Workato Integration Engineer

7 days ago

Noida, Uttar Pradesh, India Cloudsufi Full time ₹ 15,00,000 - ₹ 25,00,000 per year

We are seeking a highly skilled and innovative AI Integration Specialist to join our dynamic team. This pivotal role will be responsible for designing, developing, and implementing robust and scalable integration solutions using the Workato platform, with a strong focus on leveraging its AI capabilities to automate complex business processes and connect disparate applications. You will play a crucial part in enhancing our operational efficiency, enabling seamless data flow, and driving digital transformation initiatives across the organization.

Qualifications:


• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience.


• Proven 6+ years of hands-on experience in designing, developing, and deploying integrations using the Workato platform.


• Strong understanding of Integration Platform as a Service (iPaaS) concepts and enterprise application integration (EAI) patterns.


• Demonstrate experience with Workato's AI capabilities, including building solutions with AI by Workato, IDP, or Agentic AI.


• Proficiency in working with various APIs (REST, SOAP), webhooks, and different data formats (JSON, XML, CSV).


• Experience with scripting languages (e.g., Ruby, Python, JavaScript) for custom logic within Workato recipes is a plus.


• Solid understanding of database concepts and experience with SQL/NoSQL databases.


• Excellent problem-solving, analytical, and troubleshooting skills with keen attention to detail.


• Strong communication and interpersonal skills, with the ability to effectively collaborate with technical and nontechnical stakeholders.


• Workato certifications (e.g., Automation Pro I, II, III, Integration Developer) are desirable.


• Experience with Agile/Scrum methodologies is a plus.

Preferred Skills (Nice to Have):


• Experience with other integration platforms (e.g., MuleSoft, Boomi, Zapier).


• Familiarity with cloud platforms (AWS, Azure, GCP).


• Knowledge of microservices architecture.


• Experience with version control systems (e.g., Git).

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