Geographic Information System Software Developer

Qualifications

• We Desire
• Experience building REST APIs, web GIS applications, or data pipelines.
• Familiarity with CI/CD, containers, secure software-deployment practices, packaging Python software, Conda, or similar tooling.
• Pay Range
• $121,830 - $154,500 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; pay will not be below any applicable local minimum wage. 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.
• #LI-Hybrid
• Position Information
• This is a Career Indefinite or At Will appointment. Lab employees and external candidates may be considered for this position.
• Why Lawrence Livermore National Laboratory?
• Included in 2026 Best Places to Work by Glassdoor!
• Flexible Benefits Package
• 401(k)
• Relocation Assistance
• Education Reimbursement Program
• Flexible schedules (depending on project needs)
• Our values - visit https://www.llnl.gov/inclusion/our-values
• Security Clearance
• This position requires a Department of Energy (DOE) Q-level clearance. If you are selected, we will initiate a Federal background investigation to determine if you meet eligibility requirements for access to classified information or matter. Also, all L or Q cleared employees are subject to random drug testing. Q-level clearance requires U.S. citizenship.
• Pre-Employment Drug Test
• External applicant(s) selected for this position must pass a post-offer, pre-employment drug test. This includes testing for use of marijuana as Federal Law applies to us as a Federal Contractor.
• Wireless and Medical Devices
• Per the Department of Energy (DOE), Lawrence Livermore National Laboratory must meet certain restrictions with the use and/or possession of mobile devices in Limited Areas. 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. This includes, but not limited to cell phones, tablets, fitness devices, wireless headphones, and other Bluetooth/wireless enabled devices.
• If you use a medical device, which pairs with a mobile device, you must still follow the rules concerning the mobile device in individual sections within Limited Areas. Sensitive Compartmented Information Facilities require separate approval. Hearing aids without wireless capabilities or wireless that has been disabled are allowed in Limited Areas, Secure Space and Transit/Buffer Space within buildings.
• How to identify fake job advertisements
• Please be aware of recruitment scams where people or entities are misusing the name of Lawrence Livermore National Laboratory (LLNL) to post fake job advertisements. LLNL never extends an offer without a personal interview and will never charge a fee for joining our company. All current job openings are displayed on the Career Page under “Find Your Job” of our website. 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.
• To learn more about recruitment scams: 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.
• California Privacy Notice
• 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. The Employee Privacy Notice can be accessed here.
• 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.
• Our mission spans four critical national security areas nuclear deterrence, threat preparedness, energy security, and multi-domain defense empowering teams to take on the toughest challenges of today and tomorrow. With a culture built on innovation and operational excellence, LLNL is a place where your expertise can make a real impact.
• Ability to obtain and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.
• Bachelor’s degree in GIS, computer science, engineering, environmental science, or related discipline, or an equivalent combination of education and relevant experience.
• Fundamental knowledge with developing and testing software in Python, including writing clear, maintainable, and well-documented code.
• Familiarity using Python for geospatial data processing, analysis, or automation, such as with ArcPy, GeoPandas, GDAL/OGR, Rasterio, Shapely, xarray, or comparable libraries.
• Familiarity with spatial data formats such as Shapefile, GeoJSON, Geodatabases.
• Fundamental knowledge of GIS concepts, coordinate reference systems, projections, spatial analysis.
• Familiarity using ArcGIS Pro, ArcGIS Enterprise, or ArcGIS Online
• Familiarity with SQL and spatial databases such as PostGIS.
• Familiarity with Git or another version-control system.
• Sufficient attention to detail and ability to perform thorough QA/QC of data, code, analyses, and technical deliverables.
• Ability to identify data-quality issues, investigate root causes, and communicate findings and corrective actions clearly.
• Ability to communicate technical approaches and results clearly and collaborate effectively with multidisciplinary teams.
• Sufficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.