5 days ago
Mexico City, MexicoSenior
Responsibilities
- Build AI-native self-service experiences with Amazon Connect AI agents, Amazon Q in Connect, Amazon Bedrock, Claude, prompts, tool calling, guardrails, and multi-agent orchestration.
- Engineer and operate Amazon Connect contact flows, routing, Cases, Tasks, Contact Lens, Customer Profiles, workforce management integrations, outbound campaigns, and analytics data lakes.
- Build React-based Agent Workspace and admin tooling with the Amazon Connect Streams API and CRM integrations.
- Develop serverless, event-driven systems using Lambda, EventBridge, Step Functions, SQS/SNS, DynamoDB, Kinesis, and related AWS services.
- Author infrastructure as code with AWS CDK, CloudFormation, or Terraform and maintain GitHub Actions CI/CD pipelines and automated test suites.
- Instrument monitoring and alerting, debug production issues, participate in incident triage, and support phased production rollouts and contact center migrations.
- Work directly with customer engineering teams through integrations, technical working sessions, demos, knowledge transfer, and implementation-focused pre-sales support.
- Review code, mentor junior and mid-level engineers, contribute to architecture decisions, and create reusable internal engineering assets.
Requirements
- 7+ years of hands-on software engineering experience, including 2+ years building on Amazon Connect or comparable enterprise CCaaS platforms.
- Strong current experience with Amazon Connect contact flows, routing, Cases and Tasks, Contact Lens, Customer Profiles, Streams API, and Connect analytics.
- Hands-on conversational and generative AI experience with Amazon Lex, Amazon Bedrock, Amazon Q in Connect, or equivalent, including prompt engineering and tool calling.
- Strong TypeScript/Node.js and Python skills, production React experience, and AWS serverless engineering experience with Lambda, EventBridge, API Gateway, DynamoDB, Step Functions, and Kinesis.
- Infrastructure-as-code proficiency with AWS CDK or Terraform, including multi-account deployment patterns.
- Experience shipping and supporting production systems, automated testing, observability instrumentation, and full-stack incident debugging.
- Strong communication and customer-facing composure, including the ability to demo work, explain trade-offs, and run working sessions with client engineers.
- Preferred qualifications include AWS certifications, contact center migration experience, regulated-industry experience, contact center operations knowledge, AI observability or accessibility engineering experience, and consulting or client-delivery experience.
Benefits
- 100% remote work.
- Medical insurance for the employee and eligible dependents.
- Generous holidays and flexible PTO.
- Competitive phantom equity.
- Payment for exams and certifications.
- Peer bonus awards.
- State-of-the-art laptop and tools.
- Equipment and office stipend.
- Individual professional development plan and annual learning and development stipend.
- Work with a worldwide team and inclusive corporate culture.
Tech Stack
Categories
Solutions Engineering
About Caylent
Caylent provides cloud and AI consulting and managed services for organizations building on AWS, including migration, cloud-native application development, data and analytics, DevOps, and security. It operates as a professional services and managed services provider, with specialized work in generative and agentic AI and the Anthropic Claude ecosystem. Founded in 2015 and headquartered in Irvine, California, Caylent is privately held and backed by Gryphon Investors.