Top Tech Jobs & Startup Jobs in Delhi

The Infrastructure Design Lead is responsible for leading a cross-functional team, mentoring the DevOps team, driving improvements, and designing hybrid infrastructure solutions that align with architectural standards, emphasizing security and service reliability.

Manage, validate, migrate, and QA/QC environmental data in EQuIS and related systems; configure workflows, build Power BI dashboards, support reporting, automate processes, and prepare documentation and SOPs to ensure data quality and compliance across global projects.

Deliver EHS/ESG due diligence and Phase I Environmental Site Assessments for M&A, divestitures, joint ventures, and project finance. Conduct desktop and field assessments, on-site inspections, stakeholder interviews, regulatory and compliance reviews, report preparation, permitting support, soil/groundwater risk assessment, proposal development, project management, and present findings to clients. Frequent travel and strong English communication required.

Support ESG and EHS buy- and sell-side due diligence for M&A transactions from ERM's Global Delivery Centre. Conduct desktop research, assess environmental liabilities, evaluate EHS/ESG governance and compliance, prepare technical reports and proposal sections, coordinate global teams, and assist project managers with project administration, costing, and materiality assessments.

Lead and deliver SAP EHS Product Stewardship (PS) implementations and BPO services: gather requirements, design/configure SAP EHS PS (Specification Management, SDS, GLM, DG, SVT), manage infrastructure (GenPC/Expert), build WWI templates, support data migration, testing, UAT, training, and ongoing system support. Drive solution selection, client engagement, project delivery, and development of a PS BPO center of excellence.

Senior SAP developer responsible for designing and building SAP EHS, Product Compliance, and sustainability solutions in S/4HANA and SAP BTP. Deliver ABAP and cloud integrations, Fiori/UI5 front-ends, OData services, and DevOps-enabled deployments while supporting product compliance content and architecture for manufacturing and chemicals/pharma clients.

Design and implement AI-powered data pipelines and workflows combining LLMs, embeddings, vector search, and RAG to transform structured and unstructured data into business-ready outputs. Build APIs and full-stack integrations, produce Excel/PDF/Word deliverables, optimize relational and vector data stores, and prototype scalable AI solutions while contributing to engineering best practices.

Lead optimisation of cloud and enterprise AI investments by implementing FinOps practices, monitoring and reporting spend, creating cost-allocation and chargeback models, governing AI adoption, partnering with technical and business teams, providing forecasting and strategic recommendations, and driving measurable savings and accountability across the organisation.