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Full Stack Software Engineer

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SecuneticsReston, VAApril 12th, 2026

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Secunetics is a leader in IT infrastructure assessment, design, and optimization. We are a focused team of enthusiastic colleagues working together on a diverse and challenging set of projects. We are looking to grow our team and are seeking a Full-Stack Software Engineer to work on a range of projects, from web applications to network and security tools. We value creative, strategic thinkers with demonstrated interest and skills in fields across the spectrum of information technology. United States citizens and those authorized to work in the United States are encouraged to apply.Who you are:You are clearable to the Top Secret levelYou are passionate and curious about technologyYou have experience with the full software development lifecycleYou are committed to work with a like-minded team to learn and grow in your field of expertiseYou have an eye for details and consistencyYou have strong communication skills (listening, verbal, and written)You think creatively and enjoy working in a collaborative environmentYou enjoy interacting with clients to satisfy their goals and objectivesWe are looking for a team member with the following skills and experience:Expertise developing high-performance web application backends using Python and web frameworks such as Django, Flask, or PyramidExperience with Python data analysis libraries such as NumPy and pandasProficiency with web UI/UX design and development with React and JavaScriptExperience developing automated unit tests and end-to-end testsExperience developing and consuming RESTful APIsExperience developing with relational databases, such as Oracle, PostgreSQL, or MySQLUnderstanding of web application security risks and mitigationsExcellent problem-solving skills with ability to analyze situations, identify potential problems, and recommend solutionsRelevant professional experience and/or a computer science or engineering degreeAdditional preference is given for the following:Experience developing applications for cloud-based platforms, such as Google Cloud Platform (GCP) or Amazon Web Services (AWS)Experience with Artificial Intelligence (AI), Machine Learning (ML), and Natural Language Processing (NLP) technologies and libraries, such as OpenAI, Gemini, Tensorflow, Scikit-learn, and spaCyExposure to networking and security concepts and technologiesExperience with containerization (e.g., Docker) and container orchestration with KubernetesFamiliarity with enterprise management and performance engineering conceptsActive US Secret or Top Secret clearanceUndergraduate or graduate degree in Computer Science or a related field