Top Tech Jobs & Startup Jobs in Mumbai

Lead ICIS’s South Asia sales function, developing commercial strategy, managing sales leaders and teams, building senior customer relationships, creating opportunities, negotiating complex solutions, and overseeing CRM, incentives, budgets, KPIs, compliance, and performance. The role requires strong knowledge of India’s petrochemical, refining, energy, chemical, and industrial value chains, along with the ability to develop talent and influence internal and external stakeholders.

Leads quality engineering and testing initiatives, converting manual tests into automated solutions using modern frameworks. Responsibilities include writing maintainable code, contributing to CI/CD pipelines and cloud-native deployments, troubleshooting production issues, performing root cause analysis, reviewing code, improving reliability and security, and mentoring junior engineers. The role requires .NET/C# expertise, automation experience, cloud and containerization knowledge, Agile practices, and strong analytical and collaboration skills.

Engineer and operate enterprise AI platforms across Microsoft Copilot, Copilot Studio, Power Platform, and Azure AI. Responsibilities include platform governance, agent lifecycle management, deployment automation, DLP and access controls, enterprise integrations, monitoring, reporting, cost controls, and remediation of ungoverned AI assets. The role partners with Security, IAM, Architecture, Service Management, and FinOps teams to establish secure, scalable, and automated AI platform operations.

Designs, automates, and manages reliable Azure cloud infrastructure, with a focus on AKS clusters, Terraform, Helm, Argo CD, CI/CD pipelines, Docker, observability, security, networking, and high availability. Collaborates with software engineering and information security teams to improve deployments, system architecture, operational processes, disaster recovery, and cloud cost optimization.

Support and improve on-premises and Azure data platforms through pipeline monitoring, incident resolution, troubleshooting, automation, and observability. Maintain Python-based jobs, Windows servers, cloud data services, logging, alerting, dashboards, and operational documentation. Perform root cause analysis, resolve production issues, track reliability metrics and SLAs, communicate with stakeholders, and automate repetitive support activities to improve platform performance and reliability.

Lead and mentor a cross-functional development team to design, build, and deliver resilient, scalable full-stack applications. Serve as primary technical contact, solve complex architectural and coding problems, engage with customers and product owners, and drive technical excellence across microservices, frontend-backend integration, and data storage solutions.

Designs, develops, and optimizes scalable ETL/ELT pipelines and data platforms using Azure Data Factory, Databricks, PySpark, Spark SQL, HPCC, and ECL. Ingests and transforms structured and semi-structured data from diverse sources, develops data models and optimized workloads, and collaborates with analysts, data scientists, and application teams to deliver secure, reliable solutions for analytics and operational needs.

Manage and configure Workday Talent and Performance modules, provide Tier III support, oversee performance review and talent processes, and drive system improvements. Partner with HR stakeholders on requirements, testing, reporting, release management, compliance, documentation, and training. Build reports and dashboards, maintain system integrity, analyze enhancements, and support global and local HR technology changes.

Build and maintain scalable data integration systems, including web scrapers, API integrations, automated ingestion workflows, microservices, and backend services. Implement monitoring, logging, alerting, security, and error handling; troubleshoot production issues and optimize performance. Collaborate with product managers, engineers, and stakeholders on technical design, code reviews, documentation, and continuous improvement.

Lead software development for complex, scalable products using Python, AI/LLM tools, RAG pipelines, AWS, and Microsoft SQL Server. Responsibilities include designing, enhancing, and troubleshooting software; resolving customer issues; contributing to planning and estimation; developing reusable components; sharing technical knowledge; mentoring colleagues; and collaborating across teams while applying Agile, Scrum, and security engineering practices.