Top Tech Jobs & Startup Jobs in Pune

Leads end-to-end cloud technology consulting projects, delivering scalable data and technology solutions for clients. Responsibilities include project leadership, technology strategy, delivery management, cloud architecture, data management, analytics, process automation, application development, team mentoring, business case development, and global client collaboration. The role also requires troubleshooting database, operating system, and application interactions and traveling as needed for client engagements.

Lead end-to-end technology consulting projects using cloud platforms, ensuring scalable, resilient, cost-effective solutions delivered on schedule and within budget. Manage global project teams, mentor team members, facilitate client interactions, develop business cases, and support innovation initiatives. Apply expertise in enterprise data management, advanced analytics, process automation, application development, databases, operating systems, and agile delivery while collaborating with clients and internal experts.

Designs and implements production-grade machine learning and GenAI features, pipelines, and platform components. Responsibilities include coding, testing, debugging, architecture support, code reviews, proofs of concept, agile collaboration, client requirements analysis, feature estimation, and mentoring. The role requires deploying ML models at scale, using ML engineering platforms and big-data technologies, and developing reusable metadata-driven batch and real-time data pipeline patterns.

Leads the enterprise Human Risk Management program, including security awareness, phishing resilience, role-based cybersecurity education, mandatory training, behavior-change initiatives, risk metrics, dashboards, governance, and executive reporting. Partners with security, HR, legal, technology, and business teams to reduce human-related cybersecurity risk. Evaluates awareness platforms, develops security culture programs, uses automation and AI, and maintains audit-ready documentation and continuous-improvement practices.

Leads client-facing data engineering engagements from discovery through production, translating business requirements into cloud architectures, ETL/ELT pipelines, data lakes, warehouses, and analytics solutions. Oversees technical delivery, project planning, quality reviews, testing, documentation, and stakeholder communications. Mentors engineers and consultants, drives coding and data quality standards, supports business development, and develops scalable solutions using Python, SQL, Spark, and major cloud platforms. The role also contributes to AI-enabled data engineering and supply chain or manufacturing solutions.

Support enterprise DLP and DSPM operations by monitoring and investigating data security incidents, tuning policies, conducting data discovery and classification, managing cloud and SaaS data sources, and preparing compliance reports and security metrics. The role collaborates with security, legal, privacy, compliance, HR, infrastructure, and business teams on incident response, remediation, and continuous improvement.

Manage AWS infrastructure across production, staging, and development environments. Responsibilities include incident response, troubleshooting, root cause analysis, monitoring, access management, patching coordination, resource and cost optimization, and maintaining high availability. The role supports Terraform-based provisioning, drift remediation, automation, and CI/CD infrastructure deployments while collaborating with Engineering, Security, and Data teams.

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.

Design, implement, and optimize endpoint and data protection platforms (EDR, DLP, CASB, EPM). Perform product evaluations, POCs, incident investigations, policy tuning, vendor roadmap reviews, and technical documentation. Collaborate with stakeholders to harden endpoints, improve data classification and detection logic, and apply AI/automation to security use cases.

Lead and contribute to end-to-end UX for a ZAIDYN product area: set strategy, drive usability and adoption metrics, solve complex data-dense workflows, hire and develop UX designers, enable delivery and cross-functional alignment, uphold design-system governance and accessibility, and contribute to platform-wide UX initiatives including AI patterns.