Full Stack Software Engineer - Systems Integration

About the position

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.

Responsibilities

• 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.

Requirements

• 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.

Nice-to-haves

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

Benefits

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