Senior Cloud Architect - Remote US

Responsibilities:

• Develop, implement and manage a multi-tenant Cloud strategy for our Managed Services offering.
• Develop cloud reference architectures for various deployment topologies.
• Document architectural guiding principles and standardize specifications for the managed services offering.
• Assess, design, implement, automate, and document security solutions and processes to meet compliance requirements.
• Partner with our Security Operations teams to help define and implement best practices around Cloud security.
• Work with key stakeholders to develop baseline cloud, container, and application security standards.
• Develop cost/utilization tracking and attribution processes for all Cloud Service Providers.
• Develop and maintain documentation for cloud security systems and procedures.
• Drive proof of concepts and proof of technology research while evaluating, selecting, and integrating best-of-breed/innovative technologies.
• Generate detailed documentation including conceptual design, logical design, physical design, bill of materials, as-built diagrams, knowledge transfer materials, FAQs, and transition to operations needs.
• Work as a subject matter expert to deliver projects from initiation to successful implementation.
• Lead C-Level / Executive briefing presentations, covering roadmap direction, technology consideration and fit with client needs in the context of business and IT objectives.
• Evangelize Cloud technology vision and strategy, solutions and best practices with senior management and other groups within the company.
• Provide multi-cloud thought leadership.
• Collaborate with the Operations team to remove technical roadblocks and provide guiding principles for operational efficiency. 

Requirements:

• 7+ years of experience as a Cloud or Solutions Architect and securing cloud solutions (IaaS/PaaS/SaaS).
• Bachelor's degree in computer science, systems engineering or another IT-related program.
• Minimum of 5 years’ experience in identifying security issues, risks, and developing risk mitigation plans to meet audit requirements, with a good understanding of cloud security threats.
• Deep experience with hyperscalers (e.g. AWS, Azure, GCP, etc), interconnect/ colocation centers.
• Solid experience with application architectures and effective understanding on how to move and/or refactor in the cloud.
• Experience communicating complex technical product and service architectures and their market potential at both the C-suite level and the deep technical expert level.
• Deep understanding of cloud best practices and formal certification in one of the big 3 cloud technologies (Azure Security Certification).
• Extensive experience in securing operating systems, firewalls, networks, systems, databases and application architectures.
• Knowledge of regulatory frameworks along with their best practices and their impact on design considerations (HIPAA, ISO, HITRUST, etc).  
• Experience with antivirus, IDS/IPS, WAFs, NSG, Express route, Application Firewalls.
• Proficient in networking and security.
• Advanced expertise of common cloud services (Databases, Containers, Compute, Storage, Serverless etc.).
• Experience in performance management of database engines (MySQL, MSSQL, Postgres, DynamoDB, MongoDB, ElasticSearch).
• Experience working with Identity protocols (PIM, OAuth/OpenID).
• Experience working with Threat modeling.
• Experience with data centers architecture with a strong knowledge of components such as, routing (protocols – ISIS, OSPF, BGP, PIM, MPLS, SND/Openflow) switching (technologies – TRILL, LACP, STP) , firewall, IPS, Server & server virtualizations (VMware, KVM, storage (Fiber Channel, ISCSI, NFS), Internet connectivity and IT business drivers.
• Should be highly responsive and have a customer-first mindset.
• Highly self-motivated and detail oriented with ability to prioritize and track multiple projects in parallel.
• Team-oriented and skilled in working within a collaborative environment. 
• Act as trusted advisor, with exceptional technical vision, knowledge and judgment in the multi-cloud, hybrid-IT space.
• Creative problem solving and innovation skills.
• Proven experience leading and mentoring others.
• Experience designing and deploying AI/ML pipelines or services (e.g., data ingestion, model training, inference APIs) on cloud platforms
• Excellent communication skills, both verbal and written with a track record of establishing and expanding knowledge bases..
• Strong interpersonal networking abilities within immediate organization and with external customers.