Fullstack Developer (B2B/SaaS, Enterprise Software, Cloud Platforms)

• 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, Additional Tools Experience needed;
• Docker
• Kubernetes
• GitHub Actions
• AWS CDK
• CI/CD pipelines

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, * 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, * Data Engineering
• Machine Learning / AI Engineering
• LLM or Generative AI applications
• AI infrastructure or model deployment
• DevOps / Cloud Infrastructure
• Security Engineering