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Full Stack Developer (backend focus) _ Remote

Ina SolutionRemoteMay 23rd, 2026
Title: Full Stack Developer (Backend)Location: RemoteDuration: Full-TimeAbout The RoleOur client, a forward-thinking company, is on the lookout for an exceptional Senior Software Engineer. In this role, you will contribute to the development of innovative AI-driven software designed to revolutionize how district attorneys and detectives handle critical tasks. This position offers the chance to directly impact public safety by leveraging cutting-edge technology to streamline operations within the law enforcement sector.Key ResponsibilitiesStrategic Collaboration: Work alongside a dynamic team of software engineers, machine learning scientists, and product designers to create robust AI solutions.AI Integration: Apply the latest advancements in Machine Learning and Artificial Intelligence to continuously improve our client's products.Cloud-Native Architecture: Utilize modern cloud-native frameworks, including event-driven microservices and serverless technologies, to ensure system scalability, reliability, and cost efficiency.DevOps Practices: Implement CI/CD pipelines to automate software development and deployment, ensuring efficient and smooth release cycles.Infrastructure as Code (IaC): Manage and provision cloud resources effectively using IaC practices to maintain a high level of infrastructure efficiency.High-Quality Coding: Write clean, efficient, and maintainable code that follows industry best practices, focusing on performance and scalability.Data-Driven Development: Leverage data insights and customer feedback to optimize and enhance the user experience.QualificationsMinimum of 7+ years of professional software development experience, with a proven track record in delivering high-quality, well-tested products.Advanced proficiency in cloud platforms like AWS, with experience in serverless technologies, Python, and Golang.Experience with modern data stores such as PostgreSQL, NoSQL, and Elasticsearch.Strong background in Machine Learning (ML), successfully putting ML-driven products into production and providing ongoing support.Proven experience in system architecture and design, particularly in building scalable and reliable software systems.Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is preferred.Passionate about technology, particularly in using AI to drive positive change in law enforcement.