Full-Stack & AI Engineer

SS8 Networks, Inc.
Milpitas, CA, United States
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$110,000.0 - $135,000.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) JavaScript (Programming Language) Geographic Information Systems Active Directory Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Code Review Databases Content Analysis Continuous Integration
+34 more
Information Engineering Data Infrastructure DevOps Digital Forensics Distributed Data Store Distributed Systems Fault Tolerance Python (Programming Language) OAuth Open Source Technology Open Source Intelligence Redis Software Deployment Data Streaming Systems Integration TypeScript Web Applications Cloud Platform System GitHub Copilot ReactJS System Availability Large Language Models Deep Learning Caching Generative AI Backend Kubernetes Apache Kafka Search Engines Data Management Front End Software Development Data Pipelines Golang Microservices

Job description

  • Developing complex, end-to-end distributed web applications on cloud-native platforms, primarily utilizing AWS.

  • Integrating and deploying LLM and deep learning-based applications, including voice analytics (such as OpenAI Whisper), document analysis, and image/video intelligence (e.g., 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.

  • Collaborating with cross-functional teams to engineer data platforms that fuse network intelligence, open-source intelligence, and high-precision location data into a “single pane of glass.”

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.

Requirements

Do you have experience in Web applications?, * 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).

Must Have

  • 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 Have

  • 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.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance, The expected base salary range for this position is $110,000 - $135,000. Actual compensation will be determined based on the candidate’s skills, experience, and qualifications. This role is also eligible to participate in SS8’s corporate bonus program, subject to the terms of the applicable plan. We offer a comprehensive benefits package including medical, dental, vision, 401(k) with company match, and paid time off.

SS8 is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity or expression, sexual orientation, age, disability, protected veteran status, or any other status protected by applicable law.

SS8 does not accept unsolicited resumes from staffing agencies, search firms, or third parties. Any resumes submitted without a signed agreement in place will be considered the property of Company, and no fees will be paid if a candidate is hired as a result.

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