1 day ago
Responsibilities
- Design scalable cloud-native integrations across Salesforce, Zuora Billing, Workday, and AWS services including API Gateway, Lambda, EventBridge, SQS, and SNS.
- Own integration architectures, API and event designs, data mappings, schemas, error handling, retries, idempotency, reconciliation, authentication, rate limits, and governance controls.
- Connect opportunity, quote, order, subscription, invoicing, payment, finance, and worker data across enterprise systems to strengthen Order-to-Cash integrity.
- Diagnose distributed transaction and data failures across systems and provide Tier 2 and Tier 3 production support.
- Develop reproducible AWS serverless environments with infrastructure as code, automated testing, and deployment pipelines.
- Improve reliability through logging, monitoring, alerting, distributed tracing, root-cause analysis, and performance improvements.
- Build governed AI-enabled and agentic workflows using Amazon Bedrock, AWS AI services, SageMaker-hosted models, MCP, Bedrock Agents, RAG, Bedrock Knowledge Bases, and vector search.
- Apply AI safeguards including validation, PII detection and redaction, guardrails, evaluation, observability, latency management, and token and cost monitoring.
- Influence integration standards through design reviews and collaboration with platform, data, finance, and application teams.
- Use AI-assisted development tools such as Cursor to accelerate coding, refactoring, testing, and troubleshooting.
Requirements
- At least 5 years of experience building and supporting cloud-based integration solutions, including substantial hands-on AWS experience.
- Hands-on proficiency with at least two AWS serverless or messaging services, including API Gateway, Lambda, EventBridge, SQS, or SNS.
- Experience designing REST APIs, API-led integrations, or event-driven messaging architectures.
- Hands-on integration experience with Salesforce, Zuora Billing, Workday, or another enterprise platform, including APIs, authentication, and rate or governor limits.
- Strong knowledge of Order-to-Cash processes including quote-to-order, billing, invoicing, payments, revenue, and related data relationships.
- Experience integrating Amazon Bedrock, AWS AI services, or equivalent AI capabilities into production workflows.
- Understanding of production controls for AI-backed integrations, including validation, PII handling, guardrails, evaluation, latency, and token and cost management.
- Familiarity with CloudFormation, Terraform, or equivalent infrastructure-as-code tooling.
- Ability to troubleshoot distributed systems across multiple services, APIs, applications, and data sources.
- Strong cross-functional communication and technical decision-making skills.
- Preferred experience with MCP servers and clients, Bedrock Agents, RAG, embeddings, vector stores, SageMaker, subscription billing, Zuora Billing, MuleSoft, Boomi, AWS AppFlow, OpenAPI, or Swagger.
- AWS Developer Associate certification or higher is preferred; AWS Certified AI Practitioner and Machine Learning Engineer Associate credentials are advantageous.
Benefits
- Mexico virtual-office position with a flexible-first working culture.
- Mentorship, learning programs, leadership development, and education support.
- Paid volunteer time, August Free Fridays, well-being resources, and regionally tailored programs for employees and families.
- Opportunity to work on AI-powered technology used by more than 8,000 organizations worldwide.
- Global collaboration across finance, sales, billing, platform engineering, data, and AI teams.
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About Genesys
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems and data across the enterprise to driver customer loyalty, business growth and operational efficiency. We’re building AI where it matters, empowering employees to shape the future of customer experience through meaningful, real-world innovation. To learn more, visit www.genesys.com.