Full Stack Software Engineer - Systems Integration

General Description:

We’re seeking a seasoned Full Stack Software Engineer with a passion for developing robust software modules and integrating system components into cohesive, high-performing platforms. The ideal candidate is a proactive problem-solver with experience across front-end and back-end technologies—and a curiosity for exploring system vulnerabilities.

Essential Duties:

Design, develop, and implement software modules as part of a larger integrated system.

Integrate system components into cohesive, high-performing platforms.

Manage repositories and CI/CD workflows using GitHub and GitLab.

Write clean, efficient, and maintainable code across the stack (UI, server-side, database, APIs).

Develop unit, integration, and system tests using frameworks like PyTest, JUnit, or Selenium

Create and maintain technical documentation, including README files, API references, build instructions, and troubleshooting guides.

Collaborate with cross-functional teams to ensure seamless system integration and interoperability. 

Participate in design reviews and technical architecture discussions.

Troubleshoot, debug, and optimize system performance.

Contribute to the evolution of system security and reliability.

Required Skills: 

3+ years of professional experience in full stack development.

Proficiency in languages such as Python, JavaScript, C++, or Java.

Hands-on experience with containerization and orchestration tools like Docker and Kubernetes

Experience deploying and managing applications in AWS, Azure, or GCP

Strong understanding of software integration methodologies and system architecture.

Demonstrated ability to write and maintain developer documentation.

Strong communication and team collaboration skills in agile environments.

Ability to mentor junior developers and champion code quality.

Hands-on experience with modern frameworks (React, Node.js, Django, etc.) is a plus

With additional skills, development will primarily be focused on security and vulnerability tools, from firmware to networks.

Expertise in machine learning and artificial intelligence is highly advantageous.

Familiarity with reverse engineering, binary analysis, and software vulnerability identification is a bonus

Experience using tools like IDA Pro, Ghidra, or Binary Ninja is a bonus

Knowledge of secure coding practices and threat modeling is a bonus

Additional development effort 

Experience developing and training models using TensorFlow, PyTorch, or Scikit-learn.

Familiarity with deep learning architectures such as CNNs, RNNs, and Transformers. 

Knowledge of data preprocessing, feature engineering, and supervised/unsupervised learning techniques.

Required Education:

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.

Special Requirements:

US Citizenship

Compensation:

The base salary range for this full-time position is $120,715 - $150,895 + bonus + benefits.

Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range during the hiring process. Please note that the compensation details listed reflect the base salary only, and do not include potential bonus or benefits.

We are proud to be an EEO/AA employer M/F/D/V. We maintain a drug-free workplace and perform pre-employment substance abuse testing.