About the role

Role OverviewWe 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.

Fullstack Developer

About the role

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