Full Stack Development
CYNET SYSTEMS INC.
Plano, TX, United States
2 months 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
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.
Apply for this position
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Prepare application
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