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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full Stack Engineer - **Company:** Rapsys Technologies - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** JavaScript (Programming Language), Artificial Intelligence, Amazon Web Services, Amazon S3, Application Integration Architecture, Computing Platforms, Automation of Tests, Cascading Style Sheets (CSS), Software as a Service, Cloud Computing, Cloud Computing Security, Cloud Storage, Code Review, Databases, Continuous Integration, Data Stores, Relational Databases, Cursor (Graphical User Interface Elements), DevOps, Programming Tools, Django Web Framework, Amazon DynamoDB, Identity and Access Management, Python (Programming Language), PostgreSQL, Machine Learning, Node.Js, Next.js, Software Engineering, TypeScript, Web Applications, Datadog, AWS Cdk, Data Logging, Google Cloud, Cloud Monitoring, Tailwind, GitHub Copilot, ReactJS, Large Language Models, Grafana, Multi-Agent Systems, Cypress (Programming Language), Technical Debt, Backend, Gitlab, Fastapi, Pytest, Containerization, Gitlab-ci, AWS Aurora, Deployment Automation, Playwright, Graphql, Front End Software Development, Cloudwatch, Api Gateway, NestJS, Restful APIs, Terraform, Serverless Computing, Docker, Microservices - **Published:** May 30, 2026 - **Apply:** https://www.dice.com/job-detail/d191ab18-4bfd-413f-9397-368ce29bd3b3 ## About the Role To be successful in this role, you should have hands-on, production-level experience with the following technologies: * Frontend: TypeScript, React, Next.js, and modern CSS frameworks (e.g., Tailwind CSS). * Backend: Node.js (Express/NestJS) and/or Python (FastAPI/Django). * Databases: Relational databases (PostgreSQL/AWS Aurora) and Vector Data Stores (Amazon OpenSearch Serverless, pgvector, or Pinecone). * Cloud Infrastructure (AWS or Google Cloud Platform): Deep familiarity with AWS services (Lambda, ECS/EKS, S3, API Gateway) and Infrastructure as Code (Terraform or AWS CDK).Cloud Infrastructure (AWS or Google Cloud Platform): Deep familiarity with AWS services (Lambda, ECS/EKS, S3, API Gateway, DynamoDB) and Google Cloud Platform services (Cloud Functions, GKE, Cloud Storage, Cloud Pub/Sub), and Infrastructure as Code (Terraform or AWS CDK/Google Cloud Platform Deployment Manager). AI & Orchestration: Amazon Bedrock (interacting with Foundation Models like Claude or Llama), Google Vertex AI, LangChain/LlamaIndex, and RAG architectures. * DevOps & CI/CD: Docker, GitLab CI, and observability tools (Datadog, AWS CloudWatch, Google Cloud Monitoring, Google Cloud Logging). * Testing: Automated testing frameworks across the stack (Jest, PyTest, Playwright, or Cypress). * Developer Tools: Advanced proficiency with AI coding assistants (Cursor, GitLab Duo, Claude Code). What We're Looking For * Experience: 5+ years of full-stack engineering experience, with a demonstrated history of building and scaling comprehensive web applications or SaaS platforms. * Quality & Architecture Focus: You view AI as an accelerator, not a replacement for good design. You possess the ability to review and refactor code rigorously, ensuring maintainability and preventing technical debt. * DevOps Mindset: You don''t just write code; you know how to safely deploy, monitor, and maintain it in a cloud-native environment. Good to Have * Experience establishing developer platforms or internal tooling to improve team velocity. * Background in advanced cloud security and IAM role management. * AWS Certifications (e.g., AWS Certified Developer, DevOps Engineer, or Machine Learning Specialty). ## Description We are looking for a pragmatic, high-output Senior Engineer to help revolutionize our technology ecosystem. You will build intelligent systems that serve thousands of internal users, removing manual friction through agentic workflows and high-level AI orchestration. What You Will Do * Platform & App Development: Architect, build, and scale end-to-end applications. You will take ownership of major platform features, ensuring they are performant, scalable, and resilient. * Frontend Engineering: Build responsive, highly interactive, and accessible user interfaces. You will manage complex global state and optimize frontend performance. * Backend Engineering: Design and implement robust RESTful and GraphQL APIs. You will architect microservices or modular monoliths that can handle high-throughput enterprise traffic. * Modern DevOps & CI/CD: Design and maintain automated CI/CD pipelines. You will enforce strict automated testing, containerization, and deployment strategies (Blue/Green, Canary) to ensure AI-assisted code is safely tested and deployed. * Enterprise AI Integration (AWS Bedrock or Vertex etc): Integrate LLMs into our platform using Amazon Bedrock or Vertex. You will build highly secure RAG pipelines, manage vector databases, and implement AI features that directly drive user value. * AI-Assisted Engineering: Utilize tools like Cursor or GitHub Copilot to accelerate the generation of boilerplate and standard logic, while focusing your human effort on platform architecture, code review, and system design. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) ## Related Articles - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs)