
501 - 1000 employees
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
66degrees is a consulting and technology company that specializes in transforming customer experiences and business operations by leveraging innovative cloud, data, and AI solutions. They offer a broad spectrum of services including AI and machine learning, data platform modernization, cloud engineering, and managed solutions. By assisting businesses in modernizing infrastructure and applications, 66degrees enables data-driven decision-making and enhanced productivity. The company focuses on creating AI-powered enterprises and improving stakeholder collaboration and customer engagement across various industries such as retail, financial services, healthcare, and more.
🕒 Yesterday
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501 - 1000 employees
🏥 Healthcare
📦 Logistics
📣 Marketing
Healthcare • Logistics • Marketing
66degrees is a consulting and technology company that specializes in transforming customer experiences and business operations by leveraging innovative cloud, data, and AI solutions. They offer a broad spectrum of services including AI and machine learning, data platform modernization, cloud engineering, and managed solutions. By assisting businesses in modernizing infrastructure and applications, 66degrees enables data-driven decision-making and enhanced productivity. The company focuses on creating AI-powered enterprises and improving stakeholder collaboration and customer engagement across various industries such as retail, financial services, healthcare, and more.
• Build a trusted advisory relationship with strategic accounts and engage with CIO/CTO/VP IT and Business leaders • Architectural Strategy & Governance • Design Global Scale Systems: Lead the end-to-end architectural design of multi-region, highly available cloud ecosystems that support millions of concurrent users and petabyte-scale data processing. • Standardize Infrastructure as Code (IaC): Establish and enforce enterprise-wide standards for IaC and config management to ensure consistent, repeatable, and audited deployments across all environments. • Multi-Cloud & Hybrid Orchestration: Architect complex connectivity and workload portability strategies using Anthos, Private Service Connect, and Cloud Interconnects to bridge legacy on-premises systems with modern cloud services. • Advanced AI & Data Innovation • Operationalize Generative AI: Design production-grade RAG (Retrieval-Augmented Generation) architectures, ensuring LLMs are secure, reliably operate within capacity constraints and quotas, monitor and control token costs, and implement Enterprise security grade guardrails. • End-to-End MLOps: Scale the implementation of automated machine learning pipelines—from ingestion to model serving—using Vertex AI (or self-hosted oss models) to reduce the time-to-market for predictive insights. • Security, Risk & Compliance • Zero-Trust Leadership: Design and lead the implementation of comprehensive security frameworks including BeyondCorp, VPC Service Controls, and advanced Identity Management (IAM) to protect sensitive workloads against sophisticated threats. • Regulatory Engineering: Architect technical controls that automate compliance for global standards (e.g., SOC2, HIPAA, GDPR), ensuring the platform is 'secure by design' and audit-ready at all times. • Technical Leadership & Operational Excellence • Complex Problem Resolution: Serve as the final technical escalation point for critical production issues, performing deep-root cause analysis on global-scale outages or performance bottlenecks. • Financial Optimization (FinOps): Direct the cost-optimization strategy by designing high-efficiency architectures that balance performance requirements with long-term cloud spend sustainability. • Cross-Functional Mentorship: Act as a force multiplier by mentoring other architects and engineering teams, fostering a culture of technical excellence and continuous learning. • Lead Consultant • Act as a technical subject matter expert, particularly regarding the Google Cloud ecosystem for business users, providing clear and concise explanations of complex concepts. • Identify customer priorities, technical objections, and design strategies encompassing the Google ecosystem to deliver business growth and resolve blockers. • Lead requirements gathering and project scoping. • Solution design, problem-solving, and architecture diagramming. • Provide domain expertise around public cloud and enterprise technology, and effectively promote Google Cloud with clients, at conferences, and online. • Provide technical expertise to the team on continuous integration/continuous delivery, infrastructure, monitoring, alerting, and security. • Provide recommendations on integration strategies, enterprise architectures, platforms, and application infrastructure needed to implement a complete solution for clients. • Assist in delivering technical solutions to meet customer functional needs and improve service reliability, including CI/CD pipelines and infrastructure builds/migrations. • Provide Engineer-to-Engineer and Architect-to-Engineer support, including whiteboard sessions and informal Q&A. • Travel to customer sites, conferences, and other related events as required.
• 5+ years of GCP experience is a must. Experience in other clouds is beneficial. • Proven experience in building, architecting, designing, and implementing globally distributed cloud-based systems, with a strong understanding of API-first design principles and API management platforms. • Extensive experience with security (zero trust) and networking in cloud environments • Capable of advising and implementing CI/CD practices to clients using tools such as GitHub, GitLab, Cloud Build, and Cloud Deploy and concepts such as GitOps and GitFlow. • Experience in containerizing workloads using Kubernetes, Docker, Helm, and Artifact Registry. • Knowledge of technology solutions and ability to learn emerging technologies, methodologies, and solutions in the Cloud/IT technology space. • Ability to work cross-functionally, engage and influence audiences. • Excellent organizational skills and customer-facing communication. • Proficiency in documentation and knowledge transfer using remote meetings, written documents, and technical diagrams slide decks. • Experience in implementing hybrid connectivity using VPN or Cloud Interconnect is a plus. • GCP Credentials: Professional Cloud Architect Certification plus any other Professional Cert (Data Engineer preferred) or L400 Generative AI skill badge. Additional certifications Kubernetes (CKA, CKS), or Terraform strongly recommended • A Bachelor's degree in Electronics Engineering, Data Science, Information Technology, Business Intelligence, Computer Science, or a related field.
• Health insurance • Remote work options
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