Jeevan Technologies (a Nobl Q company)

• Responsible for developing and maintaining SAP HANA-based reports and information models, supporting finance domain reporting requirements, and ensuring high-quality delivery and ongoing enhancements.
• Create new reports based on HANA views and table functions on HANA Cloud.
• Provide post-implementation support including bug fixes, enhancements, and upgrades for existing reports.
• Support end-users and troubleshoot issues related to existing reports.
• Collaborate with various teams and business stakeholders to understand requirements and implement report designs in the Finance domain across SAP modules such as FI, CO, HR, MM, and BI.

SAP HANA

• Work as an individual contributor to gather business requirements and provide effective SAP SD solutions.
• Participate in end-to-end SAP implementations across all project lifecycle phases.
• Design, configure, and implement SAP SD business scenarios.
• Develop functional specifications for new developments and change requests.
• Handle and manage RICEFW objects (Reports, Interfaces, Conversions, Enhancements, Forms, Workflows).
• Ensure integration of SAP SD with modules such as FICO, PS, and ABAP.
• Manage SAP SD pricing, rebates, and related configurations.
• Work on IDOCs, EDI integrations, and interface handling with external ecosystems.
• Interact with vendors and customers to define and refine requirements.
• Monitor daily support tickets, analyze issues, and drive them to closure.
• Provide effort estimates for incidents, enhancements, and project tasks.
• Perform basic debugging when required to support issue resolution.

SAP SD

Backend Engineer

• Develop and maintain web applications using Angular (front-end) and .NET (back-end).
• Collaborate with cross-functional teams to define, design, and deliver new features.
• Ensure application performance, quality, and responsiveness.
• Identify bottlenecks, debug issues, and implement fixes.
• Maintain code quality, organization, and automation processes.
• Participate in code reviews and provide constructive feedback.
• Stay updated with emerging technologies and apply best practices to improve applications.

Dotnet Fullstack Developer

QA Engineer

• Design, develop, and execute data quality test cases to validate data pipelines and ETL/ELT processes
• Monitor and trigger data pipelines, ensuring smooth execution and timely data delivery
• Run and maintain data quality scripts to identify anomalies, inconsistencies, and data integrity issues
• Perform data profiling and validation across multiple data sources and targets
• Collaborate with data engineers to implement data quality checks at various stages of the pipeline
• Perform root cause analysis (RCA) for data anomalies and pipeline failures
• Troubleshoot pipeline failures and data quality issues, working to resolve them efficiently
• Document data quality standards, testing procedures, and validation results
• Generate data quality reports and communicate findings with engineering teams
• Develop automated testing frameworks to improve data quality validation efficiency
• Focus primarily on validating and assuring quality of existing pipelines (not building full pipelines)

Quality Engineer

ServiceNow

• Define enterprise architecture and AI strategy leveraging Now Assist across ITSM, CSM, HRSD, and enterprise workflows.
• Architect and optimize conversational AI solutions using Now Assist Virtual Agent, including advanced dialog orchestration and GenAI-based interactions.
• Design and implement Agentic AI frameworks for autonomous workflow execution and multi-step reasoning use cases.
• Lead implementation and optimization of Predictive Intelligence and Task Intelligence models including classification, clustering, similarity, regression, and recommendation engines.
• Establish AI governance, monitoring, compliance, and lifecycle management strategies using AI Control Tower.
• Architect secure, scalable, and high-performing ServiceNow solutions aligned with enterprise architecture standards.
• Provide technical leadership for AI model validation, prompt engineering standards, hallucination mitigation, and bias controls.
• Lead integrations with external AI/ML platforms, LLM providers, and enterprise systems via REST/SOAP APIs.
• Define CI/CD strategies, DevOps automation, and release governance for AI deployments.
• Conduct architecture reviews, performance tuning, and platform optimization.
• Mentor developers, QA teams, and administrators on AI best practices and ServiceNow architectural standards.
• Collaborate with executive stakeholders to align AI initiatives with business outcomes and ROI objectives.
• Drive innovation by evaluating emerging AI capabilities within the ServiceNow ecosystem.

ServiceNow AI Architect

• Lead and support SAP FICO implementations and enhancements in S/4HANA environment.
• Gather business requirements and translate them into functional specifications.
• Configure and customize SAP FI (GL, AP, AR, AA, Bank Accounting) and CO (Cost Center, Profit Center, Internal Orders, Product Costing, COPA).
• Support S/4HANA Finance features such as Universal Journal, New Asset Accounting, and Financial Closing processes.
• Perform system testing (Unit Testing, Integration Testing, UAT) and provide user training.
• Collaborate with technical teams for RICEFW developments and integrations.
• Provide production support and resolve functional issues.
• Ensure compliance with financial regulations and internal controls.
• Participate in data migration, system upgrades, and rollout activities.

SAP FICO Consultant

• Lead end-to-end QA strategy for ServiceNow AI modules including Now Assist , Now Assist Virtual Agent , Agentic AI capabilities, and AI-driven workflows.
• Validate AI-generated summaries, content generation, resolution notes, and conversational accuracy.
• Test and optimize Predictive Intelligence and Task Intelligence models including classification, clustering, similarity, and regression use cases.
• Perform functional, regression, integration, UAT, and automation testing across ITSM, CSM, HRSD, and custom applications.
• Validate AI governance, monitoring, and model lifecycle management within AI Control Tower.
• Conduct prompt validation, LLM output validation, bias detection, hallucination testing, and response quality benchmarking.
• Design and maintain automated test frameworks (ATF) within ServiceNow.
• Perform API, integration, and workflow testing for AI-powered automation.
• Collaborate with developers, architects, and data scientists to validate AI models and ensure quality releases.
• Analyze logs, troubleshoot defects, and ensure high platform performance and reliability.
• Support CI/CD pipelines and DevOps quality gates for AI deployments.
• Prepare test strategy documents, test cases, traceability matrices, and QA reports.