Role Description Die Verantwortung der Abteilung Platform Services mit seinen Teams Infrastructure as a Service, Storage & Backup Operations, Network Operations, Security Operations und Platform as a Service liegt in dem reibungslosen Betrieb aller Plattformen unserer Kunden und der noris network AG. Das Team Infrastructure as a Service verantwortet hierbei den Betrieb der Virtualisierungsumgebungen in unseren Rechenzentren. - Betrieb von VMware-Umgebungen inklusive den VMware Aria Suite Komponenten sowie den folgenden VMware Produkten: - VMware Cloud Director - VMware NSX-T - VMware vSAN - VMware Avi Load Balancer - Regelmäßiges Lifecycle-Management (Update bzw. Upgrade) der VMware-Umgebungen - Störungsanalyse sowie Fehlerbehebung mithilfe der eingesetzten VMware Aria Suite Produkte im Hotline- und Schichtbetrieb im 2nd- bzw. 3-Level-Bereich - Automatisierung von wiederkehrenden Aufgaben - Eigenverantwortliche Ticketbearbeitung in gängigen Tools wie OTRS und ServiceNow Qualifications - Fundierte Kenntnisse im Betrieb von mittleren und großen VMware-Umgebungen - Gute Kenntnisse mit den VMware Aria Suite Komponenten - Idealerweise gute Kenntnisse im Bereich NSX-T und vSAN - Sehr gute Deutsch- und Englischkenntnisse in Wort und Schrift - Kommunikations- und Teamfähigkeit - Flexibilität und Selbstständigkeit zeichnen deine Arbeitsweise aus Benefits - Unbefristeter Arbeitsvertrag und flexible Arbeitszeiten - Ruhezeitenausgleich auf Dein Stundenkonto - Arbeiten an verschiedenen Standorten möglich (z.B. Nürnberg, Aschheim, Berlin) oder auch zu 100% Remote - Hochwertiges Equipment: Laptop und Firmenhandy auch zur privaten Nutzung - Individuelle Förderung und Weiterentwicklung durch Inhouse-Trainings und externe Schulungen - Kinderbetreuungskostenzuschuss (pro Monat/Kind) und Corporate Benefits - Attraktive Firmenevents (inkl. Reisekostenübernahme), kollegiales und wertschätzendes Arbeitsumfeld sowie Duz-Kultur ab dem ersten Tag - Gesundheitsmanagement (z.B. kostenlose Massagen inhouse), Jobrad Leasing und betriebliche Altersvorsorge mit Zuschuss - Welcome Day, direkter Ansprechpartner (m/w/d) und strukturierte Einarbeitungsphase - Getränke for free (auch Softdrinks) und frisches Obst an den Standorten

Role Description As a Research Systems Analyst II at Cleveland Clinic, you will support the implementation of the Research Operating Systems, including Advarra, by assisting with: - System configuration, maintenance, updates, reporting, and automation. - Completing routine support tasks and assigned project work while contributing to enterprise research objectives. - Assisting with project documentation, operational and business requirements, and the identification of appropriate technology solutions. - Helping define task-level resource needs and supporting task planning. - Contributing to general project communications. - Providing input into solution development to enhance system performance and research operations. A caregiver in this role works remotely from 8:00 a.m. -- 5:00 p.m. To be considered for this position, caregivers must reside in Ohio or Florida. A caregiver who excels in this role will: - Complete routine support and designated project assignments. - Provide input to develop solutions. - Assist with project documentation, operational and business objectives, best technology capabilities, task level resource requirements, task plans, and general communications. - Develop process flow charts and report on project status. - Support the development of information system requirements. - Convert research protocols, documents, and system records. - Support system transitions (Encore / Huron Research Suite context mentioned). Qualifications - Associate’s degree in information technology, computer science or a related field and three years of experience in Information Technology with experience in applications development and support, end-user training, or equivalent experience in an operational or financial role utilizing the systems or data generated by the systems supported by this position. - OR a High School Diploma/GED and five years of experience. - OR a Bachelor’s degree and one year of experience. - Experience with System conversions/migrations. - Experience managing large volumes of information or records. Requirements - Microsoft, CompTIA or equivalent certification. - For Information Technology Division caregivers, ITIL Foundations certification is preferred. - Experience with Power BI and reporting tools for data visualization and dashboard development. - Exposure to healthcare or research systems and workflows. - Experience supporting cross-functional system initiatives and collaborating across teams. - Knowledge of data conversion processes, including data cleaning, transformation, and migration activities. Physical Requirements - Ability to perform work in a stationary position for extended periods. - Ability to travel throughout the hospital system. - Ability to operate a computer and other office equipment. - Ability to communicate and exchange accurate information. - In some locations, ability to move up to 20 lbs. Personal Protective Equipment Follows standard precautions using personal protective equipment as required.

Role Description Assistant Faculty are an essential part of creating the optimal learning environment. The University relies on assistant faculty to support instructional faculty by interacting with students in online classrooms that have many students. The successful Assistant Faculty is student focused and able to create and implement various methods of communication and supplemental instruction to support student success. This position works a defined number of hours per week and reports into key Faculty roles within the designated team. We are currently in search of a passionate part-time Assistant Faculty (25 hours/week) to support our online undergraduate level Computer Information Systems classes for the upcoming summer quarter starting July 6, 2026. NOTE: Applications must include copies of unofficial transcripts to receive full consideration. Essential Duties & Responsibilities: - Analyze student activity within discussions and assessments and respond appropriately based upon training and input from the lead instructor. - Assist in managing student communications. - Escalate unique issues to the lead instructor. - Assist with grading and providing feedback. - Monitor students’ engagement levels and provide recommendations on the best approach on how to increase engagement. - Assist the lead instructor as needed or directed, providing tutoring, live sessions, or other student support. - Assist the lead instructor as needed or directed with student outreach. - Assist the lead instructor as needed in developing supplemental support documents, videos, job aids. - Other duties as assigned. Qualifications - Excellent written and verbal communication skills and ability to interact effectively with faculty, coaches, and learners. - Demonstrated effective time management skills. - Excellent relationship-building, customer service, and problem resolution skills. - Demonstrated strong attention to detail, initiative and follow-through. - Experience working with a diversity of learning styles. - Comfortable using technology to facilitate learning. Requirements - Professional experience in the field of study is preferred and may be required dependent on course credentialing requirements. - Previous teaching experience is preferred and may be required dependent on course credentialing requirements. - Online teaching experience is preferred and may be required dependent on course credentialing requirements. - From a regionally accredited institution; Masters in a Computer Science concentration is required, i.e. Computer Science, Information Technology, Information Systems. - CompTIA A+ and CompTIA Network+ certifications are required. - In lieu of the required certifications, equivalent TestOut certifications will be accepted. - Access information using a computer. - Effectively communicate, both up and down the management chain. - Effectively cope with stressful situations. - Good attendance. - Strong organizational and time management skills. - Strong mental acuity. - Must be able to lift 25 lbs. Work Location Details - Many of our positions, including this role, are designed to be remote "home office" settings. - Employees working out of a home office are responsible for providing appropriate and safe office space, office furniture and organization, communication tools, and related items. - Arranging for high-speed internet connection, printer and a dedicated phone line for business use. - The environment must be free from distractions and enable a highly productive and professional work environment. - As with on-site positions, our off-site positions require that the majority of the time will be spent using a telephone, PC and monitors. - There are minimal lifting requirements unless otherwise noted. - Applicants must be authorized to work in the United States. Visa sponsorship is not available for this position. Compensation - $19.00 is the expected starting pay for this position. - The expected salary range for this position is $18.25 - $27.75 - Hourly. Benefits - SEI offers a comprehensive package of benefits to employees scheduled 30 hours or more per week. - In addition to medical, dental, vision, life and disability plans, SEI employees may take advantage of well-being incentives, parental leave, paid time off, certain paid holidays, tax saving accounts (FSA, HSA), 401(k) retirement benefit, Employee Stock Purchase Plan, tuition assistance as well as entertainment and retail discounts. - Non-exempt employees are eligible for overtime pay, if applicable. Company Description SEI is an equal opportunity employer committed to fostering an inclusive and collaborative culture where individuals can grow their careers and contribute fully. We strive to attract talent with broad experiences, skills and perspectives. We welcome applications from all.

• Own and scale the AI compute and deployment platform • Own and evolve our containerized application deployment platform and related systems for AI workloads, encompassing general process and job orchestration (e.g. Kubernetes) — cluster operations, node lifecycle, autoscaling (Karpenter), storage (EBS CSI), and workload isolation across staging and production. • Build and maintain GitOps-based deployment pipelines (Helm/Kustomize overlays, environment promotion) that let teams ship AI services safely and repeatably. • Design ephemeral/preview environments, feature-branched deployments, and nightly release pipelines so teams can validate AI changes in production-like conditions before release. • Drive efficiency and cost management across compute, autoscaling, and inference infrastructure. • Operate and scale inference infrastructure and a multi-provider LLM AI gateway (e.g. Bedrock, Vertex, and other providers) — including credentials, rate limits, and failover. • Build reliable serving patterns for LLM-powered workflows: routing, grounding, tool execution, and context assembly at the platform level. • Create reusable infrastructure abstractions and contracts that standardize how AI services are deployed, configured, and consumed across the company. • Own the LLM/AI observability and tracing stack — provisioning and scaling systems like Langfuse, Datadog (dd-trace), OpenTelemetry tracing (OTLP), and the underlying datastores (e.g. ClickHouse) — so AI behavior is auditable and debuggable in production. • Build analytics and monitoring pipelines that surface latency, error, quality, and regression signals to engineering and clinical stakeholders. • Define SLOs, alerting, on-call runbooks, and incident response for AI infrastructure; lead troubleshooting and continuously raise platform reliability. • Own and improve the monorepo build system and CI/CD pipelines for AI workloads — including eval workflows, Docker image builds, automated PR checks and convention enforcement, and cross-platform test execution. • Own shared infrastructure tooling, CLIs, and IaC modules (Terraform, Scalr) that AI and product engineers use daily. • Identify and eliminate platform bottlenecks — reducing CI/CD cycle times, build latency, and deployment friction — to improve developer velocity across the Applied AI organization. • Build IAM, OIDC, and secrets management as first-class infrastructure — scoped, least-privilege roles, write-only secret rotation, and cross-account access audits. • Encode security-by-default, scope boundaries, and access controls into the platform so AI services are HIPAA-compliant and privacy-first. • Partner with clinical, legal, security, and data platform teams (including Databricks/Unity Catalog access governance) to enforce compliant, auditable data access. • Drive multi-quarter infrastructure initiatives, from cluster and deployment architecture to inference platform, GPU compute strategy, and observability evolution. • Write and lead technical design documents and design reviews, define infrastructure standards and development-workflow conventions, and contribute to technical governance across AI engineering. • Mentor engineers on reliability engineering, infrastructure-as-code, and MLOps best practices, and bridge the gap between prototypes and production-grade systems.