Principal Full-Stack Developer

Leidos; Maryland; On-site; USD 131,000 - 237,000; Full time

Benefits offered by this job

Paid Time Off

11 paid Holidays

401K with 6% company match and vesting

Flexible Schedules

Discounted Stock Purchase Plans

Technical Upskilling

Education and Training Support

Parental Paid Leave

Job summary

Leidos is seeking a Principal Full-Stack Developer in our Intel Sector to design, develop, deploy, and sustain a production‑level BI and data warehousing environment using Python, Java, R, and AWS cloud technologies. The role emphasizes dashboards, analytics, and advanced data integrations within a fast-paced, mission-focused team.

The ideal candidate has a Bachelor’s degree with extensive experience, strong OOP skills, and expertise in SIGINT-related data flows, NiFi, and MLOps.

Qualifications

• Bachelor's degree plus 11 years of relevant experience or equivalent.
• Strong proficiency with Python, Java, and R; cloud computing and data engineering.
• Active TS/SCI with Polygraph is required.

Responsibilities

• Design, develop, deploy, and sustain a production-ready BI and data warehousing environment on AWS.
• Develop dashboards and analytics using Tableau and Power BI; integrate AI/ML pipelines and MLOps.
• Collaborate with mission stakeholders to capture requirements and translate into technical solutions.

Skills

Python

Java

R

Cloud computing

Data engineering

Business intelligence

AI/ML operations

Jupyter Notebooks

Education

Bachelor's degree

Tools

Docker

Kubernetes

Apache NiFi

Tableau

Power BI

AWS

Job description

Leidos has a new and exciting opportunity for a Principal Full-Stack Developer in our Intel Sector. 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 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.

Seeking a motivated Principle Full-Stack Developer to support the exciting Tradecraft Evolution mission. The Developer will work closely with mission stakeholders to capture requirements to design, develop, and deploy a production-ready Business Intelligence and data warehousing environment.

Qualified candidates are eligible for enhanced incentives including up to a $25K cash sign on bonus or a paid time off bonus.

Job Responsibilities/Qualifications

• Mission Focus: Collaborate closely with customers to Design, develop, deploy, and sustain a production-ready Business Intelligence, data warehousing, and advanced analytics environment leveraging Python, Java, R, and AWS cloud technologies. The mission encompasses provisioning and configuring AWS resources; implementing enterprise data warehousing solutions; deploying and integrating Tableau and Power BI; developing core corporate dashboards and analytics; and enabling advanced analytics, analytic watermarking, sandbox environments, and pilot initiatives. The role also requires expertise in SIGINT architecture and NiFi dataflows, along with advanced MLOps capabilities to industrialize AI models through Docker containerization, Kubernetes orchestration, and automated end-to-end pipelines. Additionally, the mission focuses on optimizing Large Language Model (LLM) performance through advanced prompt engineering and integrating scalable, secure, and operationally effective AI solutions into the enterprise analytics ecosystem.
• Technical Proficiency: Creatively leverage disparate data to fill knowledge gaps in user activities, collection efforts, and technology discovery to include creating APIs and business intelligence analytics.
• Qualifications: Bachelor's degree plus 11-years of relevant experience or equivalent. Strong proficiency with object-oriented languages (Python, Java, and R) and cloud computing, data engineering, business intelligence, and AI/ML operations, Jupyter Notebooks.
• Security Clearance: Candidates must possess an active TS/SCI with Polygraph to be considered for this role.
• Desirable Skills: Knowledge of SIGINT architectures, Apache NiFi dataflows, customer corporate tools and data repositories

At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that allow them to thrive professionally and personally. For us, helping you grow your career is good business. We look forward to learning more about you –

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting

September 16, 2026

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 $131,300.00 - $237,350.00

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.