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Location: Jacksonville, FL

Remote: Yes

Willing to relocate: Yes

Technologies:

Languages: Python, TypeScript, JavaScript, Go, SQL, Bash Frontend: React, Next.js, Redux, RxJS, Tailwind CSS, HTML5, CSS3 Backend & Architecture: Node.js, NestJS, Express.js, FastAPI, Django, Microservices, REST APIs, GraphQL, gRPC, WebSockets, Event- Driven Architecture Messaging & Distributed Systems: Apache Kafka, Google Cloud Pub/Sub, RabbitMQ, ZeroMQ Databases & Caching: PostgreSQL, MongoDB, MySQL, Redis, Elasticsearch, Prisma ORM Cloud & Infrastructure: AWS (ECS, EKS, Fargate, Lambda, API Gateway, S3, RDS, SQS, Step Functions, CloudFormation), GCP (GKE, Pub/Sub, Cloud Storage), Docker, Kubernetes, Terraform AI & LLM: OpenAI, Anthropic, LangChain, LlamaIndex, RAG, Vector Databases, Semantic Search, Prompt Engineering, Agentic AI, Tool Calling Testing & Quality: Jest, Cypress, Playwright, Unit & Integration Testing, Code Reviews API & Business Integrations: Salesforce, Stripe, Twilio, SendGrid, Microsoft Graph, OAuth 2.0, JWT, Auth0 DevOps & Observability: GitHub Actions, Jenkins, CI/CD, Grafana, Prometheus, CloudWatch, OpenTelemetry, Datadog Engineering Practices: Git, Agile/Scrum, Jira, System Design, Technical Documentation, Mentoring AI-Assisted Development: Claude Code, Cursor, GitHub Copilot

Résumé/CV:https://drive.google.com/file/d/1pUS80ZK3fA1qFAmfgxJCjfW4iFN...

Email: davidlang0422@outlook.com

Software Engineer with 8+ years of experience building and scaling production applications across frontend, backend, and cloud infrastructure. Progressed from frontend development into full-stack and senior engineering roles, with hands-on expertise in Python, Node.js, Go, React, TypeScript, AWS, and GCP. Experienced designing microservices, event-driven systems, and CI/CD pipelines, with a consistent record of improving reliability, reducing latency, and shortening release cycles. Most recently focused on integrating LLM-powered capabilities, including RAG pipelines and agentic tool-calling workflows, into production applications. Approaches engineering by pairing full-stack fundamentals with an early, hands-on evaluation of emerging tools, then translating that evaluation into practical, production-ready systems.

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