Description
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:

Provide Software Engineering support to Cyber Security Operations mission by designing and implementing prototype software applications using a variety of APIs, frameworks, and programming languages. Support the Cyber analyst by providing software solutions that are required to support mission objectives. The ideal candidate would be a jack-of-all trades developer specializing in providing front-end analytic presentation solutions in Splunk.

• Technical Proficiency: Experience with Cybersecurity and software development with Python, Splunk with front end development using Angular JS, React JS. Experience with Gitlab and Atlassian Jira.
• Qualifications: Bachelor’s degree in computer science or related field plus eight (8) years of relevant experience or a master’s degree with six (6) years of relevant development experience. An associate’s degree with ten (10) years of relevant experience or a high school diploma/GED with twelve (12) years of relevant experience may be considered for individuals with in-depth experience that is clearly related to the position.
• Security Clearance Requirement: Candidates must possess an active TS/SCI with Polygraph to be considered for this role.
• Desirable Skills: Interfacing with Restful services, Java Scripting, Bash Scripting, Jenkins, Rancher/Kubernetes, Docker, Airflow and Data Science/Machine Learning