Top Tech Jobs & Startup Jobs in Pune

Leads end-to-end planning, execution, governance, and delivery for large transformation programs with multiple workstreams and stakeholders. Establishes PMO frameworks, manages risks and dependencies, solves complex problems, maintains momentum, and partners with clients and senior leaders. Mentors junior PMO professionals and ensures successful outcomes across Agile, Waterfall, and hybrid environments.

Administer, configure, develop, and architect ServiceNow solutions across ITSM, CSM, CMDB, and asset management. Build custom applications, workflows, automations, integrations, and self-service capabilities; support upgrades, releases, security, performance, and governance. Troubleshoot platform issues, conduct root cause analysis, maintain documentation, and collaborate with stakeholders to deliver scalable enterprise solutions.

Manage AWS infrastructure across Prod/Stage/Dev, handle incident management and root cause analysis for core AWS services, ensure availability and performance, monitor health and cost, perform access management and resource optimization, support Terraform-based provisioning, automate operational tasks, and work with CI/CD pipelines while collaborating with Engineering, Security, and Data teams.

Performs manual penetration testing of web, mobile, API, and microservices applications; conducts secure code reviews and design assessments; identifies and validates vulnerabilities; documents findings; supports remediation and incident response; guides junior testers; and promotes secure coding and application security awareness.

Lead the evolution of ZS’s global finance technology ecosystem, including SAP S/4HANA migration from SAP ECC. Translate finance requirements into scalable systems and process solutions, coordinate enhancements and integrations, strengthen forecasting, revenue recognition, close, project finance, reporting, governance, and controls, and support adoption and change management across global teams.

Lead the enterprise-wide data security and governance strategy, establishing policies, controls, classification standards, lifecycle processes, and compliance practices. Oversee data security tooling across cloud, SaaS, and hybrid environments, including DLP, DSPM, data catalogs, SIEM, IAM, and encryption integrations. Manage risk assessments, incident response, breach remediation, stakeholder adoption, training, and governance KPIs. Lead and mentor a team of data security professionals while managing tooling and organizational change.

Support data governance policy implementation, data discovery, classification, cataloging, quality monitoring, metadata and lineage documentation, risk assessments, audits, tool administration, and remediation. Partner with data owners, stewards, and IT teams to promote secure, compliant, and trusted data. Provide training, user support, workflow assistance, and governance dashboards for leadership.

Build and deploy AI and machine learning solutions using distributed computing, cloud platforms, data pipelines, and production-grade software engineering practices. Responsibilities include technical requirements analysis, feature development, testing, code reviews, agile collaboration, architecture validation, and prototyping emerging technologies. The role partners with data scientists, architects, client-facing teams, and clients to deliver scalable AI solutions and manage machine learning lifecycles.

Supports enterprise business continuity, disaster recovery, governance, risk, and compliance programs. Responsibilities include conducting business impact analyses and risk assessments, maintaining continuity and crisis plans, coordinating technology recovery testing, managing emergency communications, delivering resilience training, supporting exercises, tracking corrective actions, and preparing metrics and reports for leadership and compliance reviews.

Lead the implementation and continuous improvement of an enterprise Project Risk Management operating model and Archer platform. Translate governance, compliance, contractual, and risk requirements into workflows, controls, decision trees, and assessment processes. Drive stakeholder adoption, standardization, governance forums, platform enhancements, and cross-functional collaboration across Legal, Privacy, Security, Compliance, Quality, and Risk teams. Support AI-enabled risk indicators, automation, evidence collection, and decision-support capabilities.