Senior Full Stack Engineer

About the Role

Paradigm is hiring a highly skilled, mission-driven Senior Full-Stack Engineer to co-lead core product development, drive technical decision-making, and help shape our engineering culture. This is a foundational role in our early-stage startup, meaning you will work across the stack, contribute to architecture decisions, and help scale our infrastructure securely and efficiently. Responsibilities include:

• Development: Design, build, test, and optimize our Next.js frontend and Django REST API backend.
• Architecture: Work with the CTO & DevSecOps contractor to design scalable, CJIS-compliant infrastructure and secure deployment processes.
• Collaboration: Work closely with data engineers, AI specialists, product owners, and legal experts to ensure our product meets the real-world needs of modern prosecutors.
• Influence: Help define company culture, inform business and product decisions, and champion engineering best practices as we scale.

Qualifications:

• 5+ years of experience in full-stack web development, with a strong foundation in both backend and frontend technologies.
• Expertise in Python (Django), JavaScript/TypeScript (React, Next.js), and SQL (PostgreSQL preferred)
• Deep understanding of REST API development, including authentication (OAuth, JWT), security best practices, and performance optimization.
• Hands-on experience with containerized deployments, including Docker, CI/CD testing and automation, and deployment pipelines.
• Strong problem-solving skills, with a focus on scalability, maintainability, and security in production environments.
• Commitment to writing clean, well-tested code that adheres to engineering best practices and software design principles.

Nice-to-Haves:

• Experience leading Agile/Scrum teams, including sprint planning, backlog grooming, and fostering a collaborative engineering culture.
• Proficiency in cloud infrastructure, particularly AWS services (S3, Lambda, ECS, RDS), with experience in infrastructure-as-code (Terraform preferred).
• Expertise in securing AWS-hosted applications, including IAM policies, encryption (KMS), and working within compliance-heavy environments (CJIS, FedRAMP, SOC 2, HIPAA).
• Familiarity with government software, criminal justice systems, or legal technology, particularly in data governance and security regulations.
• Experience integrating machine learning models or NLP into web applications, enabling AI-driven insights and predictive analytics at scale.