# Workday Extend Developer

**Company:** [Okta](https://hotfix.jobs/companies/okta)
**Location:** Bengaluru, India
**Role:** Solutions Architecture
**Experience:** 8+ years
**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
**Posted:** 2026-09-11

> 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.

## Job Description

## 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.

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