Full Stack Developer
Summary
Hands-on full stack developer at a global marketing communications network, building applications from scratch through production. Works across Next.js/React/Node.js/TypeScript frontend and backend, AWS deployment, CI/CD and DevOps, plus AI-powered features via LLM APIs and automated AI workflows.
Next.js, React, Node.js, and TypeScript . Build applications from scratch, including architecture, database design, API development, authentication, and deployment. Develop responsive, accessible interfaces and reliable backend services. Deploy and manage applications on
AWS , with attention to security, performance, scalability, and cost. Set up and maintain
CI/CD pipelines
for automated testing, builds, and deployments. Own DevOps activities, including environment configuration, infrastructure automation, monitoring, logging, and troubleshooting. Build
AI-powered solutions
by integrating LLM APIs, enterprise data sources, and external services. Develop
automated AI workflows
for business processes, content operations, and internal productivity. Implement LLM capabilities such as structured outputs, tool calling, and retrieval-augmented generation (RAG), where appropriate. Use
AI-assisted coding tools
to accelerate development while reviewing and validating generated code for quality, security, and maintainability. Collaborate with project managers, designers, and stakeholders to translate requirements into practical technical solutions. Maintain technical documentation, conduct code reviews, and support applications after launch. Required Skills & Experience Proven experience of 8 years, delivering full stack web applications, including projects built from scratch and deployed to production. Strong proficiency in
JavaScript/TypeScript, Next.js, React, and Node.js . Experience designing REST APIs and integrating third-party services. Experience with relational or NoSQL databases, including data modelling and query optimisation. Hands-on experience with
AWS services , such as EC2, ECS, Lambda, S3, RDS, CloudFront, IAM, and CloudWatch. Experience implementing
CI/CD
using GitHub Actions, GitLab CI/CD, Jenkins, or similar tools. Working knowledge of
Docker, infrastructure as code, and DevOps practices . Practical experience integrating
LLMs and AI services , such as OpenAI, Anthropic, or Amazon Bedrock. Experience building AI workflows using code, orchestration frameworks, or automation platforms. Familiarity with AI-assisted development tools such as GitHub Copilot, Cursor, or Codex. Strong understanding of application security, access control, secrets management, testing, and debugging. Ability to work independently, explain technical decisions clearly, and take ownership from requirements through deployment and support. Nice to Have Experience with AI agent workflows. Experience with workflow automation platforms such as n8n, LangChain, or equivalent. Familiarity with AWS Experience with automated testing tools Experience evaluating AI output quality and managing latency, token costs, data privacy, and failure handling.
Skills
- AI
- Anthropic
- API
- Authentication
- Automation
- AWS
- AWS Bedrock
- CI/CD
- CloudFront
- CloudWatch
- Data Modeling
- DevOps
- Docker
- EC2
- ECS
- GitHub
- GitHub Actions
- Github Copilot
- GitLab
- IAM
- Infrastructure as Code
- JavaScript
- Jenkins
- Lambda
- LangChain
- LLM
- n8n
- Next.js
- Node.js
- NoSQL
- OpenAI
- RAG
- RDS
- React
- REST
- S3
- Secrets Management
- Test Automation
- TypeScript