOps environments.Preferred QualificationsGCP Professional certifications (Cloud Architect, DevOps Engineer, or Data Engineer).Experience in regulated industries such as insurance, financial services, or healthcare.Strong background in security, identity management, and compliance frameworks.Experience working in hybrid or multi cloud environments such as integrating services and resources across GCP and AWS.Knowledge of SRE, observability, and reliability engineering.