Top Tech Jobs & Startup Jobs in Pune

Prioritize and quantify cyber risk by correlating vulnerability data, threat intelligence, attack paths, adversary behavior, and business impact. Model exposure scenarios across identity, cloud, network, and endpoint environments; partner with red and blue teams; translate technical findings into business risk; track remediation and residual risk; communicate risk posture to security leadership, GRC, and engineering stakeholders; and influence security investments based on measurable risk reduction.

Provides Tier 1–3 technical support for end users across software, hardware, conference room, warehouse, server, network, and enterprise systems. Resolves escalated issues, installs and upgrades PC components and software, manages technology assets, supports collaboration and virtual platforms, addresses service outages, and trains users. Works under supervision on routine technical problems and limited-scope projects.

Leads SAP testing strategy, architecture, standards, automation, and quality processes across enterprise applications. Manages teams of 12–15 specialists, coordinates internal and external stakeholders, oversees testing across multiple projects, develops scalable solutions and roadmaps, establishes KPIs and configuration standards, and drives organizational change. The role requires extensive SAP business-process knowledge, strong program and people management, technical leadership, and collaboration across global onshore-offshore teams.

Coordinates master data management and governance activities, supporting data strategy, quality, standards, policies, metrics, validation, standardization, enrichment, protection, and publication. Collaborates with teams to resolve complex data-related problems, execute responsibilities, maintain operational efficiency, and support trusted data use for regulatory and business goals.

Coordinates master data management and governance activities, supporting data strategy, quality, standards, policies, metrics, validation, standardization, enrichment, protection, and publication. Resolves complex data-related issues, ensures effective execution of responsibilities, collaborates with team members, and supports trusted data use for regulatory and business goals.

Administer SKAN AI and ProHance platforms, develop Power BI dashboards and operational reports, analyze productivity and process data, and deliver actionable insights for continuous improvement. The role supports process discovery, automation, workflow solutions, system integrations, data modeling, and operational performance measurement. It also partners with stakeholders, provides platform guidance, develops documentation, and contributes to process optimization, capacity planning, and data-driven business decisions.

Supports IAM audit and compliance activities by coordinating evidence collection, reviewing control documentation, tracking findings and remediation, conducting control testing and access reviews, and preparing audit-readiness metrics. Uses Excel, Microsoft Copilot, AI tools, and automation to analyze data, improve evidence quality, identify risks, and strengthen security control maturity.

Administer SKAN AI and ProHance platforms, develop Power BI dashboards and automated reporting, analyze operational and workforce data, and identify process improvement opportunities. The role supports process intelligence, productivity analysis, workflow automation, system integrations, business application development, and data-driven recommendations. Responsibilities also include stakeholder engagement, user training, documentation, governance, platform maintenance, and translating business requirements into scalable analytics and process optimization solutions.

Manages and governs data assets by supporting data strategy, quality, standards, access, validation, standardization, protection, and publication. Works on limited-scope data management projects, follows established procedures, resolves routine technical issues, and supports trusted data use for regulatory and business goals. The role may require multiple shifts, including late-night shifts.

Build, maintain, and optimize enterprise data platforms using Databricks, Apache Spark, cloud technologies, and DevOps tools. Develop CI/CD pipelines, support cloud migration and automation, monitor platform health, resolve incidents, and ensure security, governance, reliability, and operational standards. Collaborate with engineers, architects, product teams, stakeholders, and global support teams while participating in rotational production support shifts.