Job Description Our Ft. Lauderdale based client is looking for a Principal Software Engineer to architect and build their core software platform. This isn't a maintenance roleyou'll be building from the ground up, making foundational technical decisions, and shipping production systems that directly impact operations, customer experience, and business growth. You'll work alongside the CTO, product managers, and operations leaders to build customer-facing applications, internal tools, AI-powered automation, and the data infrastructure that ties it all together. If you thrive on ownership, move fast with AI-assisted development, and want to see your code in productionnot buried in a backlogthis is the role. Stack: Python, Rust, Node, TypeScript/React, AWS, Databricks/Snowflake, N8N, LLM APIs We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements 8+ years of software engineering experience, with 3+ years in senior/staff/principal roles Proven experience in greenfield SaaS product development utilizing AI-driven solutions Proven track record shipping production applications end-to-end (not just contributing to large teams) Strong full-stack capabilities: you can build a React frontend, design a database schema, write backend APIs, and deploy to cloud infrastructure Proficiency with AI coding assistants (Claude, Cursor, Copilot) and ability to leverage them for 2-3x productivity gains Experience building integrations between SaaS platforms and custom applications Strong Python skills; comfortable with TypeScript/JavaScript ecosystem AWS experience (or equivalent cloud platform depth) Excellent communication skills; able to work directly with non-technical stakeholders Experience with complex billing systems, financial calculations, or fintech applications Startup or early-stage company experience where you wore multiple hats Experience building AI agents, LLM-powered applications, or RAG systems in production Background in operations software, logistics, scheduling optimization, or fleet management Mobile development experience (React Native or native iOS/Android) Data engineering background: ETL/ELT pipelines, data modeling, analytics infrastructure

The role requires a minimum of eight years of software engineering experience, with at least three years in senior, staff, or principal positions. Proven experience in developing greenfield SaaS products using AI-driven solutions is essential. Candidates must demonstrate a track record of shipping production applications end-to-end. Strong full-stack capabilities are necessary, including building frontends, designing databases, writing backend APIs, and deploying to cloud infrastructure. Proficiency with AI coding assistants like Claude, Cursor, and Copilot is expected to enhance productivity. Experience with integrations between SaaS platforms and custom applications, as well as strong Python skills and familiarity with the TypeScript/JavaScript ecosystem, are also required. AWS experience or equivalent cloud platform depth is necessary. Excellent communication skills are important for working with non-technical stakeholders. Experience with complex billing systems, financial calculations, or fintech applications, along with startup or early-stage company experience, is beneficial. Building AI agents, LLM-powered applications, or RAG systems in production is a key requirement. A background in operations software, logistics, scheduling optimization, or fleet management, and mobile development experience are also mentioned. A data engineering background, including ETL/ELT pipelines, data modeling, and analytics infrastructure, is also relevant.