Key skills
AWSCloudDockerEC2GraphQLKubernetesPythonReactReact NativeTerraformTypeScriptAILarge Language ModelsServerlessECSLambdaS3RDSCI/CDCollaboration
About this role
Role Overview
- Build and maintain scalable systems using AWS (EC2, S3, RDS, Lambda, ECS, etc.)
- Contribute to system design and collaborate on technical decisions with senior engineers
- Participate in project planning, providing input on timelines and trade-offs
- Troubleshoot and resolve application and infrastructure issues
- Help design and implement AI-powered features and agents using large language models (LLMs)
- Work closely with product and customer teams to deliver AI-driven solutions that improve the customer experience
- Apply prompt engineering and experiment with emerging tools to speed up development and unlock new capabilities
Requirements
- Bachelor’s or Master’s degree in Computer Science, IT, or equivalent practical experience
- 4-5 years in software engineering (web and/or mobile focus)
- Solid understanding of AWS services (compute, storage, networking, databases, security)
- Familiarity with cloud architecture concepts, serverless, and containers
- Experience with CI/CD pipelines, Docker, and ideally Kubernetes or Terraform
- Strong knowledge of databases and data modeling
- Experience building APIs (GraphQL or REST)
- Proficient in Python, TypeScript, React, and React Native
- Strong communicator who enjoys working cross-functionally
- Customer-focused and eager to build products that raise the bar on user experience
Tech Stack
- AWS
- Cloud
- Docker
- EC2
- GraphQL
- Kubernetes
- Python
- React
- React Native
- Terraform
- TypeScript
Benefits
- Company mission to create economic empowerment for the service industry
- Collaboration with senior engineers
- Support for professional development