Workday Extend Developer

Okta is seeking a Staff  Analyst – People Technology to join our Business Solutions Team. In this critical role, you will partner closely with the People Technology leadership and play a key role in our Workday transformation efforts. As part of a cross-functional team, you will collaborate with stakeholders across People, Payroll, IT, Finance, and international offices to optimize and scale our HR systems and processes.

This role is ideal for someone who is passionate about solving complex business challenges, driving innovation through automation, and delivering a best-in-class user experience.

Job Duties and Responsibilities

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 utilize 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, authorization, 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 modernization, 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.

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