Senior Full Stack Engineer

Title: Senior Full Stack Engineer

Location: Remote

Pay range: $75/hr. - $80/hr. on w2

About the opportunity:

Must Have

• AWS Dynamo
• AWS Lambda
• AWS S3
• AWS - SNS/SQS
• JavaScript (ES6)
• Node.js
• React js

As aSenior Full Stack Engineer, the candidate will be responsible for complex software development including coding, managing small sections of ongoing projects, collaborating with others, closely adhering to deadlines while advancing team s best practices. Candidate will also take responsibility for creating design specifications, unit testing, and preparing technical documentation. Candidate will ensure relationships with customers and cross-team members and are professional and meet expectations.

Required Skills:

• Minimum 7 years demonstrated experience with software development.

• Strong and evolving competence in several programming languages and technologies, working knowledge of multiple tool sets, technologies and implementation environments

• Strong practical experience inJavascript/Typescript, React, NodeJS, next.js, APIsand scripting experience in a Cloud based environment

• Possess technical skills and experience in the virtual infrastructure domain, specifically Amazon Web Services and AWS serverless technologies (Lambdas, DynamoDB, S3, CloudWatch, etc.)

• Design and development experience in building and monitoring microservices

• Working experience and discipline in Agile, CI/CD, DevOps best practices

• Demonstrated experience in developing full stack solutions using NodeJS

• Fundamentals in OO and computer science foundation principles.

• Knowledge of software development lifecycle and modern software engineering principles and practices

• Strong problem-solving skills and ability to work collaboratively with team members

Preferred Skills:

• Experience working on Agile teams with the scrum team member attitude willingness to support the Team to be successful in any area necessary

• High analytical skills and knack to design, develop, build, refactor scalable, reuseable applications andmonitor high frequency data services.

• Ability to use: KMS, SQS SNS, OpenSearch, Route 53, VPC

• Fluency with CI/CD toolsets such as: CloudFormation, gitHub, Ansible

• Experience with relational databases and NoSQL databases

• Experience building infrastructure as code using AWS CloudFormation or similar scripting techniques

• Appetite to learn new things, both business process and technology

• Some knowledge in data science, GenAI, and/or machine learning

Education/Certifications:

• Bachelor s degree and/or other advanced degree(s)

• Relevant AWS or other professional certifications