Sr Application Developer, Integrations
Genesys
- Location
- Mexico City (Flexible)
- Work model
- On-Site
- Level
- Senior
- Posted
- Sep 2, 2026
Skills
About this role
Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. Sr Application Developer, Integrations Mexico (Virtual Office) Role Overview: Build the integration foundation that keeps Genesys critical business processes connected, reliable, and ready for AI-enabled automation. As a Sr Application Developer, Integrations, you will own cloud-native solutions that move data and actions securely across Salesforce, Zuora Billing, Workday, and the AWS services supporting the Order-to-Cash lifecycle. You will shape integrations end to end, from architecture and API or event design through deployment, observability, and production support. Using AWS serverless technologies, API-led patterns, and event-driven architectures, you will improve the accuracy, scalability, and resilience of business-critical data flows while helping teams deliver change with confidence. You will also extend AI capabilities into enterprise workflows using Amazon Bedrock, AWS AI services, SageMaker-hosted models, retrieval-augmented generation (RAG), and Model Context Protocol (MCP). Your work will give AI systems governed access to enterprise data and actions while applying the guardrails, evaluation, PII protections, observability, and cost controls required for responsible production use. This role offers direct exposure to enterprise-wide initiatives spanning finance, sales, billing, platform engineering, and AI. You will influence integration standards, partner across technical and business teams, and expand your expertise in serverless architecture and enterprise AI while helping Genesys create more connected, dependable experiences for the teams and customers who rely on these systems.
Key Responsibilities
Design scalable, cloud-native integrations across Salesforce, Zuora Billing, Workday, and other enterprise platforms using AWS API Gateway, Lambda, EventBridge, SQS, and SNS to improve reliability and support business growth Own integration solutions end to end, translating business and technical requirements into maintainable architectures with clear data mappings, schemas, error handling, retry strategies, idempotency, and reconciliation controls Strengthen Order-to-Cash data integrity by connecting opportunity, quote, order, subscription, invoicing, payment, finance, and worker data across enterprise systems Drive reliable platform interoperability by applying Salesforce REST, Bulk, Composite APIs and Platform Events; Zuora REST and Object or Query APIs; and Workday REST, SOAP, and RaaS patterns with appropriate authentication, rate limits, and governor controls Diagnose complex transaction and data failures across system boundaries, tracing issues end to end to reduce recurrence and protect the accuracy of business-critical processes Develop reproducible, change-controlled AWS serverless environments using infrastructure-as-code practices such as CloudFormation or Terraform, supported by automated testing and CI/CD pipelines Improve platform resilience through proactive logging, monitoring, alerting, distributed tracing, root-cause analysis, and targeted improvements to integration performance and maintainability Build governed AI-enabled integrations using Amazon Bedrock, AWS AI services, purpose-built AI APIs, and SageMaker-hosted models to bring generative AI, reasoning, summarization, and automation into enterprise workflows Design agentic, tool-using workflows with MCP servers and clients or Bedrock Agents, enabling AI systems to query and act on