Edge Architect - Specialist Master

Position Overview

Join our AI & Engineering team in transforming technology platforms, driving innovation, and making a significant impact on our clients' success. As an Edge Architect and Manager/Specialist Master at Deloitte Consulting, you will deliver high quality end-to-end solutions for edge infrastructure – from design and architecture to provisioning and operations – while mentoring a team of engineers and developing new solution capabilities. This role is critical in redesigning operations, enhancing financial performance, accelerating digital ventures, and fueling growth through innovation.

Key Responsibilities

• Edge Design & Architecture: Define edge system specifications, logical and deployment architectures, and integration patterns for distributed environments.
• Edge Dimensioning & BOM: Perform resource sizing, capacity planning, and generate detailed Bill of Materials (BOM) for edge infrastructure components.
• Edge Configuration & Setup: Configure, provision, and onboard edge devices and platforms, ensuring compliance with network and security standards.
• Edge Management & Automation: Implement automated workflows; deploy monitoring, observability, and AI/ML-driven management tools for real-time system health and predictive analytics.
• Application Deployment: Orchestrate and manage containerized and non-containerized application deployments across edge nodes, ensuring high availability and performance.
• Edge Security: Enforce physical and data security controls including device hardening, encryption, access management, and continuous threat monitoring.
• Collaboration: Work closely with cross-functional teams including developers, security specialists, and network engineers.
• Troubleshooting: Diagnose and resolve complex technical issues.
• Documentation: Maintain comprehensive documentation of edge infrastructure designs and processes.
• Mentorship: Train and mentor junior team members on edge and cloud computing technologies and best practices.

Required Qualifications

• 8+ years’ experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Proven expertise in deploying, configuring, and managing edge orchestration platforms (e.g., AWS Greengrass, AWS Wavelength, AWS Outposts, Google Distributed Cloud Edge, Azure IoT Edge).
• Experience integrating and operating third-party edge management solutions (e.g., HPE GreenLake, Zededa) for distributed environments.
• Ability to automate application deployment, lifecycle management, and policy enforcement across heterogeneous edge nodes.
• In-depth knowledge of edge hardware architecture including component selection, system sizing, and network topology design using CSP-provided or vendor-specific hardware (e.g., Dell EMC, HPE, Lenovo).
• Hands-on experience with installation, configuration, and onboarding of edge devices, including BIOS/firmware setup and hardware security module (HSM) integration.
• Familiarity with hardware provisioning tools and remote management interfaces (e.g., iDRAC, iLO) along with best practices for edge device hardening.
• Extensive experience with Infrastructure as Code tools such as Terraform or similar.
• Ability to travel up to 50% based on project and client requirements.
• Must be legally authorized to work in the United States without employer sponsorship.
• Bachelor’s degree.

Preferred Qualifications

• Strong analytical and troubleshooting skills to address client-specific challenges.
• Ability to adapt quickly to changing client requirements and emerging technologies.
• Demonstrated leadership in managing client projects, ensuring timely delivery and satisfaction.
• Understanding of business processes and ability to align technical solutions with business goals.
• Familiarity with virtualization technologies like VMware, Hyper-V, or KVM.
• Knowledge of identity and access management (IAM), encryption, and compliance standards.
• Skilled in CI/CD pipelines using tools like Jenkins, GitLab/GitHub, or Harness.
• Experience with monitoring and logging tools such as Stackdriver, Prometheus, Dynatrace, Datadog, or ELK.

Benefits & Perks

• Compensation: Estimated wage range of $151,800 to $253,000, based on skill sets, experience, and other factors. Participation in a discretionary annual incentive program may also be available.
• For applicants requiring accommodation, please visit: Deloitte Assistance for Disabled Applicants