Senior Software Engineer (SWE-4)

Leidos•Columbia, MD

14d

About The Position

Leidos has a new and exciting opportunity for a Senior Software Engineer in our National Security Sector's (NSS) Cyber & Analytics Business Area (CABA) . Our talented team is at the forefront in Security Engineering, Computer Network Operations (CNO), Mission Software, Analytical Methods and Modeling, Signals Intelligence (SIGINT), and Cryptographic Key Management. At Leidos , we offer competitive benefits , including Paid Time Off, 11 paid Holidays, 401K with a 6% company match and immediate vesting, Flexible Schedules, Discounted Stock Purchase Plans, Technical Upskilling, Education and Training Support, Parental Paid Leave, and much more. Join us and make a difference in National Security! Job Summary: Our LOE program provides our customer's Operations organization with the best possible solutions for their mission needs. We achieve this through rapid prototyping, new development, and advanced technology research. From leading-edge visualizations to analytic development, we're always pushing the boundaries to find new and better data sources and tradecraft to answer intelligence questions. With a focus on collaboration and a fast-paced environment, our prototype development program is the ideal place to grow your skills and make a real impact. Click here to learn more about how this program “Delivers Mission Success!” We are seeking a highly motivated Senior Software Engineer with proven experience in installing, configuring, developing, and integrating prototype applications for technical evaluation. The engineer will be supporting a lab environment providing support for customers developing and testing experiments.

Requirements

Bachelor's degree plus eleven (11) plus years of relevant experience or equivalent.
Computer Science (CS) degree or related field.
Strong development experience in a variety of languages (ex., java, python).
Candidates must possess an active TS/SCI with Polygraph to be considered for this role.

Nice To Haves

Modeling experience.
Machine Learning experience.
Experience with Docker containers and Kubernetes.
Development experience on Linux platforms.
Analytics development experience.
Virtual Machine (VM) experience.

Responsibilities

Develop capabilities designed to help solve common problems arising from various analyst offices.
Prototype development to extend enterprise services, support analytics, enhance machine learning, and develop commercial cloud solutions.
Support the integration and evaluation of open source, emerging technologies, and new COTS applications.
Work directly with customers, developers, or data scientists to gather requirements and feedback.
Experience in integrating with customers ’cloud-based data systems.
Experience installing, configuring, developing, and integrating prototype applications for technical evaluation.