Top Tech Jobs & Startup Jobs in Pune

Designs, develops, tests, deploys, and supports Oracle ERP Cloud integrations using OIC and BIP. Builds outbound and payment-related reporting solutions, creates reusable integration frameworks, optimizes SQL, data models, templates, integrations, and reports, and troubleshoots production issues. Supports technical design, SIT/UAT, deployments, and enterprise integration standards while explaining architecture and implementation decisions.

Designs, develops, and supports enterprise integrations using Oracle Integration Cloud. Builds REST and SOAP APIs, file-based, database, and application integrations connecting Oracle Cloud, third-party, and on-premises systems. Configures mappings, lookups, connections, fault handling, and error management; monitors production integrations, troubleshoots issues, performs root-cause analysis, and supports testing, deployment, documentation, and production operations while collaborating with onsite teams and stakeholders.

Designs and governs Salesforce integration architecture across ERP, middleware, third-party applications, and enterprise systems. Defines integration patterns, API management, authentication, security, monitoring, error handling, and performance standards. Produces architecture documentation, guides API governance, collaborates with enterprise architects, and troubleshoots production issues. Requires extensive enterprise integration and Salesforce experience, strong knowledge of Salesforce APIs, middleware, event-driven architecture, microservices, and authentication protocols.

Designs and maintains complex Salesforce and Tableau reports, dashboards, data sources, and visualizations. Partners with stakeholders to define KPIs, metrics, data definitions, and reporting requirements. Optimizes performance, permissions, refreshes, integrations, and data accuracy across Salesforce, Tableau, and enterprise systems. Leads mockup reviews, supports executive reporting cycles, trains users, and troubleshoots reporting discrepancies. Requires strong Salesforce reporting, Tableau, SQL, stakeholder communication, and dashboard design expertise.

Lead the technical design, configuration, scripting, integration, and deployment of ServiceNow ITOM solutions for external customers. Configure ITSM, ITOM, and CMDB applications; develop tables, forms, access controls, workflows, automations, data imports, and custom JavaScript solutions. Manage Discovery, Service Mapping, Event Management, Orchestration, CMDB, IRE, and cloud governance. Integrate ServiceNow with enterprise systems including Active Directory, SSO, SCCM, Workday, SAP SuccessFactors, and Jira.

Leads ServiceNow technical execution across ITSM, enterprise service management, CMDB, portals, and custom applications. Designs workflows, catalog items, integrations, scripts, and automated testing; performs upgrades, troubleshooting, performance tuning, data loads, reporting, and L3 support. Collaborates with stakeholders in Agile sprints, conducts code reviews, provides technical direction, and mentors developers.

Lead AI Engineer building production-grade backend microservices, API integrations, cloud-native services, and AI-native features. Responsibilities include GenAI and agentic workflow integration, code reviews, testing, troubleshooting, cloud deployment, intelligent automation, client technical consulting, solution design, pre-sales support, mentoring, and AI engineering framework development.

Owns enterprise Salesforce data architecture, including scalable data modeling, governance, quality, migration, lifecycle management, security, compliance, performance optimization, integrations, backup and recovery. Leads large data volume strategies, audits data health, establishes data contracts, and mentors Salesforce developers and administrators. Requires extensive Salesforce data architecture experience, ETL expertise, knowledge of relational databases, data warehousing, MDM, privacy regulations, and Salesforce Shield.

Leads enterprise Salesforce data migration initiatives, including strategy, extraction, transformation, cleansing, relationship mapping, API-based loading, and validation. Migrates structured and unstructured data across Salesforce clouds and Data Cloud while supporting Agentforce and RAG readiness. Uses ETL tools, SQL, SOQL, scripting, and automation to process high-volume datasets, preserve data integrity, enforce governance, and meet Salesforce Trust Layer requirements.

Designs and executes enterprise Salesforce and Data Cloud migrations, including ETL, schema and relationship mapping, unstructured data ingestion, high-volume API automation, validation, deduplication, and governance. Prepares clean, standardized, vectorized data for Agentforce and RAG workflows. Works with legacy databases, Salesforce integration tools, SQL, SOQL, and scripting languages to support complex consolidations and AI-ready data architectures.