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Leidos

Lead Software Engineer

Leidos, Severn, Maryland, United States, 21144

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Description Leidos

is excited to welcome a talented

Lead Software Engineer

to our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA). Our dynamic team is pioneering efforts in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At

Leidos , we provide a comprehensive benefits package, including Paid Time Off, 11 paid Holidays, a 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, and Paid Leave for parents, among other perks.

Join us in making a difference in National Security! Job Summary: Our LOE program is designed to offer our customer's Operations organization with cutting-edge solutions to meet mission needs through rapid prototyping, innovative development, and advanced technology research. We pride ourselves on developing leading-edge visualizations and analytic solutions, constantly exploring new data sources and methodologies to address intelligence challenges. Working in a collaborative and fast-paced environment, our program is a fantastic opportunity to enhance your skills while making a tangible impact. Job Responsibilities/Qualifications: Transition the functionality of the PostGIS database and the Jupyter Notebook in alignment with customer objectives. Develop prototypes that respond to new inquiries and improve existing answers based on customer feedback. Create user-friendly query forms to utilize stored data, assisting analysts in addressing geospatial inquiries. Provide development support for analytic front ends, ensuring they meet proposed GUI designs and performance standards. Deliver operational maintenance and support for customized analytics solutions. Serve as a subject matter expert for metric generation, usage, and application. What Sets You Apart: Bachelor's degree plus eleven (11) years of relevant experience, or a master's degree with 3 years of relevant experience. An associate's degree plus 7 years of experience, or a high school diploma/GED with 9 years of relevant experience may be considered for candidates with significant related expertise. Degree in Computer Science (CS) or a related field. Strong proficiency in Python, especially with Pandas & PySpark, and experience in Red Hat Linux (versions 3 - 5+). Familiarity with Jupyter Notebooks. Experience in Machine Learning. Proficiency with AWS EMR. Security Clearance Requirement: Applicants must possess an active TS/SCI clearance with polygraph to be eligible for this position. You Might Also Have: Experience with GHOSTMACHINE analytic development. Familiarity with Query Time Analytics and DX. Knowledge of Redshift. Experience with PostgreSQL. At Leidos, we offer limitless opportunities. We challenge our staff with engaging assignments that enable professional and personal growth. Supporting your career development is our priority, and we look forward to learning more about you - apply today! Careers.leidos.com At Leidos, we seek candidates who will reshape the future rather than conform to the existing model. This is the role for the ambitious, the visionary, the ones who are eager to innovate and make a mark. If you are the type of person who is already planning what's next while others are still focused on the immediate tasks, you will thrive here. Original Posting: August 26, 2025 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days, with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $126,100.00 - $227,950.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.