Workday Extend Developer

Okta is seeking a Workday Extend Developer to join their Business Solutions Team. In this critical role, you will partner closely with the People Technology leadership and play a key role in Okta's Workday transformation efforts.

Key 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 architecture, integration architecture, data flows, API strategies, and technical standards.
• Architect and lead the 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 business requirements and determine the appropriate solution across Workday configuration, Extend, integrations, APIs, AI, cloud services, and third-party platforms.
• Establish architectural patterns and reusable frameworks for Workday Extend applications and integrations to support scalability, extensibility, security, and long-term maintainability.
• Provide technical leadership for the complete application lifecycle, including architecture, design, development, testing, deployment, release management, and production support.
• Develop solutions that leverage AI and Generative AI to enable intelligent automation, enhanced user experiences, decision support, and innovative business capabilities within the Workday ecosystem.
• Assess and utilise AWS cloud services where required to support application components, APIs, integrations, data processing, AI capabilities, and enterprise workloads.
• Define and govern API, integration, security, authentication, authorisation, error-handling, monitoring, logging, and performance strategies.
• Partner with enterprise architects, business stakeholders, functional leads, security teams, cloud teams, and engineering teams to ensure solutions align with enterprise technology standards and business objectives.
• Lead technical discovery, architecture workshops, proof-of-concepts, technology evaluations, and solution estimations for complex business initiatives.
• Review and approve technical designs, application architecture, integration patterns, and development approaches to ensure adherence to architectural standards.
• Identify technical risks, dependencies, scalability concerns, and opportunities for modernisation, and define appropriate mitigation strategies.
• Provide hands-on technical guidance when required while leading and mentoring senior developers and engineering teams.
• Establish development and engineering best practices, including code quality, version control, CI/CD, testing, observability, documentation, and deployment standards.
• Drive continuous improvement of the Workday technical landscape by evaluating new capabilities across Workday Extend, Workday Integration, Orchestrate, AI/GenAI, AWS, APIs, and emerging technologies.

Required Skills and Qualifications

• 8 to 10 years of overall IT/software development experience.
• 4+ years of hands-on Workday Extend experience.
• Workday certification in Extend
• Strong hands-on experience with Workday Integration Frameworks.
• Strong experience with Workday Studio.
• Experience with EIB, Core Connectors, Cloud Connect, and Workday Web Services.
• Strong knowledge of Workday REST/SOAP APIs.
• Experience with RaaS, Workday Reports, Calculated Fields, and Business Processes.
• Strong understanding of Workday HCM architecture and 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 Skills

• Experience integrating LLM/GenAI APIs into enterprise applications.
• Knowledge of AWS Bedrock or equivalent enterprise AI services.
• Experience with AWS Lambda, API Gateway, S3, IAM, CloudWatch, EventBridge, or similar AWS services.
• 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.