This is a remote position.
AWS Certified Full-Stack JavaScript Developer- Remote Job, 1+ Year Experience
Annual Income: $60K - $65K
A valid work permit is necessary in the US/Canada
About us: Patterned Learning is a platform that aims to help developers code faster and more efficiently. It offers features such as collaborative coding, real-time multiplayer editing, and the ability to build, test, and deploy directly from the browser. The platform also provides tightly integrated code generation, editing, and output capabilities.
About The Job
InspiringApps is looking for an AWS-certified full-stack JavaScript developer to join our team.
We value:
Integrity Inclusiveness Empathy Respect Commitment to your craft
We offer competitive benefits, including company-paid health, dental, and vision coverage for employees and family members, a 401k with 4% match, profit sharing, respectful PTO policy, and much more. Brad, our founder and president, has over 25 years of software development experience. Management that really understands engineering creates an environment for you to thrive. The position is remote in the USA, but we prefer candidates in Colorado, Florida, Texas, Arizona, Kentucky, Michigan, Minnesota, and Oregon.
Responsibilities
Design and develop full-stack web applications using modern technologies and frameworks. Architect and implement cloud-based solutions on AWS, leveraging services such as Lambda, API Gateway, S3, SNS, SQS, Cognito, DynamoDB, and others. Collaborate with front-end developers to integrate user-facing elements with server-side logic. Develop and maintain RESTful APIs for seamless communication between the front-end and back-end systems. Implement authentication and authorization mechanisms to ensure the security of our applications and data. Optimize application performance and scalability by implementing best practices and utilizing AWS resources effectively. Create front-end solutions with HTML, CSS, and Vue.js. Write clean, well-documented, tested, and maintainable code that adheres to industry standards and best practices. Participate in code reviews, debugging, and troubleshooting to ensure the quality and reliability of our applications. Support health and operation of applications as part of a team. Stay up-to-date with emerging technologies and trends in full-stack development and cloud computing.
Requirements
AWS Certified Developer Associate or Professional, or AWS Certified Solutions Architect Associate or Professional. Bachelor's degree in computer science or engineering, or equivalent experience. Proven experience as a full-stack developer, with expertise in both front-end and back-end technologies. Strong proficiency in JavaScript, HTML, CSS, and front-end frameworks such as React, Angular, or Vue.js. Experience with server-side technologies such as Node.js, Python, or Java. Experience designing and building RESTful APIs and microservices. Solid understanding of relational (SQL) and non-relational (NoSQL) databases, such as MySQL, PostgreSQL, MongoDB, and DynamoDB. Familiarity with cloud-native architectures, microservices, and containerization technologies. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills, with the ability to work effectively in a team environment.
Preferred Qualifications
Experience with serverless computing and AWS Lambda. Knowledge of DevOps principles and experience with CI/CD pipelines. Familiarity with containerization technologies such as Docker and Kubernetes. Understanding of agile software development methodologies. Previous experience working on e-commerce or SaaS platforms.
Additional Compensation Types
Profit sharing
Featured Benefits
Medical insurance Vision insurance Dental insurance 401(k) Paid maternity leave Paid paternity leave
Why Patterned Learning LLC?
Patterned Learning can provide intelligent suggestions, automate repetitive tasks, and assist developers in writing code more effectively. This can help reduce coding errors, improve productivity, and accelerate the development process.
The pattern recognition is particularly relevant in the context of coding. Neural networks, especially deep learning models, are commonly employed for pattern detection and classification tasks. These models simulate human decision-making and can identify patterns in data, making them well-suited for tasks like code analysis and generation.