SR PROGRAMMER 10515- Workato Integration & AI Automation Developer

Extreme Networks, Inc; Bengaluru; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Extreme Networks, Inc. in Bengaluru seeks an experienced Workato Integration & AI Automation Developer to build enterprise integrations, automation workflows, and AI-powered processes across Salesforce and other business applications.

The role requires strong hands-on Workato, Python, APIs, integration architecture, and AI/GenAI expertise, with working knowledge of Salesforce. 4-7 years of experience is expected.

Qualifications

• 4+ years of hands-on Workato experience.
• Strong Python programming background.
• Experience with REST APIs, webhooks, and OAuth.
• Designing enterprise integration architectures and data flows.
• Experience with AI/GenAI and LLMs in automation.
• Familiarity with enterprise applications such as Salesforce.
• Knowledge of AI agents, agentic workflows, MCP, and RAG concepts.

Responsibilities

• Design, build, and maintain Workato recipes, integrations, connectors, and automation workflows.
• Develop integrations between Salesforce, ServiceNow, Oracle, Snowflake, and other SaaS apps.
• Build reusable integration components, APIs, and services using Python.
• Design end-to-end integration and automation architecture and data flows.
• Develop AI/GenAI-powered automations using LLMs and enterprise data.
• Create agentic workflows where AI agents retrieve data, reason, and execute actions.
• Develop solutions using MCP, AI agents, APIs, and RAG architectures.
• Develop RAG-based apps bridging enterprise data with LLMs.
• Work with REST, webhooks, event-driven integrations, queues, and asynchronous processing.
• Implement robust error handling, logging, monitoring, and observability.

Skills

Workato

Python

APIs

Integration architecture

AI/GenAI

Salesforce

LLMs

REST APIs

Webhooks

Event-driven

AI Agents

Agentic workflows

MCP

RAG

Vector databases

Job description

We are looking for an experienced Workato Integration & AI Automation Developer to join our team. This role will focus on building enterprise integrations, automation solutions, and AI-powered workflows across Salesforce and other business applications.

The ideal candidate will have strong hands‑on expertise in Workato, Python, APIs, integration architecture, and AI/GenAI technologies, with working knowledge of Salesforce.

Experience: 4-7 Years

Key Responsibilities

• Design, build, and maintain complex Workato recipes, integrations, custom connectors, and automation workflows.
• Develop integrations between enterprise applications such as Salesforce, ServiceNow, Oracle, Snowflake, marketing platforms, and other SaaS applications.
• Build reusable integration components, APIs, and services using Python.
• Design end-to-end integration and automation architecture, including system interactions and data flows.
• Develop AI/GenAI-powered automations using LLMs and enterprise data.
• Build agentic workflows where AI agents can retrieve data, reason over information, and execute actions across enterprise applications.
• Build and integrate solutions using MCP (Model Context Protocol), AI agents, APIs, and RAG architectures.
• Develop RAG-based applications that combine enterprise data and knowledge sources with LLMs.
• Work with REST APIs, webhooks, event‑driven integrations, queues, and asynchronous processing.
• Develop Python utilities and services for data processing, API orchestration, AI integrations, and automation.
• Implement robust error handling, retry mechanisms, logging, monitoring, and integration observability.
• Troubleshoot complex integration, API, authentication, and data‑flow issues.
• Partner with architects, developers, business analysts, and business teams to translate requirements into scalable automation solutions.
• Ensure integrations follow enterprise standards for security, scalability, performance, and maintainability.

Required Qualifications

• 4+ years of strong hands‑on Workato experience.
• Extensive experience developing:
  • Workato Recipes
  • Custom Connectors
  • API Platform/API Recipes
  • Webhooks
  • Callable Recipes
  • Error handling and monitoring
  • Complex data transformations
• Strong hands‑on programming experience with Python.
• Strong understanding of:
  • REST APIs
  • JSON
  • OAuth
  • Webhooks
  • API authentication
  • Event‑driven architecture
  • Data integration patterns
• Experience designing enterprise integration architecture and system‑to‑system data flows.
• Experience integrating multiple SaaS and enterprise applications.
• Experience with AI/GenAI and Large Language Models (LLMs).
• Experience with prompt engineering and AI‑powered automation.
• Understanding or hands‑on experience with:
  • AI Agents
  • Agentic workflows
  • MCP
  • RAG
  • Vector databases / embeddings
• Ability to independently design and implement end‑to‑end automation solutions.