{"id":3491228,"url":"https://alion.io/job/lawrence-livermore-national-laboratory-geographic-information-system-software-developer","title":"Geographic Information System Software Developer","company":{"id":5246,"name":"Lawrence Livermore National Laboratory","domain":"llnl.gov","url":"https://alion.io/company/llnl","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":23,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":19,"computed_at":"2026-11-03T05:54:40Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Livermore, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":121830,"max":154500,"currency":"USD","period":"year","gross":null,"usd_annual":154500},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"GDAL","optional":false},{"name":"Git","optional":false},{"name":"PostGIS","optional":false},{"name":"Python","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-10-29T23:15:05Z","employer_posted_date":"2026-10-29","last_verified_at":"2026-11-03T19:29:30Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Join us and make YOUR mark on the World!\nLawrence 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.\nOur 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.\n We are seeking an early-career Geographic Information System (GIS) Developer with strong Python programming skills to develop, automate, and maintain geospatial data workflows, analysis tools, and applications. The successful candidate will collaborate with GIS professionals, software developers, scientists, and stakeholders to deliver reliable geospatial data products and services.\nYou will\nContribute to the development, documentation, and maintenance of Python scripts, packages, and tools for geospatial data ingestion, transformation, validation, analysis, and publishing.\nParticipate in automation repeatable GIS workflows using Python and relevant geospatial libraries.\nContribute to the development and maintenance of GIS applications, web services, data products, and visualizations under guidance from senior technical staff.\nPerform spatial analysis and quality assurance for vector, raster, and tabular geospatial data.\nSupport integration of GIS data and services with databases, web applications, and enterprise systems.\nUtilize version control and established software-development practices to support maintainable, reproducible solutions.\nPerform quality assurance and quality control (QA/QC) of geospatial data, Python code, automated workflows, and GIS products; identify, document, and resolve discrepancies.\nContribute to the development and maintenance of validation checks, test cases, and clear QA/QC documentation to support accurate, reproducible data products.\nCommunicate technical approaches, progress, results, and recommendations clearly through documentation, presentations, and discussions with project team members.\nPerform other duties as assigned.\n Ability to obtain and maintain a U.S. DOE Q-level security clearance which requires U.S. citizenship.\nBachelor’s degree in GIS, computer science, engineering, environmental science, or related discipline, or an equivalent combination of education and relevant experience.\nFundamental knowledge with developing and testing software in Python, including writing clear, maintainable, and well-documented code.\nFamiliarity using Python for geospatial data processing, analysis, or automation, such as with ArcPy, GeoPandas, GDAL/OGR, Rasterio, Shapely, xarray, or comparable libraries.\nFamiliarity with spatial data formats such as Shapefile, GeoJSON, Geodatabases.\nFundamental knowledge of GIS concepts, coordinate reference systems, projections, spatial analysis.\nFamiliarity using ArcGIS Pro, ArcGIS Enterprise, or ArcGIS Online\nFamiliarity with SQL and spatial databases such as PostGIS.\nFamiliarity with Git or another version-control system.\nSufficient attention to detail and ability to perform thorough QA/QC of data, code, analyses, and technical deliverables.\nAbility to identify data-quality issues, investigate root causes, and communicate findings and corrective actions clearly.\nAbility to communicate technical approaches and results clearly and collaborate effectively with multidisciplinary teams.\nSufficient verbal and written communication skills to collaborate effectively in a team environment and present and explain technical information.\nQualifications We Desire\nExperience building REST APIs, web GIS applications, or data pipelines.\nFamiliarity with CI/CD, containers, secure software-deployment practices, packaging Python software, Conda, or similar tooling.\nPay Range\n$121,830 - $154,500 annually\nThis 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.\n Position Information\nThis is a Career Indefinite or At Will appointment. Lab employees and external candidates may be considered for this position.\nWhy Lawrence Livermore National Laboratory?\nIncluded in 2026 Best Places to Work by Glassdoor!\nFlexible Benefits Package\n401(k)\nRelocation Assistance\nEducation Reimbursement Program\nFlexible schedules (*depending on project needs)\nOur values - visit https://www.llnl.gov/inclusion/our-values\nSecurity Clearance\nThis 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.\nPre-Employment Drug Test\nExternal 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.\nWireless and Medical Devices\nPer 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.\nIf 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.\nHow to identify fake job advertisements\nPlease 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.\nTo learn more about recruitment scams: https://www.llnl.gov/sites/www/files/2023-05/LLNL-Job-Fraud-Statement-Updated-4.26.23.pdf\nEqual Employment Opportunity\nWe 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.\nReasonable Accommodation\nOur 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.\nCalifornia Privacy Notice\nThe 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. 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