Full-Stack & AI Engineer

SS8•Milpitas, CA

9h•$110,000 - $135,000

About The Position

SS8 is a leader in Lawful and Location Intelligence, dedicated to making societies safer by extracting, analyzing, and visualizing critical intelligence for law enforcement, intelligence agencies, and emergency services. Our solutions enable mobile network operators to achieve regulatory compliance efficiently. We are seeking a highly motivated and visionary Full-Stack Engineer with deep expertise in Artificial Intelligence to join our core engineering team. This role is crucial for advancing our flagship platforms like Intellego® XT, Discovery, and LocationWise. You will be responsible for designing, building, and deploying complex end-to-end distributed systems and AI-powered applications that process massive volumes of multi-modal investigative data. This position operates at the intersection of full-stack engineering and AI, focusing on building next-generation web interfaces, geospatial intelligence tools, and generative AI pipelines to transform complex data into actionable clarity for law enforcement.

Requirements

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).
Deep expertise in frontend development using React.js, with a proven track record of delivering complex UIs (e.g., data-heavy dashboards, mapping, and geo-location products).
Verifiable experience building and deploying Deep Learning and Generative AI solutions (e.g., LLM-based UIs, voice/image/video analytics using open-source models).
Practical experience incorporating AI-assisted coding tools (Claude Code, GitHub Copilot/Codex, Devin) into your daily engineering workflow.
Strong understanding of enterprise security concepts, specifically OAuth and AD integration.

Nice To Haves

Hands-on DevOps, CI/CD, and infrastructure-as-code deployment experience, specifically within AWS.
Additional background in large-scale big data platform development, data crawling and data engineering/processing.
Previous experience in lawful intercept, telecommunications data (5G, IMSI/IMEI tracking), cybersecurity analytics, or digital forensics.
Proficiency with Golang and Rust.

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.