Workday Extend Developer
Leads architecture and development of Workday Extend applications and enterprise integrations, while guiding technical teams and advancing AI-enabled HR technology. Requires 8+ years of software development experience, deep Workday Extend and integration expertise, and working knowledge of AWS and generative AI.
About the job
Responsibilities
- Own the end-to-end architecture and technical design of Workday Extend applications, integrations, and supporting technology solutions.
- Define scalable, secure, resilient, and maintainable application and integration architectures, data flows, API strategies, and technical standards.
- Lead development of complex Workday Extend applications using TypeScript/JavaScript, Workday APIs, and Extend frameworks.
- Architect enterprise Workday integrations using Workday Studio, EIB, Core Connectors, RaaS, REST APIs, SOAP Web Services, and Workday Web Services.
- Evaluate requirements and determine solutions across Workday configuration, Extend, integrations, APIs, AI, cloud services, and third-party platforms.
- Establish reusable frameworks and architectural patterns for scalability, security, extensibility, and maintainability.
- Lead application lifecycle activities including architecture, design, development, testing, deployment, release management, and production support.
- Develop AI and generative AI solutions for intelligent automation, user experiences, decision support, and Workday capabilities.
- Assess and use AWS services for application components, APIs, integrations, data processing, AI, and enterprise workloads.
- Define API, integration, security, authentication, authorization, error-handling, monitoring, logging, and performance strategies.
- Partner with architects, business stakeholders, functional leads, security, cloud, and engineering teams.
- Lead technical discovery, architecture workshops, proofs of concept, technology evaluations, and solution estimations.
- Review and approve technical designs, architecture, integration patterns, and development approaches.
- Identify and mitigate technical risks, dependencies, scalability concerns, and modernization opportunities.
- Provide hands-on technical guidance and mentor senior developers and engineering teams.
- Establish engineering practices for code quality, version control, CI/CD, testing, observability, documentation, and deployment.
- Drive continuous improvement across Workday Extend, Workday Integration, Orchestrate, AI/GenAI, AWS, APIs, and emerging technologies.
Requirements
- 8–10 years of overall IT or software development experience.
- 4+ years of hands-on Workday Extend experience.
- Workday Extend certification.
- Strong experience with Workday integration frameworks and Workday Studio.
- Experience with EIB, Core Connectors, Cloud Connect, Workday Web Services, RaaS, Workday Reports, Calculated Fields, and Business Processes.
- Strong knowledge of Workday REST and SOAP APIs, HCM architecture, and the Workday data model.
- Experience designing and developing enterprise-grade integrations.
- Working knowledge of AWS cloud services.
- Exposure to AI/ML and generative AI technologies.
- Strong understanding of API-based and event-driven integration architectures.
- Strong troubleshooting, analytical, and problem-solving skills.
Preferred Qualifications
- Experience integrating LLM or generative AI APIs into enterprise applications.
- Knowledge of AWS Bedrock or equivalent enterprise AI services.
- Experience with AWS Lambda, API Gateway, S3, IAM, CloudWatch, and EventBridge.
- Understanding of RAG, embeddings, vector databases, prompt engineering, and AI agents.
- Experience building AI-powered automation or employee-facing applications.
- Exposure to CI/CD, DevOps, Git, automated testing, and cloud deployment practices.
Skills
Workday Extend, TypeScript, JavaScript, Workday Apis, Workday Studio, Eib, Core Connectors, REST APIs, Soap Web Services, AWS, Generative AI, AWS Lambda, Api Gateway, CI/CD
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