About AllVoices

AllVoices is an Employee Relations Platform that makes it easy to manage employee relations issues. With standardized workflows, HRIS integrations, and automated insights, AllVoices helps HR teams do more with less.

AllVoices is trusted by leading companies, including Zillow, Sweetgreen, and Patagonia, to make it easy to manage employee relations issues all in one place - that’s why AllVoices was named a leader in the Employee Engagement, HR Case Management, and Whistleblowing categories by G2.

Our team: We’re a female-founded, fast-growing, culture-focused, venture-backed startup dedicated to building products that shape the future of work. As a team, we practice what we preach: we work to cultivate an environment in which people feel comfortable bringing their full selves to work every day.

AWS Connect & Lex Engineer (Contract)

Contract Duration: 8–12 weeks (with possible extension)
Commitment: Full-time
Location: Remote, Global

About the Role

We are seeking an experienced AWS Connect & Amazon Lex Engineer to help us design and implement a voice hotline solution for reporting company complaints. Each company we serve has its own structured complaint form, which may include conditional/branching logic. You will work alongside our internal engineering team (who will handle API integrations) and guide us on best practices for architecture, implementation, and compliance.

This is a hands-on contract role where you will own the Amazon Connect + Lex setup, implement the Lambda/infra logic for dynamic forms, and ensure the system is production-ready, scalable, and secure.

Responsibilities

• Design & Implementation
  
  
  
• • Architect, configure, and deploy Amazon Connect contact flows and telephony setup.
    
    
    
  • Build and integrate Amazon Lex (V2) bots to support dynamic, branching complaint forms.
    
    
    
  • Implement AWS Lambda code hooks for handling conditional question flows and data persistence.
    
    
    
  • Set up DynamoDB/S3 or other AWS services to store form schemas, session data, and final submissions.
    
    
    
  • Enable Contact Lens (or other analytics tools) for redaction and compliance.
    
    
    
• Integration & APIs
  
  
  
• • Work with our internal engineer(s) to integrate Connect/Lex outputs with our application APIs.
    
    
    
  • Advise on best practices for data handoff, webhook/event handling, and notifications.
    
    
    
• Security & Compliance
  
  
  
• • Configure encryption, IAM roles, and data retention policies for sensitive complaint data.
    
    
    
  • Enable PII redaction and apply best practices for complaint data handling.
    
    
    
• Advisory & Best Practices
  
  
  
• • Guide the team on architecture, scaling, and cost optimization for AWS Connect/Lex deployments.
    
    
    
  • Document workflows, provide knowledge transfer to our team, and support during pilot launch.
    
    
    

Requirements

• Proven hands-on experience with Amazon Connect (contact flows, telephony, analytics) and Amazon Lex (V2).
  
  
  
• Strong knowledge of AWS Lambda (Python/Node.js) for Lex dialog code hooks.
  
  
  
• Familiarity with Contact Lens for PII redaction, call recording, and transcription.
  
  
  
• Prior experience deploying production-ready voice/chatbots with AWS.
  
  
  
• Strong understanding of security, compliance, and cost optimization in AWS.
  
  
  
• Excellent communication skills; ability to advise and educate less experienced engineers.
  
  
  

Nice to Have

• Experience with inbound/outbound telephony setups and call routing in Connect.
  
  
  
• Knowledge of CI/CD pipelines for AWS infrastructure (e.g., CDK, Terraform, or CloudFormation).
  
  
  
• Familiarity with customer service / complaint intake workflows.
  
  
  
• Experience with HIPAA, SOC2, or GDPR compliance in AWS environments.
  
  
  

Deliverables

By the end of the engagement, we expect:

• A fully functional complaint hotline using AWS Connect + Lex that supports multiple company-specific, conditional forms.
  
  
  
• Secure and scalable backend (DynamoDB/S3/Lambda) for managing schemas and submissions.
  
  
  
• Documentation and knowledge transfer to our internal engineering team.
  
  
  
• Recommendations for ongoing monitoring, scaling, and cost management.
  
  
  

Contract Details

• Duration: 8–12 weeks (with potential extension)
  
  
  
• Hours: Flexible; ideally 20–40 hours per week
  
  
  
• Location: Remote
  
  
  
• Compensation: Competitive, based on experience