Google Cloud Engineer

Senior Google Cloud Engineer (AI & Real-Time Analytics) Location: New York City, NY (Hybrid/On-site) Type: Contract Experience Level: Senior (7+ Years Total, 5+ Years GCP) Sesheng LLC is seeking a highly skilled Senior Google Cloud Engineer for a strategic contract engagement in New York City. This role is pivotal for an initiative centered on integrating advanced AI capabilities with high-velocity streaming data. You will be responsible for designing and implementing robust architectures on Google Cloud Platform (GCP) that support real-time feed analytics and sophisticated AI-driven insights. #GCP #GoogleCloudPlatform #AI #Dataflow #StreamingAnalytics #CloudEngineering Key Responsibilities • Architect & Deploy: Lead the design and deployment of scalable, secure, and highly available infrastructure on GCP. • AI Integration: Implement and optimize AI/ML workflows using Vertex AI, ensuring seamless integration with existing data pipelines. • Streaming Analytics: Develop and maintain real-time data processing pipelines using Google Cloud Dataflow, Pub/Sub, and BigQuery. • Real-Time Feed Management: Architect solutions for low-latency ingestion and analysis of live data feeds to drive immediate business intelligence. • Optimization: Perform deep-dive performance tuning and cost optimization for cloud-native AI and analytics services. • Collaboration: Work closely with data scientists and stakeholders to translate complex business requirements into technical cloud solutions. Required Qualifications • Overall Experience: Minimum of 7+ years in DevOps, Data Engineering, or Cloud Architecture. • GCP Expertise: At least 5 years of hands-on experience specifically within the Google Cloud ecosystem. • Streaming & Real-Time Analytics: Proven track record with streaming technologies (Apache Beam, Flink, or Dataflow) and managing real-time data feeds. • AI/ML Foundations: Practical experience deploying and scaling AI models within a cloud environment. • Technical Stack: Proficiency in Python, SQL, and Terraform (or equivalent IaC tools). • Education: Bachelor’s degree in Computer Science, Engineering, or a related technical field. Preferred Qualifications • GCP Certification: Professional Google Cloud Architect, Professional Data Engineer, or Professional Machine Learning Engineer certification is highly preferred. • Experience in the financial services or healthcare sectors dealing with high-frequency data. • Familiarity with containerization (GKE, Docker) and microservices architecture. #GCP #GoogleCloudPlatform #AI #Dataflow #StreamingAnalytics #CloudEngineering Sesheng LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status. We are committed to creating a diverse and inclusive environment for all contract professionals.