Top Tech Jobs & Startup Jobs in Pune

Manage enterprise macOS endpoints using Jamf Pro, Intune, or other MDM platforms. Responsibilities include configuring policies and compliance settings, packaging and deploying applications and patches, troubleshooting device and software issues, supporting security and lifecycle initiatives, monitoring endpoint health, and maintaining technical documentation.

Leads large-scale technology consulting and digital transformation programs for Life Sciences clients. Responsibilities include solution strategy, delivery governance, stakeholder management, enterprise data and AI implementations, client advisory, proposal development, account expansion, and global team leadership. The role requires expertise in Databricks or Snowflake, Medallion Architecture, cloud data platforms, Generative AI, Agentic AI, and intelligent automation, along with the ability to connect business strategy to technology execution.

The Senior Human Resources Associate leads talent acquisition for enterprise technology roles. Responsibilities include sourcing and screening candidates, managing requisitions and interview logistics, advising hiring managers and senior leaders, building talent pipelines, tracking recruiting metrics, coordinating technical interviews, improving candidate and interview processes, and supporting recruiting projects and knowledge-sharing initiatives.

Build and deliver client technology solutions using ETL platforms, SQL, data warehousing, programming, and cloud technologies. Own assigned activities across project lifecycles, apply Agile or Waterfall methodologies, support requirements, architecture, prototyping, testing, and operations, and assist with project management. Collaborate with global teams and clients while applying creative, analytical, and consulting-oriented problem solving.

Lead enterprise data and AI architecture for global clients, defining cloud-native target architectures, modernization roadmaps, governance frameworks, and GenAI solutions across AWS, Azure, and GCP. Advise executives, guide global engineering teams, oversee technical governance, support proposals and thought leadership, and build reusable architecture assets and centers of excellence.

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.