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Fullstack Developer (B2B/SaaS, Enterprise Software, Cloud Platforms)
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Talent To Hire Inc.
Redwood City, CA (In Person)
Full-Time
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Job Description
Senior Full-Stack Software Engineer Redwood City, California Build AI. Build Products. Build the Future. Our client is hiring 2 exceptional Full-Stack Software Engineer who thrives on solving complex problems, building scalable systems, and leveraging AI to transform modern software development. This is not a traditional coding role. We are looking for engineers who think in systems, operate well in ambiguity, take full ownership, and can engage directly with stakeholders to design and deliver high-impact solutions. You will contribute to both customer-facing applications and an internal "Software Factory" platform that powers how software is built at scale. Full-Stack application development Experience in a business application setting (e.g. internal tools, business application creation, experience at a Seed - Ser B B2B SaaS ) product focus and user-empathy, candidates who can create a solution which helps systematize manual processes. Understanding of AWS/Devops important. knowing the syntax or having had formal DevOps (CI CD, etc Key Responsibilities Design, build, test, deploy, and support production-grade software systems Develop full-stack applications using modern engineering practices Work directly with customers and stakeholders to define requirements and solution design Contribute to AI-enabled development workflows and next-generation engineering practices Own features end-to-end across the full software lifecycle Collaborate with a high-performing engineering team focused on speed, quality, and innovation Required Skills & Experience Strong professional experience building full-stack web applications Hands-on expertise with: Python TypeScript React AWS Strong understanding of software architecture and data structures Proven ability to own problems end-to-end and learn quickly in fast-moving environments Excellent communication skills with both technical and non-technical stakeholders Strong engineering fundamentals and passion for high-quality software delivery Preferred Experience One or more of the following: Data Engineering Machine Learning / AI Engineering LLM or Generative AI applications AI infrastructure or model deployment DevOps / Cloud Infrastructure Security Engineering Additional Tools Experience needed; Docker Kubernetes GitHub Actions