Summary
BigBear.ai is a leading provider of AI-powered decision intelligence solutions for national security, supply chain management, and digital identity. They are looking for a Frontend Focused Full-Stack Engineer to design and build critical user interfaces that support CNO operators and analysts, ensuring efficient operational workflows.
Responsibilities
- Design and develop clean, responsive, and highly intuitive frontend interfaces to display complex mission data
- Communicate directly with analysts and operators to gather feedback, understand their workflows, and rapidly integrate their needs into software solutions
- Identify bottlenecks in operational workflows and build automated solutions to make our users more efficient
- Work closely with a tight knit, cross functional team to solve ambiguous problems, even when starting with minimal initial knowledge of the domain
Skills
- 3 or more years of software engineering experience with a Bachelor's degree in a technical discipline
- Or 7 or more years of experience (substituting 4 years of additional engineering experience in place of a Bachelor's degree)
- Strong hands-on experience with JavaScript/TypeScript, HTML, and CSS
- Proven experience developing web applications using frameworks such as React, Angular, or similar
- Familiarity with relational databases (e.g., PostgreSQL, SQLite, MySQL)
- Basic knowledge of Docker containerization
- Experience using Git for version control
- Comfort navigating and working within a Linux command-line environment
- CNO Domain Knowledge: Prior experience working within the Computer Network Operations space
- Expanded Tech Stack: Experience with backend frameworks (e.g., FastAPI, Spring Boot) or other frontend libraries like Vue.js
- Programming experience in Java, Python, Bash, or PowerShell
- NoSQL Databases: Experience with non-relational databases such as Elasticsearch or MongoDB
- DevOps & Cloud: Experience with CI/CD pipelines, GitLab CI, Kubernetes, or Ansible
- Any active AWS or cloud provider certifications
- Advanced Analytics: Exposure to data science and machine learning concepts
Qualifications
Must Haves
- 3 or more years of software engineering experience with a Bachelor's degree in a technical discipline
- Or 7 or more years of experience (substituting 4 years of additional engineering experience in place of a Bachelor's degree)
- Strong hands-on experience with JavaScript/TypeScript, HTML, and CSS
- Proven experience developing web applications using frameworks such as React, Angular, or similar
- Familiarity with relational databases (e.g., PostgreSQL, SQLite, MySQL)
- Basic knowledge of Docker containerization
- Experience using Git for version control
- Comfort navigating and working within a Linux command-line environment
Nice to Haves
- CNO Domain Knowledge: Prior experience working within the Computer Network Operations space
- Expanded Tech Stack: Experience with backend frameworks (e.g., FastAPI, Spring Boot) or other frontend libraries like Vue.js
- Programming experience in Java, Python, Bash, or PowerShell
- NoSQL Databases: Experience with non-relational databases such as Elasticsearch or MongoDB
- DevOps & Cloud: Experience with CI/CD pipelines, GitLab CI, Kubernetes, or Ansible
- Any active AWS or cloud provider certifications
- Advanced Analytics: Exposure to data science and machine learning concepts