Top Tech Jobs & Startup Jobs in Chennai

Configure and support ServiceNow SOM/SOMT and Logik CPQ solutions, including product catalogs, order decomposition, orchestration, fulfillment, activation, pricing, and integrations with OSS/BSS and external systems. The role requires troubleshooting, lifecycle management, Agile/SAFe delivery, and collaboration on user stories. Telecommunications experience and knowledge of TM Forum standards are preferred.

Configure, customize, and support ServiceNow applications and modules. Manage releases, monitor performance, troubleshoot issues, maintain system stability, document configuration changes, and implement integrations using APIs and web services. Collaborate with cross-functional teams to gather requirements and deliver application enhancements. The role also involves low-code development, release management, and mentoring junior team members.

Design, build, configure, and lead development of Salesforce applications using Lightning Web Components. Collaborate with stakeholders and cross-functional teams to translate business requirements into scalable user interfaces and integrations. Serve as a subject matter expert, make team decisions, mentor junior developers, troubleshoot issues, and ensure timely delivery. Responsibilities also include API integration, testing, debugging, performance optimization, and use of collaborative development workflows.

Provides application support for critical business systems, diagnosing and resolving complex software issues across multiple components. The role monitors system performance, improves reliability, coordinates incident resolution, collaborates with cross-functional teams, and mentors junior staff. It also gathers requirements and designs, implements, tests, and documents Coupa procurement integrations. The position requires expertise in Coupa, strong troubleshooting and analytical skills, stakeholder communication, and experience with enterprise application support.

Design, develop, and enhance custom software components using modern frameworks and agile practices. Translate complex business requirements into scalable technical solutions, integrate across multiple systems, and improve application performance and quality. Serve as a subject matter expert, collaborate across teams, make technical decisions, lead process improvements, and mentor junior engineers.

Configure, support, and optimize packaged or SaaS applications using SAP BTP Datasphere, APIs, and low-code platforms. Manage releases, integrations, troubleshooting, compatibility, performance, and system stability. Lead application configuration efforts, make team decisions, collaborate across functions, provide solutions for complex issues, and mentor team members while aligning application capabilities with business objectives.

Architect and deliver enterprise-grade full-stack applications using AI-assisted development tools and prebuilt AI services. Define scalable architectures, integrate LLM copilots, RAG, conversational APIs, and cloud-native technologies, and ensure security, compliance, reliability, and performance. Collaborate with engineering and AI-native teams to improve software delivery practices without owning ML model training or MLOps. The role requires extensive Java full-stack development experience and strong enterprise SDLC knowledge.

Leads the design, configuration, integration, evolution, and release management of packaged and SaaS solutions. Establishes platform standards for stability, performance, and reliability; troubleshoots complex issues; and delivers scalable solutions aligned with business and vendor requirements. The role coordinates cross-functional teams, makes technical decisions, drives best practices, and mentors junior team members.

Design and implement production-ready AI and machine learning applications using Google Cloud Platform and cloud AI services. Integrate generative AI models into scalable cloud or on-premises pipelines, with potential work in deep learning, neural networks, chatbots, and image processing. Lead technical design, coordinate cross-functional integration, make team decisions, provide expertise across teams, and mentor engineers. Optimize AI workloads for performance and cost while managing model deployment and lifecycle processes.

Leads end-to-end architecture and delivery of enterprise Google Cloud Conversational AI solutions. Defines scalable patterns using Dialogflow CX, CCAI, Agent Assist, Knowledge Bases, Vertex AI, and generative AI models. Advises senior stakeholders, leads technical teams, governs delivery, optimizes performance, mentors architects and developers, and integrates virtual agents with CRM, contact center, and backend systems.