Full-Stack & AI Engineer

As a leader in Lawful and Location Intelligence, SS8 helps make societies safer. Our commitment is to extract, analyze, and visualize the critical intelligence that gives law enforcement, intelligence agencies, and emergency services the real-time insights that help save lives. Our high performance, flexible, and future-proof solutions also enable mobile network operators to achieve regulatory compliance with minimum disruption, time, and cost.

SS8 is trusted by the largest government agencies, communications providers, and systems integrators globally. Overview We’re looking for a highly motivated and visionary Full-Stack Engineer with deep expertise in Artificial Intelligence to join our core engineering team. In this role, you will be instrumental in advancing our flagship platforms like Intellego® XT, Discovery, and LocationWise.

You will design, build, and deploy complex end-to-end distributed systems and AI-powered applications that process massive volumes of multi-modal investigative data. Working at the intersection of full-stack engineering and AI, you will build next-generation web interfaces, geospatial intelligence tools, and generative AI pipelines that help law enforcement turn complex data into actionable clarity. What You'll Work On Developing complex, end-to-end distributed web applications on cloud-native platforms, primarily utilizing AWS.

, artifact detection) using open-source models. Building interactive, LLM-driven frontends and complex UI applications involving dynamic dashboards and precise mapping/geolocation for our location intelligence products. Designing scalable, high-throughput backend architectures utilizing Kubernetes, Kafka, Redis and distributed data stores.

Utilizing AI-assisted coding tools (like Claude Code, Codex, or Devin) to dramatically accelerate development, code reviews, and automated testing cycles.

Key Responsibilities

Architect, implement, and maintain high-performance full-stack applications using React (and related ecosystems) for the frontend and robust distributed technologies for the backend. Design, implement and troubleshoot microservices within Kubernetes-based environments, ensuring high availability and fault tolerance. Develop and optimize scalable data processing pipelines utilizing distributed systems theory, caching (Redis), search engines (OpenSearch), event streaming (Kafka), and diverse database architectures (Graph, Relational, Document, Multimodal).

Drive the operationalization of Deep Learning and Generative AI models into production environments to augment human analysts. Implement secure, hardened access controls via robust OAuth and Active Directory (AD) integrations to maintain evidentiary integrity and auditability. Lead by example in modern software engineering practices, leveraging AI coding assistants for enhanced productivity and mentoring peers.

Qualifications

3-5 years of professional full-stack development experience building complex, large-scale distributed systems. Familiarity with Java, Python and JavaScript/Typescript based development. Extensive hands-on experience with cloud-native platforms such as AWS (preferred), GCP, or Azure.

Proficiency in Kubernetes-based orchestration, deployment, and operational troubleshooting. Solid engineering background in distributed systems and state management (Kafka, Redis, OpenSearch, and various multi-modal databases). , data-heavy dashboards, mapping, and geo-location products).