Jobs at 66degrees

Designs and leads Azure cloud transformation solutions for strategic clients. Responsibilities include requirements gathering, architecture and solution design, Azure landing zones, governance, identity, networking, security, monitoring, DevSecOps, Kubernetes platforms, hybrid connectivity, migration roadmaps, and modernization strategies. The role also leads workshops and project meetings, advises management, builds customer relationships, promotes Azure expertise, mentors engineers, creates technical documentation, and travels to customer sites and industry events as needed.

Designs and implements secure, reliable GCP environments and enterprise cloud architectures for strategic clients. Responsibilities include advisory relationships, requirements gathering, project scoping, solution design, architecture diagrams, cloud migration roadmaps, hybrid connectivity, CI/CD guidance, Kubernetes containerization, and client presentations. The role leads project meetings, promotes Google Cloud solutions, influences stakeholders, and travels to customer sites and industry events as needed.

Provides high-level administrative support to the executive leadership team, primarily the President. Responsibilities include calendar and travel management, board meeting and event coordination, office operations, supplies and equipment, vendor relationships, confidential communications, budget oversight, and process improvement. The role supports the Chicago office, requires US working hours, and may include evening meetings.

Designs and leads Azure cloud transformation solutions for enterprise clients. Responsibilities include requirements gathering, architecture design, Azure landing zones, governance, identity, networking, security, monitoring, DevSecOps, Kubernetes, hybrid connectivity, migration roadmaps, and implementation planning. The role builds trusted client relationships, leads workshops and project meetings, advises management, promotes Azure, mentors engineers, and creates reusable cloud patterns and documentation.

Leads data science and machine learning architecture engagements, analyzing diverse datasets and deploying models using cloud and big data technologies. Designs scalable, cost-effective solutions, including generative AI applications, and provides technical leadership across client delivery and presales activities. Creates standards, accelerators, reports, and presentations; mentors junior staff; and communicates technical concepts to business stakeholders.