Cloud Engineer – AWS Lex

About The Job

CloudHesive, a premier Amazon Web Service Managed Services Partner, specializes in transitioning customers from traditional data centers to robust cloud-based solutions. With deep expertise in cloud services, we provide invaluable support across public and private sectors, driving value and innovation. Headquartered in Fort Lauderdale, Florida, and with offices in Buenos Aires, Argentina; Santiago, Chile; and Denver, Colorado, CloudHesive is committed to fostering a diverse and inclusive workplace.

The Opportunity

We are seeking a Cloud Engineer with expertise in Amazon Lex to join our dynamic team. The ideal candidate will possess in-depth knowledge and hands-on experience in building highly scalable and efficient voice and text-based chatbots using Amazon Lex, along with a strong understanding of natural language processing (NLP) and machine learning principles. Our organization is a leader in harnessing the capabilities of the public cloud ecosystem through comprehensive consulting and cutting-edge managed services. As a member of our rapidly growing team, you will collaborate with industry experts and play a crucial role in transforming our clients' businesses.

What You’ll Be Doing

• Lead the architecture and design of conversational AI solutions using Amazon Lex, ensuring they meet business requirements and performance expectations.
• Develop scalable, high-performing Amazon Lex chatbots and voicebots, leveraging AWS services such as AWS Lambda, Amazon Polly, AWS CloudWatch, and Amazon Connect.
• Design and implement natural language understanding (NLU) models to improve intent recognition, slot management, and dialogue flow within Amazon Lex bots.
• Create custom integrations between Amazon Lex and external systems (CRM, databases, knowledge bases, etc.) using AWS Lambda, API Gateway, and other AWS services.
• Guide the development of advanced features, such as multi-turn dialogues, context management, fallback strategies, and proactive messaging.
• Optimize chatbot performance by analyzing data, user interactions, and logs to refine and enhance the Lex bots' efficiency and accuracy.
• Provide guidance on best practices for chatbot architecture, security, scalability, and integration with various AWS services.
• Work closely with product owners, business stakeholders, and developers to gather requirements and define functional specifications.
• Mentor junior engineers, lead technical reviews, and ensure consistent code quality, performance, and adherence to architectural standards.
• Drive automation and CI/CD practices to streamline the deployment and maintenance of Lex-based solutions.
• Stay updated with new Amazon Lex features, AWS tools, and AI technologies to ensure the team adopts the latest advancements in the field.
• Troubleshoot and resolve complex technical issues related to Lex bots, AWS services, and integrations with external applications.
• Lead architectural discussions, risk management, and the identification of technical debt in solution designs.
  
  

Is this role for you?

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience).
• 5 years of hands-on experience in software development, with at least 3-5 years specializing in Amazon Lex, AWS AI/ML services, or similar conversational AI platforms.
• Expertise in Amazon Lex, including advanced configuration of intents, slots, dialogues, Lambda integrations, and voicebot development.
• Strong knowledge of natural language processing (NLP), machine learning (ML), and conversational AI principles.
• Proficiency in programming languages such as Python, Node.js, or JavaScript, and experience with Lambda functions.
• Deep understanding of AWS services, including Amazon Lex, AWS Lambda, Amazon Polly, Amazon Comprehend, Amazon Transcribe, and Amazon S3.
• Experience with Amazon Connect and integrating it with Amazon Lex to build end-to-end conversational solutions.
• Hands-on experience in designing and deploying scalable, secure, and high-performance conversational systems.
• Familiarity with AWS security best practices, including IAM roles and permissions, encryption, and authentication strategies.
• Experience working with APIs, webhooks, and creating integrations with third-party services.
• Strong understanding of CI/CD pipelines, containerization (Docker), and infrastructure-as-code (CloudFormation, Terraform).
• Excellent problem-solving skills, attention to detail, and the ability to troubleshoot complex technical issues.
• Excellent communication skills, with the ability to articulate technical concepts to both technical and non-technical stakeholders.
  
  

Certifications

• Active AWS Associate certification.
• AWS Professional or Specialty certification, or commitment to obtaining them.
• Commitment to continuous learning through activities like reading technical documentation and participating in webinars.
  
  

Computer Skills

• Proficiency in Microsoft Office, including Visio and Project.
• Strong scripting language proficiency, including Python, PowerShell, JavaScript, PHP, and proficiency in either Windows or a common Linux distribution.
• Proficiency in troubleshooting infrastructure components like Servers, Storage, and Networking.
  
  

Travel Requirements

• May entail up to 25% travel within the United States, including visits to customer sites or our Fort Lauderdale office if working remotely.
• Given the nature of our clients, occasional after core business hours activities may be necessary, such as migration tasks.
  
  

Location:

This is a hybrid role, and candidates should be within a commutable distance to our offices in Fort Lauderdale, FL, or Denver, CO.

In addition to the perks of working with an awesome team, CloudHesive offers competitive compensation, comprehensive benefits, training on cutting edge technology and partners (AWS), a flexible work schedule, responsible time off, a kitchen filled with snacks chosen by our employees and much more! If you think you’d be a great fit, we’d like to learn more about you!