The Analysis Solutions Business Area at Leidos is seeking Software Developers at multiple experience levels to support a government customer in Reston, VA. Candidates will join a fast-paced, mission-focused team of government and contractor personnel developing innovative software and data-driven solutions. Successful candidates will bring strong technical skills, creativity, attention to detail, and the ability to solve complex problems in dynamic environments.

This position is onsite in Reston, VA and requires an active TS/SCI with Polygraph for consideration.

Basic Qualifications by level -

Mid-Level Software Development Engineer

• Bachelor’s degree in Computer Science, Information Systems, Systems Engineering, or related field with 4+ years of experience (or Master’s with 2+ years)

• 2+ years supporting Intelligence Community or DoD environments

• Experience with software development using Java, Python, JavaScript, or TypeScript

• Experience with full-stack development, including modern front-end frameworks (React/Angular) and backend services/APIs

• Familiarity with SQL/NoSQL databases, ETL pipelines, and Docker/containerized environments

• Exposure to cloud platforms (AWS preferred) and DevOps practices

• Experience integrating AI/ML or LLM-based capabilities is a plus

Senior Software Development Engineer

• Bachelor’s degree with 8+ years of experience (or Master’s with 6+ years)

• 3+ years supporting Intelligence Community or DoD missions

• Advanced experience in software architecture, system design, and scalable application development

• Strong background in data pipelines, ETL workflows, APIs, and cloud-native/containerized systems

• Experience developing analytic, simulation, or scenario-based applications

• Experience integrating AI/ML, LLMs, or RAG-based solutions into production systems

• Ability to lead development efforts and mentor junior engineers

Principal Software Development Engineer / Technical Lead

• Bachelor’s degree with 12+ years of experience (or Master’s with 10+ years)

• 3+ years supporting Intelligence Community or DoD missions

• Deep expertise in full-stack development, system architecture, and cloud-based platforms

• Experience designing complex analytic systems, simulation platforms, and large-scale data pipelines

• Strong background in AI/ML, LLM integration, and advanced analytics

• Proven ability to lead technical strategy, prototype innovative solutions, and guide engineering teams

• Excellent communication and stakeholder engagement skills

For All Levels - Key Responsibilities

• Design, develop, and maintain mission-focused software applications and data platforms

• Build and support ETL pipelines, APIs, and data integration workflows

• Develop web-based tools for analysis, visualization, and decision support

• Integrate AI/ML and advanced analytics capabilities into applications

• Collaborate with users and cross-functional teams to deliver scalable solutions

• Support testing, debugging, optimization, and deployment activities

• Contribute to technical direction, documentation, and engineering best practices

For All Levels - Preferred Skills

• Strong problem-solving and analytical abilities

• Experience working in Linux/Unix and Dockerized environments

• Familiarity with AWS cloud services and DevOps methodologies

• Ability to work independently and collaboratively in fast-paced mission environments

• Strong written and verbal communication skills

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:

Pay Range:

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.