Senior Automation Engineering Specialist

Quarks Technosoft Pvt. Ltd.; Dadri, Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Quarks Technosoft Pvt. Ltd. seeks a Senior Automation Engineering Specialist to modernize automation platforms and build AI-enabled solutions across Finance and Supply Chain.

You will lead complex automation initiatives, collaborate with cross-functional teams, and drive enterprise-scale implementation. The role requires hands-on engineering excellence, deep knowledge of D365/Oracle/SAP ecosystems, Power BI analytics, and CI/CD-driven DevOps practices.

Qualifications

• 10–13+ years of experience in enterprise automation, ERP testing, and AI-driven engineering.
• Strong hands-on experience with Python, Playwright and other automation tools.
• Deep functional knowledge of Finance modules.

Responsibilities

• Design and build AI-powered enterprise agents using RAG, LLMs, and workflow automation.
• Develop conversational interfaces integrating Slack, Jira, Confluence, and enterprise systems.
• Deliver grounded AI responses by correlating defects, engineering discussions, and business-process knowledge.
• Architect and modernize automation frameworks using Python and Playwright.

Skills

Python

Playwright

Power BI

SQL

AI/LLM

Education

MS in Data Science

Tools

Jenkins

CloudBees CI

Azure DevOps

Git

API Gateway

AWS Lambda

EventBridge

Job description

Senior Automation Engineering Specialist

• D365
• Playwright
• Automation

Senior Automation Engineering Specialist

Position Overview

We are seeking a highly skilled Senior Automation & AI Engineering Specialist with deep expertise in enterprise automation, AI/RAG solutions, D365/Oracle/SAP systems, Power BI analytics, cloud engineering, and DevOps-driven CI/CD. The ideal candidate will modernize automation platforms, build scalable AI-enabled solutions, and support complex business-application landscapes across Finance and Supply Chain domains.

This role requires hands‑on engineering excellence, strong problem‑solving skills, and the ability to collaborate with cross‑functional business, QA, and engineering teams.

Key Responsibilities

AI, RAG & Conversational Automation

• Design and build AI-powered enterprise agents using RAG, LLMs, and workflow automation.
• Develop conversational interfaces integrating Slack, Jira, Confluence, and enterprise systems.
• Deliver grounded AI responses by correlating defects, engineering discussions, and business-process knowledge.
• Architect and modernize automation frameworks using Python, Playwright.
• Lead migrations from legacy automation tools to scalable, maintainable frameworks.
• Expand regression coverage across ERP, Ariba, Concur, Salesforce, Mainframe, and third‑party applications.

ERP & Business Process Automation

• Automate business processes across S2P, SCM, OTC and R2R processes .
• Support business migrations, and cross‑system workflow automation.
• Build Power BI dashboards, data models, and automated refresh pipelines.
• Integrate APIs, AWS Lambda and EventBridge into scalable data ingestion workflows.
• Deliver executive-facing analytics supporting forecasting, operational insights, and decision-making.
• Build CI/CD pipelines using Jenkins, CloudBees CI, Azure DevOps, Git, and CasC.
• Implement cloud-native automation using AWS Lambda, API Gateway, S3, and event-driven architectures.

Agile Delivery, Stakeholder Collaboration & Leadership

• Lead technical POCs, defect triage, and automation strategy discussions.
• Collaborate with business, QA, and engineering teams to drive automation adoption.

Required Qualifications

• 10–13+ years of experience in enterprise automation, ERP testing, and AI-driven engineering.
• Strong hands‑on experience with Python, Playwright and other automation tools.
• Deep functional knowledge of Finance modules .
• Experience building RAG/LLM-based enterprise agents and AI automation workflows.
• Expertise in Power BI, data modeling, SQL, and cloud-based data ingestion.
• Strong DevOps experience with Jenkins, CloudBees CI, Azure DevOps, Git, and CI/CD pipelines.
• Ability to lead modernization initiatives, mentor teams, and collaborate with global stakeholders.
• MS in Data Science or equivalent technical degree.

Preferred Skills

• Experience with AWS serverless architectures.
• Knowledge of performance testing tools (NeoLoad, LoadRunner).
• Experience with Salesforce, Ariba, SuccessFactors, and CRM automation.
• Familiarity with Hadoop, Spark, Kafka, and distributed data systems.
• Certifications in TOSCA, NVIDIA DLI, or AI engineering.