SugarShot

Compensation

Full Description

About the role SugarShot is seeking a Project Engineer who can design, build, and implement technology solutions for our clients. This is a hands-on engineering role spanning Microsoft and Mac environments, infrastructure and endpoint projects, and practical uses of AI and automation. You will turn client needs into workable technical designs, deliver the solution, and make sure it can be supported after launch. The right person combines strong systems engineering with curiosity and sound judgment. You can identify where automation or AI will improve a process, build the solution, test it against real workflows, and guide users and support teams through adoption. You are comfortable owning projects from discovery through implementation, documentation, and handoff. What you’ll do Lead technical discovery, assess current environments, define requirements, and design solutions that fit client needs, security standards, and supportability. Build and implement projects across Microsoft 365, Entra ID, Intune, Windows, Azure, macOS, Apple device management, and related identity, collaboration, and endpoint platforms. Execute migrations, deployments, integrations, configuration changes, and modernization projects with clear plans, validation, rollback considerations, and client communication. Design and implement AI-assisted workflows and automations that solve specific business or service-delivery problems. Evaluate tools, connect systems and data, build prototypes, and take successful solutions into production. Use scripting, APIs, and workflow tools to automate provisioning, onboarding and offboarding, device management, reporting, ticket workflows, and other repeatable processes. Apply appropriate access controls, data handling, human review, logging, and testing to AI and automation solutions, especially when working with client or operational data. Troubleshoot complex issues across Microsoft and Mac environments and work with project managers, service delivery, security, and client stakeholders to resolve dependencies. Produce clear technical documentation, implementation records, training, and handoffs so delivered solutions are sustainable for the client and our support teams. Recommend improvements based on project findings and help standardize reusable designs and automations across clients. What you bring Demonstrated experience designing and delivering client-facing IT projects, ideally in an MSP or other multi-client environment. Strong hands-on proficiency in both Microsoft and Mac ecosystems, including Windows and macOS administration, Microsoft 365, Entra ID, Intune, and at least one Apple management platform such as Addigy or Jamf. Experience with identity, endpoint management, security controls, migrations, and cloud or hybrid environments. Hands-on experience building automations using PowerShell, Python, APIs, Microsoft Power Automate, or comparable tools. You can explain what you built, how it works, and how you validated it. Deep practical understanding of AI tools and their capabilities and limits, with experience designing and implementing AI workflows or integrations that people use in production. Ability to translate business needs into technical requirements, weigh tradeoffs, manage implementation risk, and communicate clearly with both technical and nontechnical stakeholders. Strong documentation habits and the ability to work independently while coordinating with a project manager and other engineering teams. Helpful experience Microsoft Copilot, Copilot Studio, Azure AI services, or comparable enterprise AI platforms. Microsoft Graph, Apple Business Manager, Autopilot, and cross-platform endpoint deployment. PSA/RMM platforms such as ConnectWise Manage, NinjaOne, or related MSP tooling. Security, compliance, or governance requirements in regulated client environments. Relevant Microsoft or Apple certifications, or a portfolio of delivered engineering and automation work. What success looks like You deliver projects that meet the client’s goals, work reliably across their Microsoft and Mac environment, and transition cleanly into support. Your AI and automation work reduces manual effort or improves outcomes in measurable ways, with the safeguards and documentation needed to operate it confidently.