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Provides technical support and troubleshooting for web applications and APIs while developing backend services with Python and FastAPI and frontend components with ReactJS. Diagnoses production issues, optimizes application performance, assists with deployments and monitoring, documents technical solutions, and collaborates with remote engineering teams during US night support hours.

Investigate and resolve enterprise data quality issues across operational systems, vendor sources, and databases. Write complex SQL queries for reconciliation, validation, trend analysis, and post-deployment verification. Identify root causes involving source systems, integrations, ETL processes, vendors, and business workflows. Produce reconciliation and validation reports, document findings, maintain data quality metrics, and collaborate with business, engineering, database, and integration teams.

Lead product vision, backlog management, prioritization, requirements definition, stakeholder communication, Agile delivery, UAT, release planning, and product quality for enterprise applications. Collaborate with business stakeholders, customers, engineering, QA, DevOps, project managers, and analysts across ERP, warehouse management, supply chain, finance, and procurement platforms. Track delivery metrics, manage risks, support governance, and drive continuous improvement and business value.

Develop and deliver high-quality full-stack applications using Java, Spring Boot, and React.js. Responsibilities include building RESTful APIs, creating reusable responsive UI components, managing application state, integrating databases, implementing security, writing unit tests, and supporting deployment with Docker, Kubernetes, Jenkins, and Git. The role requires strong communication, analytical, teamwork, customer orientation, adaptability, and at least five years of relevant experience.

Lead architecture and technical direction for scalable, secure, cloud-native platforms. Mentor full-stack engineers across backend, frontend, and mobile development; promote AI-assisted development, DevOps, CI/CD, testing, security, governance, and observability. Guide cloud infrastructure, containerization, deployment pipelines, and release management while translating business needs into technical solutions and collaborating with project managers and stakeholders.

Build and operate production-grade Generative AI and Agentic AI applications. Responsibilities include developing LLM-powered systems, autonomous agents, orchestration workflows, RAG pipelines, guardrails, evaluation and observability systems, scalable serving infrastructure, and LLMOps processes. The role focuses on reliability, performance, cost optimization, safety, and integration with enterprise production environments.

Leads large-scale ERP transformation initiatives migrating custom and legacy applications to SAP or Oracle. Responsibilities include ERP strategy, solution leadership, process discovery, fit-gap analysis, application rationalization, integration and data migration support, vendor and systems integrator coordination, architecture governance, deployment, post-go-live stabilization, and continuous improvement.

Develop backend services and REST APIs using .NET Core and C#. Work with Microsoft SQL Server, database structures, stored procedures, and business logic. Support React frontend integration, third-party systems, and modules including catalog, cart, checkout, orders, quotes, approvals, and notifications. Optimize queries and backend performance, maintain secure scalable code, and contribute to technical analysis and application modernization planning.

Leads and mentors engineering teams while aligning technical goals with business objectives. Oversees scalable CI/CD pipelines, cloud-native infrastructure, DevOps automation, microservices architecture, system reliability, monitoring, code quality, testing, documentation, and technical debt reduction. Partners with architects and engineers on service boundaries, API standards, refactoring, and emerging AI and machine learning technologies.

Leads the design and delivery of customer-specific Power BI dashboards, reports, data models, and business intelligence solutions. Gathers requirements, develops DAX and Power Query transformations, integrates enterprise data sources, optimizes performance, ensures governance and security, leads stakeholder workshops and demonstrations, troubleshoots reporting issues, and mentors junior developers. The role requires strong customer-facing communication, analytical problem-solving, and the ability to translate complex business needs into scalable reporting solutions.