AWS Developer

Helishores Inc

Ocean County, NJ, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Job source

dice.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Business Logic User Authentication Unit Testing Cloud Computing Security Software Documentation

+37 more

Code Generation Computer Programming Databases Continuous Integration Control Panels Cursor (Graphical User Interface Elements) Software Debugging Programming Tools Amazon DynamoDB Identity and Access Management JSON PostgreSQL Microsoft SQL Server MySQL Routing OpenShift Oracle (Applications) Scrum Methodology Application Data Amazon Simple Notification Service (SNS) Data Streaming Amazon Connect Dynamic Routing ReactJS Spring-boot AWS Lambda Backend Git Build Management Material UI Data Analytics Functional Programming Cloudwatch Api Gateway Restful APIs Amazon Simple Queue Service (SQS) Code Restructuring

Job description

Gather, analyze, and document business requirements for Outbound and Inbound Calls.

Design, configure, develop, and maintain Amazon Connect contact center solutions.

Configure, customize, and support Amazon Connect contact flows, including inbound flows, outbound flows, customer queue flows, transfer flows, callback flows, and whisper flows.

Configure and support Amazon Connect Agent Workspace and Contact Control Panel capabilities.

Develop AWS Lambda functions for Amazon Connect integrations, dynamic routing, customer lookup, backend service calls, and custom business logic.

Build and expose REST APIs using Amazon API Gateway for integrations between Amazon Connect and backend systems.

Use Amazon DynamoDB for customer lookup, session data, contact metadata, routing configuration, and application data storage.

Use Amazon S3 for storing call recordings, reports, prompts, exported data, files, and integration artifacts.

Configure Amazon CloudWatch logs, metrics, alarms, and dashboards for monitoring and troubleshooting Amazon Connect and AWS integrations.

Use Amazon Kinesis for real-time streaming of contact events, contact trace records, analytics data, and downstream reporting integrations.

Build and Deploy Java REST services using Springboot

Deploy Java backend services and React UI applications to OpenShift using orchestrator-based deployment processes.

Use AI code assistants such as Cursor or similar tools to support development, code generation, refactoring, debugging, unit test creation, and code documentation.

Voice and Text call testing using tools like Cyara

Requirements

Skilled at Problem solving and Critical thinking.

Strong hands-on experience with Amazon Connect implementation, configuration, customization, and production support.

Practical experience with Amazon Connect contact flows, including inbound flows, outbound flows, customer queue flows, transfer flows, callback flows, whisper flows, and IVR workflows.

Strong understanding of Amazon Connect routing concepts, including queue-based routing, skills-based routing, routing profiles, queue priority, channel concurrency, transfer to queue, and transfer to agent.

Hands-on experience developing AWS Lambda functions for Amazon Connect integrations, dynamic routing, customer lookup, backend service calls, and custom business logic.

Strong programming experience in Java and Python.

Hands-on experience with databases such as PostgreSQL, MySQL, Oracle, SQL Server, DynamoDB, or similar.

Experience with AWS services such as Lambda, API Gateway, S3, CloudWatch, IAM, SNS/SQS, DynamoDB, and EC2..

Experience with Amazon CloudWatch for logs, metrics, alarms, dashboards, monitoring, troubleshooting, and production support.

Good understanding of REST APIs, JSON, authentication, and cloud security.

Experience writing unit tests for Java backend services, React UI components, AWS Lambda functions, and REST API integrations.

Strong debugging skills to analyze and resolve defects across Amazon Connect, Java backend services, React UI applications, APIs, AWS services, and OpenShift deployments.

Hands-on experience or strong willingness to use AI code assistants such as Cursor or similar AI-powered development tools.

Experience with CI/CD tools, Git, and Agile delivery practices.

Experience working in Agile methodologies and Scrum teams.