
201 - 500 employees
Founded 1962
📡 Telecommunications
💼 Consulting
🔒 Cybersecurity
💰 Private Equity Round on 2018-10
Telecommunications • Consulting • Cybersecurity
JSI is a consulting and broadband solutions leader, offering communications providers a complete range of financial, engineering, regulatory, operational, and strategic services to help them find success at every stage of their businesses. Since 1962, JSI has partnered with hundreds of independently owned telecommunications companies across the United States, providing them with the essential tools and guidance needed to improve and expand their broadband services.
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201 - 500 employees
Founded 1962
📡 Telecommunications
💼 Consulting
🔒 Cybersecurity
💰 Private Equity Round on 2018-10
Telecommunications • Consulting • Cybersecurity
JSI is a consulting and broadband solutions leader, offering communications providers a complete range of financial, engineering, regulatory, operational, and strategic services to help them find success at every stage of their businesses. Since 1962, JSI has partnered with hundreds of independently owned telecommunications companies across the United States, providing them with the essential tools and guidance needed to improve and expand their broadband services.
• Design and develop full-stack applications, AI-enabled tools, SaaS products, APIs, and supporting services. • Establish JSI's software architecture and development framework for rapidly moving ideas from prototype to MVP to production. • Serve as a hands-on architect, writing production code while providing technical direction and architectural leadership. • Develop reusable application templates, components, libraries, APIs, AI services, and development tools. • Establish standards and best practices for AI-assisted software development using modern AI coding tools and agents. • Build and maintain development guardrails for safely using AI-generated code in production. • Establish architecture, coding, testing, documentation, code-review, security, and deployment standards. • Develop and maintain source-control standards, automated testing, CI/CD pipelines, dependency management, and release processes. • Architect and develop AI applications using LLMs, RAG, agents, MCP/tool integration, vector search, and external APIs. • Design secure application architectures covering authentication, authorization, secrets management, data protection, API security, and customer data isolation. • Establish scalable SaaS patterns, including multi-tenant architecture and enterprise-system integration. • Architect solutions incorporating geospatial/GIS systems where relevant to telecom and broadband engineering work. • Evaluate new AI models, development tools, frameworks, cloud services, and technologies. • Review internally and externally developed software for architecture, security, maintainability, performance, and production readiness. • Collaborate with the CTO, product owners, subject-matter experts, and business leaders to translate business problems into working software. • Provide technical leadership and architectural oversight to internal developers and outside technology and development partners. • Create a repeatable development environment enabling rapid MVP development and eventual production deployment.
• Demonstrated full-stack software development experience architecting and developing production applications across front-end, back-end, database, API, cloud, security, and deployment layers. • Strong hands-on software development skills, including significant experience with Python and modern web application technologies. • Experience with React, Next.js, JavaScript, and/or TypeScript. • Experience designing and developing APIs, backend services, and integrations. • Strong experience with relational databases and modern application data architectures. • Experience designing and deploying applications in Azure, AWS, or comparable cloud environments. • Working knowledge of Git/GitHub, CI/CD, automated testing, containers, deployment, monitoring, and modern DevOps practices. • Strong understanding of application security, authentication, authorization, API security, secrets management, and secure software-development practices. • Experience designing scalable, reliable, maintainable production software. • Ability to make sound architectural decisions while supporting rapid MVP development. • Practical experience with generative AI technologies, including several of: LLM APIs, RAG, AI agents and tool calling, embeddings and vector databases, MCP, prompt and context engineering, AI application evaluation and testing, AI security and data protection, and AI-assisted software development and coding agents. • Experience using AI coding tools to accelerate professional software development while maintaining architecture, security, testing, documentation, and code-review standards is strongly preferred.
• Competitive salary + performance-based bonuses. • Comprehensive benefits package (medical, dental, vision, 401(k)). • Generous PTO and wellness opportunities. • Ongoing professional development and educational opportunities.
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