Role Overview
We are looking for a Fullstack Developer to design, develop, and maintain scalable web applications across frontend and backend technologies. The role involves collaborating with cross-functional teams across regions to build cloud-native solutions using AWS, develop modern APIs, optimize application performance, and deliver seamless user experiences. The ideal candidate has strong expertise in React, TypeScript, Python, GraphQL/REST APIs, PostgreSQL, and serverless architectures, with a focus on building reliable, high-quality software.
ShyftLabs is a rapidly growing data product company specializing in creating digital solutions for Fortune 500 companies across various industries.
Key Responsibilities
- Collaborate with cross-functional teams in different regions to design and implement backend and frontend solutions that meet business requirements and performance objectives.
- Develop reliable and efficient backend components using AWS cloud services, including Lambda functions, S3, API Gateway, and message queuing systems.
- Integrate real-time data streams into applications by leveraging expertise in streaming technologies such as Kafka.
- Design, develop, and maintain GraphQL and REST APIs that are scalable, performant, and well-documented.
- Create and optimize data models and implement robust data storage solutions aligned with application needs.
- Conduct code reviews, debug, troubleshoot, and optimize performance to ensure high-quality software delivery.
- Monitor system performance and implement optimization strategies.
- Stay up to date with industry trends, emerging technologies, and best practices to drive continuous improvement in backend development.
- Ensure accessibility compliance, including proper use of ARIA attributes.
- Design, maintain, and implement new workflows across both frontend and backend layers to ensure seamless user experiences and robust system functionality.
Requirements
- TypeScript
- React
- Redux
- Redux Thunk
- Context API
- Next.js
- Python
- FastAPI
- Django
- GraphQL
- Apollo Client
- REST API
- PostgreSQL
- AWS Lambda
- AWS S3
- AWS API Gateway
- Serverless Architecture
- Material-UI
- SCSS/SASS
- BEM methodology
- CI/CD
- JWT
- SSO
- React Testing Library
- Git
- Agile methodologies
- ARIA attributes
Preferred Skills
- Kafka
- Message Queuing Systems
Qualifications
- Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent professional experience)
- Strong proficiency in TypeScript, including understanding of type definitions and generics
- Experience with UI libraries and styling frameworks (Material-UI, SCSS/SASS using BEM methodology)
- Proficiency in React, Redux, Redux Thunk, and Context API
- Experience with Next.js, including SSR, SSG, routing, and middleware
- Solid understanding of CI/CD pipelines and deployment best practices
- Hands-on experience with AWS cloud services and serverless architectures (Lambda, S3, Queues, etc.)
- Expertise in developing GraphQL (Apollo Client, queries, mutations, subscriptions) and REST APIs, with deep knowledge of API design principles
- Skilled in API integration, including GraphQL and REST patterns, and authentication mechanisms (JWT, SSO)
- Ability to write unit tests using tools such as Python testing frameworks and React Testing Library
- Advanced knowledge of PostgreSQL, including data modeling, performance optimization, and use of functions, views, materialized views, and stored procedures
- Strong programming skills in Python, with experience in frameworks like FastAPI or Django
- Familiarity with version control systems (e.g., Git) and Agile methodologies
- Excellent problem-solving skills, software patterns knowledge and ability to troubleshoot complex issues
- Strong communication and collaboration skills for working in fast-paced, team-oriented settings
- Continuous learning mindset and enthusiasm for staying current with cloud computing and backend technologies
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
