
501 - 1000 employees
Founded 2000
🤖 Artificial Intelligence
Artificial Intelligence • Healthcare • Public Sector
Egen is a company that specializes in engineering innovative solutions using platforms, data, and generative AI. They focus on harnessing the potential of data to empower organizations and individuals, providing services across various sectors including communications, healthcare, and public sector solutions. Their customizable platforms address critical challenges in urban management, customer engagement, clinical care, and operational excellence, aiming to drive impactful outcomes for clients.
🔥 0 minutes ago
🇺🇸 United States – Remote
💵 $207.1k - $243.7k / year
⏰ Full Time
🔴 Lead
☁️ Cloud Engineer
🦅 H1B Visa Sponsor
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501 - 1000 employees
Founded 2000
🤖 Artificial Intelligence
Artificial Intelligence • Healthcare • Public Sector
Egen is a company that specializes in engineering innovative solutions using platforms, data, and generative AI. They focus on harnessing the potential of data to empower organizations and individuals, providing services across various sectors including communications, healthcare, and public sector solutions. Their customizable platforms address critical challenges in urban management, customer engagement, clinical care, and operational excellence, aiming to drive impactful outcomes for clients.
• Act as a trusted technical advisor to the teams, customer executives, and technical leadership, translating complex technical roadmaps into clear business value and risk assessments • Define the multi-year, enterprise-wide strategy for cloud adoption, migration, and modernization, with a strong focus on Google Cloud services and strategic interoperability with the second cloud platform (Pref AWS) • Establish and enforce global cloud governance frameworks, architectural standards, reference models, and reusable patterns for deployment, security, and operations across all environments • Drive advanced DevOps practices and accountability models • Oversee cloud cost optimization initiatives, and establish technical guardrails to ensure maximum ROI across the multi-cloud footprint. • Architect and lead the implementation of complex, large-scale solutions on Google Cloud, with hands-on experience in leveraging services like GKE, Cloud Dataflow, BigQuery, Cloud Run, Vertex AI, and Cloud Spanner • Design and govern the integration patterns for hybrid and multi-cloud systems, focusing on low-latency, secure connectivity, and consistent Identity and Access Management (IAM) across platforms (e.g., using federated identity or centralized key management) • Define the DevSecOps and cloud security posture, ensuring that designs meet stringent regulatory (e.g., data residency) and global compliance requirements (e.g., GDPR, HIPAA) • Lead Proof-of-Concept (PoC) initiatives for emerging technologies like Generative AI (e.g., Google Vertex AI or AWS Bedrock), serverless computing, and define their eventual architecture and integration into the enterprise landscape • Architect a comprehensive visibility strategy to monitor system health and proactively resolve performance bottlenecks across complex cloud environments • Design automated governance guardrails that ensure every deployment is secure, compliant, and cost-optimized by default. • Mentor, coach, and grow a group of Senior/Lead Cloud Engineers, fostering a culture of engineering excellence, ownership, and continuous learning • Own and drive continuous improvement of the cloud architecture delivery pipeline, promoting GitOps and end-to-end automation across the development lifecycle • Collaborate with the Data & AI Team and Engineering Leads to ensure architectural decisions align with product roadmaps and business domain goals • Elevate the organization’s technical brand by authoring engineering blogs and whitepapers, and representing the company as a speaker at industry conferences and meetups.
• Experience: At least 5-10 years in Cloud Architecture leadership roles managing enterprise-scale transformations • Google Cloud as a primary platform: Mastery of Google Cloud services, networking, and security • Second Cloud: Deep architectural experience in AWS (e.g., EC2, Lambda, S3, RDS, EKS) or Azure • Certifications: Google Cloud Professional Cloud Architect (Preferred), Professional/Expert-level certification from the secondary cloud provider (e.g., AWS Certified Solutions Architect - Professional) • Infrastructure as Code (IaC) using Terraform (including multi-cloud modules) • At least one programming language (Java/Python)
• Comprehensive Health Insurance • Paid Leave (Vacation/PTO) • Paid Holidays • Sick Leave • Parental Leave • Bereavement Leave • 401 (k) Employer Match • Employee Referral Bonuses
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