Llnl
ESN Associate Program Leader (APL) - Platform and Infrastructure - ACTIVE SECURITY CLEARANCE
Livermore, CA, United States · Contract
No sponsorship$211k-$267kDetected 19 days ago
AWSAzureCloud PlatformsCybersecurityComplianceBudgetingSupply ChainVendor ManagementProcurementCiscoSD-WANMedical DevicesLeadershipCommunicationMentoring
About the role
- Join us and make YOUR mark on the World!
- Lawrence Livermore National Laboratory (LLNL) has turned bold ideas into world-changing impact advancing science and technology to strengthen U.S. security and promote global stability.
- With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
Responsibilities
- Lead program direction for ESN modernization by aligning with ESN leadership and architecture, and developing and executing long-term cloud, server, and network strategies to support program growth.
- Manage day-to-day operations of on-prem and cloud infrastructure to maximize uptime and efficiency and provide leadership/mentorship to program and technical teams.
- Serve as a visionary leader for the future of ESN infrastructure and partner with ESN leadership and stakeholders to deliver resilient, secure, and efficient services.
- Support planning, budgeting, staffing, and supply chain coordination for infrastructure operations and lifecycle management.
- Support governance, IT policies and cybersecurity protocols across the organization.
- Perform other duties as assigned.
Requirements
- Depending on your job duties, you may be required to work in a Limited Area where you are not permitted to have a personal and/or laboratory mobile device in your possession.
- If you have encountered a job posting or have been approached with a job offer that you suspect may be fraudulent, we strongly recommend you do not respond.
- Bachelor's degree in computer science, computer engineering, or a related field, or equivalent combination of technical training and experience.
Compensation
- $210,630 - $267,030 Annually
- This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.
- An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.
- Position Information
- This is a Career Indefinite position, open to Lab employees and external candidates.
- Why Lawrence Livermore National Laboratory?
Company info
- https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf
- Equal Employment Opportunity
- We are an equal opportunity employer that is committed to providing all with a work environment free of discrimination and harassment.
- All qualified applicants will receive consideration for employment without regard to race, color, religion, marital status, national origin, ancestry, sex, sexual orientation, gender identity, disability, medical condition, pregnancy, protected veteran status, age, citizenship, or any other characteristic protected by applicable laws.
- Reasonable Accommodation
- Our goal is to create an accessible and inclusive experience for all candidates applying and interviewing at the Laboratory.
- If you need a reasonable accommodation during the application or the recruiting process, please use our online form to submit a request.
- The California Consumer Privacy Act (CCPA) grants privacy rights to all California residents.
- The law also entitles job applicants, employees, and non-employee workers to be notified of what personal information LLNL collects and for what purpose.
Visa & Work Authorization
- Expert experience building technology roadmaps, securing executive sponsorship, and delivering large-scale initiatives with measurable business or mission impact while maintaining operational continuity is preferred
This listing is sourced directly from Llnl's careers page and normalized into a canonical job model.