• Serve as a subject matter expert for our clients, addressing technical, developmental, or strategic IT needs • Manage problem identification, system architecture definition, software specification and design, testing, and deployment of open source solutions • Learn about new technologies and apply these concepts to customer needs • Adapt to changing customer requirements • Provide technical leadership to a team of consultants working on the client engagements with you • Respond to incidents, escalations, and exceptions in a professional manner - bringing together cross-functional teams from Red Hat's product, Product Engineering, Support, Professional Services, and Sales teams to meet the needs of our most demanding customers • Support with pre-sales activities, develop and review task lists, develop high level design architecture, lead Services discovery sessions to gather requirements

• Lead and technically guide a team of Cloud Infrastructure Engineers responsible for configuring, operating, and automating cloud environments across AWS, GCP, and Azure. • Define and execute the technical roadmap and architecture strategy for multi-cloud infrastructure and operations. • Oversee core cloud governance areas, including Identity and Access Management (IAM), perimeter security, account lifecycles, Infrastructure-as-Code ownership, and cloud cost optimization. • Design, implement, and document operating principles, architectural best practices, and complex troubleshooting solutions for cross-functional technology teams.

• Build a trusted advisory relationship with strategic accounts and engage with CIO/CTO/VP IT and Business leaders • 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. • 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. • 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. • 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. • 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. • 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. • Serve as the final technical escalation point for critical production issues, performing deep-root cause analysis on global-scale outages or performance bottlenecks. • Direct the cost-optimization strategy by designing high-efficiency architectures that balance performance requirements with long-term cloud spend sustainability. • Act as a force multiplier by mentoring other architects and engineering teams, fostering a culture of technical excellence and continuous learning. • 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.

• Cloud Landing Zone Design and Implementation: Design, build, and maintain secure cloud landing zones across AWS and Azure environments. Implement account and subscription structures that separate workload zones, including commercial workloads, government workloads, Corporate IT, security services, and restricted CUI/ITAR environments. Build baseline controls for new cloud accounts and subscriptions, including owner tagging, logging, security baselines, routing, encryption, key policies, break-glass review, and monitoring requirements. Support landing-zone acceptance criteria so new cloud environments are provisioned with required guardrails before workloads are deployed. • Identity, Access, and Privilege Controls: Implement federated access patterns using SAML/OIDC, IAM Identity Center, Azure Entra ID, or comparable identity platforms. Support least-privilege access, role lifecycle management, JIT/PIM/PAM workflows, service account controls, and removal of shared accounts. Help automate credential rotation, secrets management, service account governance, and break-glass monitoring. Partner with the Security team to ensure privileged cloud activity is authenticated, authorized, logged, reviewed, and tied to approved workflows. • Cloud Security Guardrails and Policy-as-Code: Implement preventative and detective cloud guardrails using tools such as AWS Organizations, SCPs, AWS Config, Azure Policy, Defender for Cloud, Wiz, Terraform, CloudFormation, Bicep, or similar platforms. Codify baseline configurations for logging, encryption, network controls, public exposure prevention, security-group rules, storage policies, KMS/key vault use, and workload tagging. Monitor and remediate drift from approved cloud security baselines. Support detection and automated response for public admin exposure, cloud policy drift, unapproved data movement, stale credentials, and overly permissive IAM roles. • Cloud Network and Private Access Integration: Partner with the Network team to implement secure cloud network patterns, including hub-and-spoke networking, transit gateways, vWAN, private endpoints, centralized DNS, private admin paths, and controlled egress. Ensure cloud workloads are not exposed through unnecessary public interfaces. Support routing and connectivity decisions for radar telemetry and other cloud workload environments. Implement cloud-side controls for SASE/ZTNA access, private application access, firewall inspection, flow logging, and route governance. • Telemetry, SIEM, and SOC Enablement: Integrate cloud logs and security signals into centralized SIEM/SOC workflows. Onboard and maintain telemetry sources such as CloudTrail, AWS Config, VPC Flow Logs, Azure Activity Logs, NSG Flow Logs, Entra ID logs, KMS/Key Vault events, storage access logs, CSPM findings, vulnerability findings, and workload security events. Partner with the Security team to build detection use cases for exposed cloud services, privileged access anomalies, credential hygiene drift, data boundary violations, and cloud configuration drift. Support retention tiers, immutable logging, audit trails, alert evidence, and compliance reporting requirements.