Senior Software Engineer — Mission Analytics & ML

Leidos; Savage (MD); On-site; USD 107,900 - 195,050; Full time

Benefits offered by this job

Paid Time Off

11 paid Holidays

401K with 6% company match

Flexible Schedules

Discounted Stock Purchase Plans

Technical Upskilling

Education and Training Support

Parental Paid Leave

Health and Wellness programs

Income Protection

Paid Leave and Retirement

Job summary

Leidos is seeking a Senior Software Engineer in the Intel Sector to develop custom analytics, prototype data-driven tools, and deliver scalable analytics solutions. The role collaborates with data scientists and end users to operationalize data science and advance mission-focused software products.

Ideal candidates bring experience with big data, ML, AI, LLMs, and a track record of delivering end-to-end software engineering in a fast-paced environment. Security clearance is required.

Qualifications

• Bachelor's degree plus eleven (11) years of relevant experience or equivalent.
• Active TS/SCI with Polygraph security clearance is required for consideration.

Responsibilities

• Mission Focus: work with data scientists and mission analysts to prototype, develop, test, and deploy tools and tradecraft into the customer’s architecture.
• Technical Proficiency: strong experience with big data technologies (Jupyter Notebooks, Java MapReduce, Python PySpark), ML fundamentals, Jira, Confluence, Gitlab, and Agile methods.
• Desirable Skills: experience with Data Science, ML/AI, and LLMs.

Skills

Jupyter Notebooks

Java MapReduce

Python PySpark

Jira

Confluence

Gitlab

Agile methodologies

Machine Learning

Artificial Intelligence

Large Language Models

Education

Bachelor's degree

11+ years of relevant experience

Tools

-

Job description

Leidos is seeking a Senior Software Engineer in the Intel Sector to develop custom analytics, prototype data-driven tools, and deliver scalable analytics solutions. The role collaborates with data scientists and end users to operationalize data science and advance mission-focused software products.

Ideal candidates bring experience with big data, ML, AI, LLMs, and a track record of delivering end-to-end software engineering in a fast-paced environment. Security clearance is required.