Junior Full Stack Software Engineer

Visionist, Inc. • Laurel, MD

2d • $115,000 - $159,000

About The Position

Visionist has an exciting new opportunity for a Junior Full Stack Software Engineer. You will be joining a critical mission supporting our customers big data processing platforms. The analytics developed and deployed in these ecosystems are critical to ensuring that the data flowing through the agency can be leveraged by analysts to perform mission critical reporting and decision making. You will be working with the newest technology and methodologies for processing mass amounts of data and distilling them into actionable results. If you like this type of work environment, then this is for you!
For over 14 years, Visionist has been solving the Intelligence Community's toughest software and analysis challenges. As a 100% employee-owned company, we prioritize our people—your job security is assured. We embed small engineering teams with analysts to rapidly identify and solve mission capability gaps playing a critical role in defending our nation’s cyber infrastructure & providing expertise in malware analysis, attribution, mapping adversarial infrastructure, pen testing, and operational planning. Our open-door leadership team fosters a supportive culture, where internal growth and promotion opportunities are the norm. Don’t just take our word for it—check out our 4.8-star review on Glassdoor. Join a company that feels like a family with regular happy hours, baseball games, activity clubs and more. Check us out at www.visionistinc.com.

Requirements

• Active Top Secret (TS/SCI) clearance with polygraph is required.
• Bachelor's degree in a technical discipline. (Additional 4 years of experience may substitute degree)
• 3 years of experience in software development
• AWS Professional Certification
• Experience contributing to production systems
• Familiarity with high-volume web application architectures
• Exposure to cloud engineering, preferably AWS
• Working knowledge of Kubernetes concepts and containerized deployments
• Proficiency in Python
• Familiarity with CI/CD pipelines and DevOps practices
• Ability to learn new technologies quickly and adapt in fast-moving environments
• Strong communication skills and a willingness to ask questions and collaborate
• U.S citizenship required (green card holders and permanent residents are not eligible). Applicants selected will be required to obtain / maintain a government security clearance.

Responsibilities

• Implement and support infrastructure for AI model inference under the guidance of senior engineers
• Contribute to the development and maintenance of production AI services and applications, including retrieval-augmented generation (RAG) and autonomous agents
• Participate in implementing monitoring, logging, and observability for AI services
• Assist with automating infrastructure provisioning and configuration using Infrastructure as Code (IaC) principles
• Help ensure the availability, reliability, and performance of AI platform components
• Follow established security best practices for AI systems and data
• Work effectively in ambiguous problem spaces, learning to define structured and scalable solutions
• Collaborate with cross-functional teams and contribute to shared engineering standards

Benefits

• We are a 100% employee-owned company, so our employees see the benefit of their contributions and have a stake in our overall success!
• Competitive 15% retirement contribution! (5% 401K match & 10% ESOP)
• 4 weeks paid time off that is never “use or lose”, 12 paid holidays, comp time, overtime, AND flexible work hours
• 80 hours of paid parental leave with an additional $8,000 supplemental payment upon returning from maternity
• Medical, dental, & vision benefits for both individuals and families (those who waive medical benefits will receive an additional $4,160/year)
• Annual lifestyle bonus of $600 – use it towards gyms/fitness, new tech, or your HSA!
• Annual merit increases & performance-based bonuses
• Term life insurance, short-term disability, & long-term disability

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level