– Lead Workato Developer (LMS Integration & Automation)

Experience: 6–8 Years

Role: Technical Lead – Integration & Automation

Platform: Workato

Role Overview

We are looking for a Lead Workato Developer with 6–8 years of hands-on experience in Workato and enterprise integration development to lead the design, development, deployment, and maintenance of integration workflows for Harbinger's Learning Management System (LMS) platform.

The role requires strong expertise in the Workato platform, including recipe development, API integrations, workflow orchestration, data transformation, error handling, and automation governance. The ideal candidate should combine deep technical expertise with the ability to lead integration initiatives, guide developers, and ensure the reliability, scalability, security, and maintainability of enterprise automation solutions.

The candidate will work closely with architects, business analysts, project managers, backend developers, and other technical stakeholders to translate business and integration requirements into robust automation solutions. They should also be forward-thinking in their approach to AI-assisted development, intelligent automation, and AI orchestration, identifying opportunities to improve delivery efficiency and evolve integration capabilities.

Key Responsibilities

- Lead the design, development, testing, deployment, and maintenance of Workato-based integrations and automation workflows for LMS platforms.
- Design, develop, and optimize complex Workato recipes using triggers, actions, conditional logic, data transformation, and reusable components.
- Build and manage integrations between LMS platforms and enterprise applications, databases, third-party systems, and custom APIs.
- Develop and maintain REST API integrations, webhooks, and event-driven workflows.
- Translate business requirements and technical specifications into scalable, secure, and maintainable integration solutions.
- Lead technical discussions, review solution designs, and establish best practices for Workato development.
- Implement robust error handling, retry mechanisms, logging, monitoring, and exception management to ensure reliable workflow execution.
- Troubleshoot integration failures, perform root cause analysis, and implement permanent corrective actions.
- Ensure data accuracy, consistency, and integrity across interconnected systems.
- Guide developers in writing efficient recipes and following coding, documentation, and integration standards.
- Collaborate with backend engineers, architects, DevOps engineers, and QA teams to ensure seamless integration across the platform.
- Manage integration releases, workplace configurations, testing, and deployment activities.
- Identify opportunities to simplify workflows, eliminate manual interventions, and improve automation performance.
- Evaluate and adopt AI-assisted development tools and Workato AI capabilities where appropriate to improve productivity and automation outcomes.
- Take ownership of integration architecture, technical quality, and long-term maintainability.

Core Technical Skills

- Workato Platform Expertise
- 6–8 years of relevant experience, including at least 6 years of hands-on Workato development experience.
- Strong expertise in designing, developing, testing, and maintaining complex Workato recipes.

- Experience with




- Recipe development, triggers, actions, and conditional logic.
- Recipe functions, callable recipes, and reusable automation components.
- Data mapping, transformation, filtering, and orchestration.
- Error handling, retries, exception management, and operational monitoring.
- Workato connectors, including standard and custom connectors.
- API platforms, webhooks, and event-based integrations.
- Understanding of Workato environments, connection management, deployment practices, and access controls.
- Ability to troubleshoot complex integration issues and optimize recipe performance.
- API & Enterprise Integration
- Strong understanding of REST APIs, HTTP methods, JSON, and XML.
- Hands-on experience integrating SaaS platforms, enterprise applications, databases, and custom-built systems.
- Knowledge of authentication and authorization mechanisms, including OAuth 2.0, API keys, and token-based authentication.
- Experience with pagination, rate limits, asynchronous processing, retries, and API error handling.
- Understanding of enterprise integration patterns, system interoperability, and data synchronization.
- Exposure to microservices and event-driven architecture is preferred.

- LMS Integration Expertise
- Experience integrating Learning Management Systems (LMS) with enterprise applications and third-party platforms.
- Understanding of LMS workflows such as:
- User provisioning and learner account synchronization.
- Course and learning content synchronization.
- Enrollment, completion, and progress tracking.
- Learning records and reporting data exchange.
- Integration with HRMS, CRM, identity management, and other enterprise systems.
- Ability to understand LMS data structures and design reliable, automated data exchange workflows.
- Familiarity with standards such as SCORM, xAPI, or LTI is an advantage, depending on the integration requirements.
- Programming & Data Handling
- Strong understanding of data structures, data transformation, and validation.
- Ability to read, understand, and troubleshoot API payloads and integration logic.
- Working knowledge of SQL and relational databases for data validation and troubleshooting.
- Basic scripting knowledge in Python or JavaScript is preferred.
- Familiarity with regular expressions, data mapping, and JSON/XML processing.
- AI-Assisted Development & Automation
- Practical understanding of AI-assisted software development and automation practices.
- Ability to use AI tools to support workflow design, API analysis, documentation, troubleshooting, and test-case creation.
- Awareness of AI-driven workflow orchestration and intelligent automation capabilities.
- Ability to evaluate AI-generated solutions for correctness, security, reliability, and maintainability.
- Willingness to explore emerging Workato AI capabilities and identify relevant applications within LMS integration workflows.





Technical Leadership & Governance- The candidate should demonstrate the ability to:

- Own integration solution design and make sound technical decisions.
- Conduct design and code reviews to ensure adherence to established standards.
- Define reusable patterns and best practices for Workato development.
- Mentor developers and support technical problem-solving across the team.
- Establish standards for recipe naming, documentation, error handling, monitoring, and deployment.
- Identify integration risks, dependencies, and scalability concerns early.
- Ensure appropriate security controls, credential management, and access governance.
- Track integration reliability and recommend improvements based on recurring issues and operational metrics.
- Leadership & Collaboration Expectations
- Work closely with Business Analysts, Architects, Project Managers, Backend Engineers, QA Engineers, and DevOps teams.
- Lead technical discussions and contribute to integration planning and estimation.
- Break down complex integration requirements into manageable technical tasks.
- Support sprint planning, technical reviews, testing, and release readiness.
- Communicate technical risks, dependencies, and recommendations clearly.
- Take ownership of integration deliverables from requirement analysis through deployment and ongoing maintenance.
- Promote knowledge sharing, continuous improvement, and responsible adoption of AI-assisted development practices.
- Engineering Mindset
- Strong analytical and problem-solving skills.
- A proactive approach to identifying integration challenges and preventing recurring failures.
- Focus on building scalable, reliable, reusable, and maintainable automation solutions.
- Ability to balance delivery speed with quality, security, and long-term sustainability.
- Strong ownership mindset with the ability to work independently and guide other developers.
- Curiosity and willingness to explore new Workato capabilities, integration patterns, and AI-driven automation opportunities.

Workato certifications, such as relevant Automation Pro credentials. Experience with enterprise SaaS integrations, including LMS, HRMS, CRM, or identity management systems.

Familiarity with CI/CD practices and version control for integration development.

Experience with cloud platforms such as Microsoft Azure or AWS.

Understanding of data security, privacy, and enterprise integration governance.

Exposure to AI agents, LLM-based workflows, or AI orchestration platforms.

Ideal Candidate Profile The ideal candidate is a hands-on Workato technical leader with at least 6 years of Workato experience, capable of designing and managing complex enterprise integrations while guiding a development team. They understand that successful automation goes beyond connecting systems—it requires robust error handling, data integrity, security, scalability, and operational reliability.

They should be comfortable owning LMS integration workflows end-to-end, resolving complex technical challenges, establishing development standards, and identifying opportunities to leverage AI-assisted development and intelligent automation to improve delivery efficiency and platform capabilities.

Job Snapshot

Updated Date

19-10-2026

Job ID

Harb752

Department

Delivery Unit 1

Location

Baner, Pune, Maharashtra, India

Experience

6 - 8 Years

Employee Type

Permanent

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