Software Engineer, Enterprise Corrections - Courts & Justice

Responsibilities

• Develop and maintain features for Corrections Solutions products with a focus on security, performance, and testing.
• Collaborate with Product Management and Engineering to ensure quality in a fast-paced, agile environment.
• Write clean, maintainable code, and conduct thorough code reviews.
• Design, implement, actively use, and maintain agentic coding workflows that leverage AI to generate, test, debug, and optimize software solutions.
• Automate and improve build and deployment processes to enhance efficiency and reliability.
• Design and integrate Web Services/APIs as part of product development.
• Work with relational databases (e.g., MySQL) to develop, optimize, and maintain data-driven features.
• Identify technical debt and implement solutions to improve team productivity.
• Confidently deliver features with minimal guidance and support larger projects.
• Participate in on-call rotations to troubleshoot product, security, and urgent engineering issues.
• Create and maintain documentation for recurring issues, knowledge transfer and standard procedures.

Qualifications

• 1-3 years of professional software development experience, including designing, building, and maintaining SaaS applications.
• Fundamental understanding of software engineering principles, design patterns, and scalable architecture.
• Experience working with relational databases, including schema design, querying, and performance tuning.
• Familiarity with cloud platforms (e.g., AWS, Azure, or Google Cloud) and cloud-native development practices.
• Experience with agentic coding tools and AI-assisted software development workflows, including the ability to leverage AI systems to generate, debug, and optimize code.
• Experience with CI/CD pipelines and modern DevOps workflows.
• Strong communication and problem-solving skills, with the ability to work effectively in cross-functional teams.
• Proven ability to prioritize and deliver quality software in an Agile environment.
• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• Nice to have: Experience with Node.js, familiarity with Web Services, AWS, Docker, Kubernetes, and experience with automating build and deployment processes.