Full Stack Development

CYNET SYSTEMS INC.

Plano, TX, United States

17 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Compensation

$114,400.0 - $124,800.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon Cloudfront Amazon Elastic Compute Cloud Amazon S3 Audit Trail Automation of Tests Amazon DynamoDB Identity and Access Management Node.Js

+24 more

Role-Based Access Control E2e Testing Software Deployment Unstructured Data Enterprise Software Applications ReactJS Delivery Pipeline Spring-boot AWS Lambda Apigee Amazon Virtual Private Cloud (VPC) Cloudformation Amazon Relational Database Service AngularJS Deployment Automation Front End Software Development Functional Programming Api Gateway Elastic Beanstalk Amazon Simple Queue Service (SQS) Terraform Dynatrace Docker Mulesoft

Job description

Build, maintain, and execute automated UI and API test frameworks using Java-centric tools.
Perform integration, regression, and end-to-end testing, identifying defects and tracing root causes across the full application stack.

Skills:

Java.
React.
Angular.
Node.js.
Springboot.
AWS.
EC2.
Lambda.
S3.
API Gateway.
Mulesoft.
ApiGEE.
Dynatrace.
ECS.
EKS.
CloudFront.
Elastic Beanstalk.
Test Automation.
Amazon RDS.
DynamoDB.
Aurora.
OpenSearch.
Redshift.
Step Functions.
EventBridge.
SQS.
SNS.
IAM.
Cognito.
KMS.
Secrets Manager.
VPC.
CodePipeline.
CodeBuild.
CodeDeploy.
CloudFormation.
CDK.
Terraform.
Docker.

Requirements

Strong experience building enterprise applications using modern front-end and back-end technologies such as React, Angular, Node.js, Springboot/Java.
Hands-on experience designing, building, and deploying applications on AWS using services like EC2, Lambda, S3, API Gateway/Mulesoft/ApiGEE, Dynatrace, ECS/EKS, CloudFront, and Elastic Beanstalk.
Strong understanding of structured and unstructured data management using Amazon RDS, DynamoDB, Aurora, S3, OpenSearch, and Redshift.
Ability to design and integrate secure APIs with internal systems, dealer platforms, CRM tools, workflow systems, document repositories, and third-party services.
Experience automating manual business processes using AWS Lambda, Step Functions, EventBridge, SQS, SNS, and scheduled/event-driven workflows.
Strong knowledge of IAM, Cognito, KMS, Secrets Manager, VPC, security groups, role-based access control, audit logging, and data privacy practices.
Experience with CodePipeline, CodeBuild, CodeDeploy, CloudFormation, CDK, Terraform, Docker, and automated deployment practices.
Ability to translate business pain points into scalable digital and AI solutions that improve experience, reduce manual intervention, and deliver measurable outcomes.