500 Administration jobs in San Lorenzo
Slurm Administration & Systems Architecture
Posted today
Job Viewed
Job Description
Overview
We are seeking a highly skilled HPC/AI/ML Cluster Engineer to support the design, deployment, and ongoing operations of large-scale HPC environments powered by Slurm. This role centers on cluster engineering, administration, and performance optimization, with emphasis on GPU-accelerated computing, advanced networking, and workload scheduling. In this role, you will work closely with our researchers, vendors, and partners to manage Slurm clusters that are used for AI/ML workloads.
Responsibilities
Cluster Engineering & Deployment
- Participate in the design and bring-up of bare metal HPC/AI/ML environments
- Architect compute node definitions (NUMA, GRES GPU topologies, CPU pinning) and Slurm partitioning strategies for diverse workloads.
- Integrate heterogeneous hardware platforms into cohesive scheduling environments.
- Develop provisioning and imaging workflows (Ansible, MAAS, cloud-init, CI/CD pipelines) for reproducible cluster build-out.
- Coordinate communications between vendors, researchers, and other partners during cluster bring-up and operation.
Slurm Management
- Configure and operate the Slurm Workload Manager.
- Build custom Slurm plugins and scripts (epilog/prolog, pam_slurm_adopt) to extend functionality and integrate with authentication, and monitoring.
- Manage federated Slurm setups across multi-site or hybrid cloud environments.
System Administration & Monitoring
- Administer Linux HPC environments, including network configuration, storage integration, and kernel tuning for HPC workloads.
- Deploy and maintain observability stacks for system health, GPU metrics, and job monitoring.
- Automate failure detection, node health checks, and job cleanup to ensure high uptime and reliability.
- Manage security and access control (LDAP/SSSD, VPN, PAM, SSH session auditing).
User & Stakeholder Support
- Assist cluster users with developing workflows that make efficient use of compute resources.
- Containerize HPC applications with Docker/Podman/Enroot-Pyxis and integrate GPU-aware runtimes into Slurm jobs.
- Automate cost accounting and cluster usage reporting.
Qualifications
- 7+ years experience in HPC cluster administration and engineering, with deep knowledge of Slurm.
- Familiarity with common AI/ML software package dependencies and workflows
- Expert in Slurm configuration, partition design, QoS/preemption policies, and GRES GPU scheduling.
- Strong background in Linux system administration, networking, and performance tuning for HPC environments.
- Hands-on experience with parallel file system, advanced networking (InfiniBand, RoCE, 100/200 GbE), and monitoring stacks.
- Proficient with automation tools (Ansible, Terraform, CI/CD pipelines) and version control.
- Demonstrated ability to operate GPU-accelerated clusters at scale.
Slurm Administration & Systems Architecture
Posted today
Job Viewed
Job Description
Overview
We are seeking a highly skilled HPC/AI/ML Cluster Engineer to support the design, deployment, and ongoing operations of large-scale HPC environments powered by Slurm. This role centers on cluster engineering, administration, and performance optimization, with emphasis on GPU-accelerated computing, advanced networking, and workload scheduling. In this role, you will work closely with our researchers, vendors, and partners to manage Slurm clusters that are used for AI/ML workloads.
Responsibilities
Cluster Engineering & Deployment
- Participate in the design and bring-up of bare metal HPC/AI/ML environments
- Architect compute node definitions (NUMA, GRES GPU topologies, CPU pinning) and Slurm partitioning strategies for diverse workloads.
- Integrate heterogeneous hardware platforms into cohesive scheduling environments.
- Develop provisioning and imaging workflows (Ansible, MAAS, cloud-init, CI/CD pipelines) for reproducible cluster build-out.
- Coordinate communications between vendors, researchers, and other partners during cluster bring-up and operation.
Slurm Management
- Configure and operate the Slurm Workload Manager.
- Build custom Slurm plugins and scripts (epilog/prolog, pam_slurm_adopt) to extend functionality and integrate with authentication, and monitoring.
- Manage federated Slurm setups across multi-site or hybrid cloud environments.
System Administration & Monitoring
- Administer Linux HPC environments, including network configuration, storage integration, and kernel tuning for HPC workloads.
- Deploy and maintain observability stacks for system health, GPU metrics, and job monitoring.
- Automate failure detection, node health checks, and job cleanup to ensure high uptime and reliability.
- Manage security and access control (LDAP/SSSD, VPN, PAM, SSH session auditing).
User & Stakeholder Support
- Assist cluster users with developing workflows that make efficient use of compute resources.
- Containerize HPC applications with Docker/Podman/Enroot-Pyxis and integrate GPU-aware runtimes into Slurm jobs.
- Automate cost accounting and cluster usage reporting.
Qualifications
- 7+ years experience in HPC cluster administration and engineering, with deep knowledge of Slurm.
- Familiarity with common AI/ML software package dependencies and workflows
- Expert in Slurm configuration, partition design, QoS/preemption policies, and GRES GPU scheduling.
- Strong background in Linux system administration, networking, and performance tuning for HPC environments.
- Hands-on experience with parallel file system, advanced networking (InfiniBand, RoCE, 100/200 GbE), and monitoring stacks.
- Proficient with automation tools (Ansible, Terraform, CI/CD pipelines) and version control.
- Demonstrated ability to operate GPU-accelerated clusters at scale.
Slurm Administration & Systems Architecture
Posted today
Job Viewed
Job Description
Overview
We are seeking a highly skilled HPC/AI/ML Cluster Engineer to support the design, deployment, and ongoing operations of large-scale HPC environments powered by Slurm. This role centers on cluster engineering, administration, and performance optimization, with emphasis on GPU-accelerated computing, advanced networking, and workload scheduling. In this role, you will work closely with our researchers, vendors, and partners to manage Slurm clusters that are used for AI/ML workloads.
Responsibilities
Cluster Engineering & Deployment
- Participate in the design and bring-up of bare metal HPC/AI/ML environments
- Architect compute node definitions (NUMA, GRES GPU topologies, CPU pinning) and Slurm partitioning strategies for diverse workloads.
- Integrate heterogeneous hardware platforms into cohesive scheduling environments.
- Develop provisioning and imaging workflows (Ansible, MAAS, cloud-init, CI/CD pipelines) for reproducible cluster build-out.
- Coordinate communications between vendors, researchers, and other partners during cluster bring-up and operation.
Slurm Management
- Configure and operate the Slurm Workload Manager.
- Build custom Slurm plugins and scripts (epilog/prolog, pam_slurm_adopt) to extend functionality and integrate with authentication, and monitoring.
- Manage federated Slurm setups across multi-site or hybrid cloud environments.
System Administration & Monitoring
- Administer Linux HPC environments, including network configuration, storage integration, and kernel tuning for HPC workloads.
- Deploy and maintain observability stacks for system health, GPU metrics, and job monitoring.
- Automate failure detection, node health checks, and job cleanup to ensure high uptime and reliability.
- Manage security and access control (LDAP/SSSD, VPN, PAM, SSH session auditing).
User & Stakeholder Support
- Assist cluster users with developing workflows that make efficient use of compute resources.
- Containerize HPC applications with Docker/Podman/Enroot-Pyxis and integrate GPU-aware runtimes into Slurm jobs.
- Automate cost accounting and cluster usage reporting.
Qualifications
- 7+ years experience in HPC cluster administration and engineering, with deep knowledge of Slurm.
- Familiarity with common AI/ML software package dependencies and workflows
- Expert in Slurm configuration, partition design, QoS/preemption policies, and GRES GPU scheduling.
- Strong background in Linux system administration, networking, and performance tuning for HPC environments.
- Hands-on experience with parallel file system, advanced networking (InfiniBand, RoCE, 100/200 GbE), and monitoring stacks.
- Proficient with automation tools (Ansible, Terraform, CI/CD pipelines) and version control.
- Demonstrated ability to operate GPU-accelerated clusters at scale.
Slurm Administration & Systems Architecture
Posted today
Job Viewed
Job Description
Overview
We are seeking a highly skilled HPC/AI/ML Cluster Engineer to support the design, deployment, and ongoing operations of large-scale HPC environments powered by Slurm. This role centers on cluster engineering, administration, and performance optimization, with emphasis on GPU-accelerated computing, advanced networking, and workload scheduling. In this role, you will work closely with our researchers, vendors, and partners to manage Slurm clusters that are used for AI/ML workloads.
Responsibilities
Cluster Engineering & Deployment
- Participate in the design and bring-up of bare metal HPC/AI/ML environments
- Architect compute node definitions (NUMA, GRES GPU topologies, CPU pinning) and Slurm partitioning strategies for diverse workloads.
- Integrate heterogeneous hardware platforms into cohesive scheduling environments.
- Develop provisioning and imaging workflows (Ansible, MAAS, cloud-init, CI/CD pipelines) for reproducible cluster build-out.
- Coordinate communications between vendors, researchers, and other partners during cluster bring-up and operation.
Slurm Management
- Configure and operate the Slurm Workload Manager.
- Build custom Slurm plugins and scripts (epilog/prolog, pam_slurm_adopt) to extend functionality and integrate with authentication, and monitoring.
- Manage federated Slurm setups across multi-site or hybrid cloud environments.
System Administration & Monitoring
- Administer Linux HPC environments, including network configuration, storage integration, and kernel tuning for HPC workloads.
- Deploy and maintain observability stacks for system health, GPU metrics, and job monitoring.
- Automate failure detection, node health checks, and job cleanup to ensure high uptime and reliability.
- Manage security and access control (LDAP/SSSD, VPN, PAM, SSH session auditing).
User & Stakeholder Support
- Assist cluster users with developing workflows that make efficient use of compute resources.
- Containerize HPC applications with Docker/Podman/Enroot-Pyxis and integrate GPU-aware runtimes into Slurm jobs.
- Automate cost accounting and cluster usage reporting.
Qualifications
- 7+ years experience in HPC cluster administration and engineering, with deep knowledge of Slurm.
- Familiarity with common AI/ML software package dependencies and workflows
- Expert in Slurm configuration, partition design, QoS/preemption policies, and GRES GPU scheduling.
- Strong background in Linux system administration, networking, and performance tuning for HPC environments.
- Hands-on experience with parallel file system, advanced networking (InfiniBand, RoCE, 100/200 GbE), and monitoring stacks.
- Proficient with automation tools (Ansible, Terraform, CI/CD pipelines) and version control.
- Demonstrated ability to operate GPU-accelerated clusters at scale.
Slurm Administration & Systems Architecture
Posted today
Job Viewed
Job Description
Overview
We are seeking a highly skilled HPC/AI/ML Cluster Engineer to support the design, deployment, and ongoing operations of large-scale HPC environments powered by Slurm. This role centers on cluster engineering, administration, and performance optimization, with emphasis on GPU-accelerated computing, advanced networking, and workload scheduling. In this role, you will work closely with our researchers, vendors, and partners to manage Slurm clusters that are used for AI/ML workloads.
Responsibilities
Cluster Engineering & Deployment
- Participate in the design and bring-up of bare metal HPC/AI/ML environments
- Architect compute node definitions (NUMA, GRES GPU topologies, CPU pinning) and Slurm partitioning strategies for diverse workloads.
- Integrate heterogeneous hardware platforms into cohesive scheduling environments.
- Develop provisioning and imaging workflows (Ansible, MAAS, cloud-init, CI/CD pipelines) for reproducible cluster build-out.
- Coordinate communications between vendors, researchers, and other partners during cluster bring-up and operation.
Slurm Management
- Configure and operate the Slurm Workload Manager.
- Build custom Slurm plugins and scripts (epilog/prolog, pam_slurm_adopt) to extend functionality and integrate with authentication, and monitoring.
- Manage federated Slurm setups across multi-site or hybrid cloud environments.
System Administration & Monitoring
- Administer Linux HPC environments, including network configuration, storage integration, and kernel tuning for HPC workloads.
- Deploy and maintain observability stacks for system health, GPU metrics, and job monitoring.
- Automate failure detection, node health checks, and job cleanup to ensure high uptime and reliability.
- Manage security and access control (LDAP/SSSD, VPN, PAM, SSH session auditing).
User & Stakeholder Support
- Assist cluster users with developing workflows that make efficient use of compute resources.
- Containerize HPC applications with Docker/Podman/Enroot-Pyxis and integrate GPU-aware runtimes into Slurm jobs.
- Automate cost accounting and cluster usage reporting.
Qualifications
- 7+ years experience in HPC cluster administration and engineering, with deep knowledge of Slurm.
- Familiarity with common AI/ML software package dependencies and workflows
- Expert in Slurm configuration, partition design, QoS/preemption policies, and GRES GPU scheduling.
- Strong background in Linux system administration, networking, and performance tuning for HPC environments.
- Hands-on experience with parallel file system, advanced networking (InfiniBand, RoCE, 100/200 GbE), and monitoring stacks.
- Proficient with automation tools (Ansible, Terraform, CI/CD pipelines) and version control.
- Demonstrated ability to operate GPU-accelerated clusters at scale.
Slurm Administration & Systems Architecture
Posted today
Job Viewed
Job Description
Overview
We are seeking a highly skilled HPC/AI/ML Cluster Engineer to support the design, deployment, and ongoing operations of large-scale HPC environments powered by Slurm. This role centers on cluster engineering, administration, and performance optimization, with emphasis on GPU-accelerated computing, advanced networking, and workload scheduling. In this role, you will work closely with our researchers, vendors, and partners to manage Slurm clusters that are used for AI/ML workloads.
Responsibilities
Cluster Engineering & Deployment
- Participate in the design and bring-up of bare metal HPC/AI/ML environments
- Architect compute node definitions (NUMA, GRES GPU topologies, CPU pinning) and Slurm partitioning strategies for diverse workloads.
- Integrate heterogeneous hardware platforms into cohesive scheduling environments.
- Develop provisioning and imaging workflows (Ansible, MAAS, cloud-init, CI/CD pipelines) for reproducible cluster build-out.
- Coordinate communications between vendors, researchers, and other partners during cluster bring-up and operation.
Slurm Management
- Configure and operate the Slurm Workload Manager.
- Build custom Slurm plugins and scripts (epilog/prolog, pam_slurm_adopt) to extend functionality and integrate with authentication, and monitoring.
- Manage federated Slurm setups across multi-site or hybrid cloud environments.
System Administration & Monitoring
- Administer Linux HPC environments, including network configuration, storage integration, and kernel tuning for HPC workloads.
- Deploy and maintain observability stacks for system health, GPU metrics, and job monitoring.
- Automate failure detection, node health checks, and job cleanup to ensure high uptime and reliability.
- Manage security and access control (LDAP/SSSD, VPN, PAM, SSH session auditing).
User & Stakeholder Support
- Assist cluster users with developing workflows that make efficient use of compute resources.
- Containerize HPC applications with Docker/Podman/Enroot-Pyxis and integrate GPU-aware runtimes into Slurm jobs.
- Automate cost accounting and cluster usage reporting.
Qualifications
- 7+ years experience in HPC cluster administration and engineering, with deep knowledge of Slurm.
- Familiarity with common AI/ML software package dependencies and workflows
- Expert in Slurm configuration, partition design, QoS/preemption policies, and GRES GPU scheduling.
- Strong background in Linux system administration, networking, and performance tuning for HPC environments.
- Hands-on experience with parallel file system, advanced networking (InfiniBand, RoCE, 100/200 GbE), and monitoring stacks.
- Proficient with automation tools (Ansible, Terraform, CI/CD pipelines) and version control.
- Demonstrated ability to operate GPU-accelerated clusters at scale.
Slurm Administration & Systems Architecture
Posted today
Job Viewed
Job Description
Overview
We are seeking a highly skilled HPC/AI/ML Cluster Engineer to support the design, deployment, and ongoing operations of large-scale HPC environments powered by Slurm. This role centers on cluster engineering, administration, and performance optimization, with emphasis on GPU-accelerated computing, advanced networking, and workload scheduling. In this role, you will work closely with our researchers, vendors, and partners to manage Slurm clusters that are used for AI/ML workloads.
Responsibilities
Cluster Engineering & Deployment
- Participate in the design and bring-up of bare metal HPC/AI/ML environments
- Architect compute node definitions (NUMA, GRES GPU topologies, CPU pinning) and Slurm partitioning strategies for diverse workloads.
- Integrate heterogeneous hardware platforms into cohesive scheduling environments.
- Develop provisioning and imaging workflows (Ansible, MAAS, cloud-init, CI/CD pipelines) for reproducible cluster build-out.
- Coordinate communications between vendors, researchers, and other partners during cluster bring-up and operation.
Slurm Management
- Configure and operate the Slurm Workload Manager.
- Build custom Slurm plugins and scripts (epilog/prolog, pam_slurm_adopt) to extend functionality and integrate with authentication, and monitoring.
- Manage federated Slurm setups across multi-site or hybrid cloud environments.
System Administration & Monitoring
- Administer Linux HPC environments, including network configuration, storage integration, and kernel tuning for HPC workloads.
- Deploy and maintain observability stacks for system health, GPU metrics, and job monitoring.
- Automate failure detection, node health checks, and job cleanup to ensure high uptime and reliability.
- Manage security and access control (LDAP/SSSD, VPN, PAM, SSH session auditing).
User & Stakeholder Support
- Assist cluster users with developing workflows that make efficient use of compute resources.
- Containerize HPC applications with Docker/Podman/Enroot-Pyxis and integrate GPU-aware runtimes into Slurm jobs.
- Automate cost accounting and cluster usage reporting.
Qualifications
- 7+ years experience in HPC cluster administration and engineering, with deep knowledge of Slurm.
- Familiarity with common AI/ML software package dependencies and workflows
- Expert in Slurm configuration, partition design, QoS/preemption policies, and GRES GPU scheduling.
- Strong background in Linux system administration, networking, and performance tuning for HPC environments.
- Hands-on experience with parallel file system, advanced networking (InfiniBand, RoCE, 100/200 GbE), and monitoring stacks.
- Proficient with automation tools (Ansible, Terraform, CI/CD pipelines) and version control.
- Demonstrated ability to operate GPU-accelerated clusters at scale.
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Manager Contract Administration 1
Posted 1 day ago
Job Viewed
Job Description
CLEARANCE TYPE: None
TRAVEL: Yes, 25% of the Time
**Description**
At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work - and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.
At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and software-secure technology to enable strategic planning. We're looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we'll support yours of expanding your personal network and developing skills, whether you are new to the field, or an industry thought leader. At Northrop Grumman, you'll have the resources, support, and team to do some of the best work of your career.
Northrop Grumman Mission Systems is seeking a **Manager, Contract Administrator 1** to lead contracts administration for the Deployed Systems Programs within the Launcher Operating Unit, Marine Systems Business Unit of the Maritime/Land Systems & Sensors Division. **The preferred work location is Sunnyvale, CA, but we will consider this position being full-time on-site at another NG Mission Systems office (ex: Baltimore, MD; Sykesville, MD; San Diego, CA; Annapolis, MD). This position will require flexibility to support West Coast operations/hours.**
**What You Will Get To Do:**
The successful candidate will have full management responsibility for multiple contracts professionals. The successful candidate will be responsible for cradle-to-grave administration (business development phase through contract closeout), negotiations, and delivering strong customer satisfaction, successful financial performance and risk mitigation. This position will require an understanding of terms and conditions and the ability to negotiate all types of contractual instruments and agreements. It is key that the Manager, Contract Administrator 1 has the ability to provide concise and effective communication through presentations, written documentation, or email format with different levels of management. Additionally, the Manager, Contract Administrator 1 must be a role model for diversity and inclusion by seeking out and including diverse opinions and perspectives. They must have the ability to solve complex problems by actively seeking information and new ideas from a variety of sources.
Responsibilities include:
+ Reviewing and responding to RFIs, RFQs, and RFPs.
+ Reviewing process specifications, progress, and other reports.
+ Advising management of contractual rights and obligations.
+ Preparing bids/proposals, administering, extending, negotiating and terminating standard and nonstandard contracts IAW company policies, legal requirements, and customer specifications.
+ Examining estimates of material, equipment services, production costs, performance requirements, and delivery schedules to ensure accuracy and completeness.
+ Reviewing and approving contractual documents.
+ Planning and executing successful contract negotiations of a complex nature.
+ Achieving targeted profit rates and favorable terms and conditions to assist in meeting profit and cash goals.
+ Providing direction based upon the contract requirements and change management discipline.
+ Making decisions in a timely manner.
+ Working with program, finance, supply chain, legal, security, and other functions.
+ Building strong customer intimacy and engaging with employees.
+ Conducting staff meetings and one on one sessions with direct reports.
+ Assessing the business needs on assigned programs and working/elevating actions as needed.
+ Executing mid-year and year-end performance evaluations.
**Qualifications:**
**Basic Qualifications:**
+ Bachelor's Degree with 5+ years or Master's Degree with 3+ years of relevant experience in contract administration/management or related field.
+ Experience negotiating and administering various contract types of varying sizes and types of agreements with the DoD.
+ Experience working with FAR and DFAR government regulations.
+ Experience presenting to and briefing senior management.
+ Ability to obtain U.S. Government security clearance at the Secret level.
**Preferred Qualifications:**
+ Demonstrated people leadership experience, either in a management, team or project lead role.
+ Proven ability to attract top talent, build a top performing contracts team, and dynamically lead, inspire, motivate and engage a team of contracts managers and administrators.
+ Experience negotiating complex contracts
**What We Can Offer You:**
Northrop Grumman provides a comprehensive benefits package and a work environment which encourages your growth and supports the mutual success of our people and our company. Northrop Grumman benefits give you the flexibility and control to choose the benefits that make the most sense for you and your family.
Your benefits will include the following: Health Plan, Savings Plan, Paid Time Off and Additional Benefits including Education Assistance, Training and Development, 9/80 Work Schedule (where available), and much more!
Primary Level Salary Range: $92,600.00 - $160,900.00
The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.
Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.
The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.
Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.
APPS Workforce Administration (WFA) Analyst
Posted 3 days ago
Job Viewed
Job Description
UC Riverside's Auxiliary Services is recruiting for the APPS Workforce Administration (WFA) Analyst. The full salary range for the APPS Workforce Administration (WFA) Analyst is $27.63 - $7.56 per hour. However, the expected pay scale for this position is up to 37.60 per hour. We base salary offers on a variety of considerations, such as education, licensure and certifications, experience, and other business and organizational needs.
The Auxiliary Payroll & Personnel Services (APPS) unit provides payroll and personnel related services including recruitment, onboarding, offboarding, time reporting, payroll oversight, position management, personnel updates, case management (benefits, leave balances, accruals, etc.) and leave processing for Auxiliary Services. Reporting to the APPS Manager, the APPS Workforce Administration (WFA) Analyst will work with a wide range of clients to gather information that needs to be processed from their respective departments, and ensure accurate entry and handling of information related to the requests for services in order to minimize errors in the process. This position will be responsible for providing project management support to create, organize and execute upcoming mass onboarding/offboarding/payroll related requests, will be responsible for timely and accurate review, preparation, processing, and auditing of payroll, personnel, and financial transactions, and will utilize data and analytics to complete audits, identify trends in delayed/inaccurate processing. Interacts with client partners and colleagues in UCR's Central Office, the Campus Service Center, and the UCPath Center to resolve service escalation issues. Is the first point of contact for department partners for questions concerning employment appointments. The incumbent will partner with the APPS Manager, APPS team, other Shared Service Centers, clients, and stakeholders to identify opportunities to continuously improve the effectiveness, accuracy, and delivery of services.
Applicants must have current work authorization when accepting a UCR staff position. Currently, we are unable to sponsor or take over sponsorship of an employment Visa for staff.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
IT Systems Administration Training Program
Posted 3 days ago
Job Viewed
Job Description
Year Up United is a one-year or less, intensive job training program that provides young adults with in-classroom skill development, access to internships and/or job placement services, and personalized coaching and mentorship. Year Up United participants also receive an educational stipend.
The program combines technical and professional training with access to internships and job placement support through our industry-leading talent placement firm YUPRO Placement. If you receive an internship, it may be at Salesforce, Workday, or PayPal among other leading organizations in the California Bay Area (Pleasant Hill, San Francisco, San Jose).
Are you eligible?
You can apply to Year Up United if you are:
- A high school graduate or GED recipient
- Eligible to work in the U. S.
- Available Monday-Friday throughout the duration of the program
- Highly motivated to learn technical and professional skills
- Have not obtained a Bachelor s degree
- You may be required to answer additional screening questions when applying
What will you gain?
Professional business and communication skills, interviewing and networking skills, resume building, ongoing support and guidance to help you launch your career. During the internship phase, Year Up United students earn an educational stipend of $525 per week.
In-depth classes include:
- Application Development
- Customer Success
- Project Management
- Data Analytics
- IT Support
- Business Operations
- Network Security & Support
Get the skills and opportunity you need to launch your professional career.
75% of Year Up United graduates are employed and/or enrolled in postsecondary education within 4 months of graduation. Employed graduates earn an average starting salary of fifty-three thousand dollars per year.