What are the responsibilities and job description for the Full Stack Software Engineer position at Secunetics?
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 level
- You are passionate and curious about technology
- You have experience with the full software development lifecycle
- You are committed to work with a like-minded team to learn and grow in your field of expertise
- You have an eye for details and consistency
- You have strong communication skills (listening, verbal, and written)
- You think creatively and enjoy working in a collaborative environment
- You enjoy interacting with clients to satisfy their goals and objectives
We 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 Pyramid
- Experience with Python data analysis libraries such as NumPy and pandas
- Proficiency with web UI/UX design and development with React and JavaScript
- Experience developing automated unit tests and end-to-end tests
- Experience developing and consuming RESTful APIs
- Experience developing with relational databases, such as Oracle, PostgreSQL, or MySQL
- Understanding of web application security risks and mitigations
- Excellent problem-solving skills with ability to analyze situations, identify potential problems, and recommend solutions
- Relevant professional experience and/or a computer science or engineering degree
Additional 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 spaCy
- Exposure to networking and security concepts and technologies
- Experience with containerization (e.g., Docker) and container orchestration with Kubernetes
- Familiarity with enterprise management and performance engineering concepts
- Active US Secret or Top Secret clearance
- Undergraduate or graduate degree in Computer Science or a related field
