Google Cloud Architect - Fulltime

Position: Google Cloud Lead Engineer | Architect

Location: NYC, NY - Remote

Duration: Fulltime

Job Description:

• Seeking an experienced Google Cloud Lead Engineer to drive enterprise scale cloud architecture, modernization, and operational excellence across our Google Cloud Platform (Google Cloud Platform) 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.

What You’ll Do:

• Cloud Architecture & Engineering
• Lead 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 Leadership

• Act as the technical lead for cross-team Google Cloud Platform 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 & Automation

• Build 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 & Compliance

• Ensure 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 Management

• Lead the implementation and optimization of Google Cloud Platform services, including Compute Engine, GKE, Cloud Run, BigQuery, Cloud SQL, Pub/Sub, and Cloud Storage.
• Account for any Google Cloud Platform implementation with MLOps and Agentic AI tools in Vertex AI
• Enhance observability through Cloud Monitoring and Logging and New Relic.
• Optimize performance, reliability, scalability, and cost efficiency across environments.

Cross Functional Collaboration

• Partner 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:

• Google Cloud Platform core services and networking
• Kubernetes (GKE) and containerization
• CI/CD pipelines and DevOps practices
• Infrastructure as Code (Terraform preferred)
• Python, Java, Go, or similar programming languages
• Experience working in Agile/DevOps environments.

Preferred Qualifications

• Google Cloud Platform 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 Google Cloud Platform and AWS.
• Knowledge of SRE, observability, and reliability engineering.