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)
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.
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 Salesforce, Zuora Billing, Workday, and other enterprise applications through controlled and auditable interfaces
Implement secure retrieval-augmented generation patterns using Bedrock Knowledge Bases, embeddings, and vector search technologies such as OpenSearch Serverless to make enterprise information accessible to AI-driven workflows
Apply responsible AI controls including Bedrock Guardrails, prompt and output validation, PII detection and redaction, model and prompt versioning, evaluation, observability, latency management, and token and cost monitoring
Accelerate engineering delivery with AI-assisted development tools such as Cursor while establishing effective practices for code generation, refactoring, testing, and troubleshooting
Influence integration standards through design reviews and cross-functional collaboration with platform, data, finance, and application teams, helping create reusable patterns that reduce delivery time and integration bottlenecks
Provide Tier 2 and Tier 3 production support, resolving integration failures, documenting root causes, and turning operational insights into measurable improvements in reliability and supportability
Requirements
5+ years of experience building and supporting cloud-based integration solutions, including meaningful hands-on experience with AWS
Hands-on proficiency with at least two AWS serverless or messaging services, including API Gateway, Lambda, EventBridge, SQS, or SNS
Hands-on integration experience with at least one enterprise platform such as Salesforce, Zuora Billing, or Workday, including practical knowledge of APIs, authentication models, and rate or governor limits
Strong working knowledge of Order-to-Cash processes, including quote-to-order, order-to-billing, invoicing, payments, revenue, and the data relationships connecting these processes
Practical experience integrating Amazon Bedrock, AWS AI services, or equivalent AI capabilities into production workflows
Working understanding of production controls for AI-backed integrations, including input and output validation, PII handling, guardrails, latency considerations, evaluation, and token and cost management
Familiarity with infrastructure-as-code practices using CloudFormation, Terraform, or equivalent tooling
Demonstrated ability to troubleshoot distributed systems and diagnose complex issues spanning multiple services, APIs, applications, and data sources
Strong cross-functional communication skills with the ability to collaborate on technical decisions, coordinate platform changes, and communicate impacts clearly
Nice to have
Experience building or consuming Model Context Protocol (MCP) servers and clients, or working with agent frameworks such as Bedrock Agents
Experience implementing retrieval-augmented generation (RAG) using embeddings and vector stores such as OpenSearch Serverless
Exposure to Amazon SageMaker for hosting or invoking custom machine learning models
Familiarity with subscription billing data models, revenue processes, or platforms such as Zuora Billing
Familiarity with integration platform as a service (iPaaS) technologies such as MuleSoft, Boomi, or AWS AppFlow
AWS certification at Developer Associate level or higher, with AWS Certified AI Practitioner or Machine Learning Engineer Associate credentials considered an advantage
Experience applying API documentation and specification standards such as OpenAPI or Swagger
Working at Genesys
AI at enterprise scale – Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year.
A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support.
Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.
Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
What Happens After You Apply
After you apply, here's what you can typically expect:
Our Talent Acquisition team reviews your application with the hiring team.
A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
Next, you'll meet the hiring manager and other members of the interview team.
We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.
After interviews are complete, our team will follow up with the final steps.
Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
Stay Connected
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Be the one building what's next - where AI, experience and impact come together.
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About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. Genesys Cloud™ is the Agentic Orchestration Platform that securely connects people, systems, data and AI across the enterprise with built-in governance and control. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.ai.
Reasonable Accommodations:
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.