• Project Delivery (Primary focus) • Microsoft Cloud Implementation: Configure and deploy Microsoft 365, Azure, and Azure Government solutions according to project scope. • Identity Migrations: Execute migrations from on-premises Active Directory to Entra ID and Microsoft 365, including hybrid identity configurations, Entra Connect deployments, and similar cloud tenant-to-tenant migrations. • GCC High & CMMC-Aligned Deployments: Execute implementations in GCC High tenants following security baselines aligned to CMMC Level 2 and NIST 800-171. • Automation & Scripting: Develop and maintain automation to streamline deployments and recurring tasks. • Technical Documentation: Create as-built documentation, configuration guides, and runbooks for each project. • Remediation Execution: Implement remediation tasks identified during compliance gap analyses. • Client Handoffs & Training: Conduct knowledge transfer sessions with client IT teams at project close. • Recurring Cloud Administration (Secondary focus): Provide hands-on support (~5–10 hours/week) for our growing managed services. • Incident Support: Support escalations from colleagues on complex issues where you have expertise.

• Provides critical electrical and mechanical support for AR and related Rx manufacturing equipment and systems to our wholesale and retail customers for both scheduled and unscheduled activities. • Support is provided remotely and on site. • By leveraging their electrical and mechanical knowledge of current and legacy AR systems, as well as sound troubleshooting and problem-solving methodology, deliver services and solve issues in a timely, accurate and professional manner to maximize customer uptime. • Perform preventative maintenance and repair of AR / HC and related equipment in customer environments. • Perform hands-on work in a production environment. • Perform and guide calibration process according to company requirements. • Evaluate equipment performance and process capabilities. • Manage assets and plan asset upgrades. • Refurbish mechanical componentry for reuse (i.e., pumps, valves, tooling, etc.) • Manage self and work assignments. • Ensure equipment is ready for production in a timely manner. • Reinforce compliance to company approved methods and quality standards. • Work closely with management, including lab manager and production manager, to achieve results needed to satisfy customer demand. • Identify and resolve problems in a timely manner. • Provide day to day phone support to Zeiss and third-party labs. • Provide emergency on-site support as needed. • Provide weekly reports in a timely manner. • Set up standard test apparatus or devices test equipment and circuitry to conduct functional, operational, environmental and life tests to evaluate performance and reliability.

• The Co-Simulation Engineer III will have the opportunity to work with and collaborate with senior design staff to develop multi-domain co-simulation and digital twin capabilities for data center design and construction. • The role also includes computational fluid dynamics (CFD) modeling of the data center and its associated internal and external environments. • This person will work as part of the Engineering Team and interact closely with the Project Management Team to produce hydraulic network models, CFD models, digital twin applications, and QC design specifications through engineering modeling. • The Co-Simulation Engineer III will receive limited direction on day-to-day work and general instruction on new projects or assignments. • Will execute and assist project leadership on projects of complex scope. • Will work independently or under limited supervision. • The Co-Simulation Engineer III will communicate and operate in line with organizational goals and values, as well as departmental objectives.

• A hands-on engineering role on the Privacy Engineering team within GRC & Security, focused on building real controls—not policy-only work • Work on privacy engineering problems where product and platform decisions matter: user-facing flows, APIs, services, and supporting infrastructure that handles customer data • Build practical privacy guardrails across the stack (data minimization, purpose limitation, access boundaries, consent-aware collection, and safe defaults) • Improve retention/deletion workflows and logging/telemetry hygiene so privacy remains strong as systems evolve • Help enable privacy-safe AI-assisted features by implementing technical guardrails that reduce data exposure and improve data handling discipline • Collaborate across teams to make privacy the default through patterns, templates, guardrails