Top Tech Jobs & Startup Jobs in Pune

Develop statistically effective algorithms and apply machine learning, deep learning, and generative AI techniques to high-dimensional problems. Use hypothesis testing, data mining, and big-data tools to identify trends, build predictive models and recommender systems, collaborate with clients and stakeholders, and evaluate emerging datasets and technologies for scalable analytical solutions.

Provide 24x7 monitoring and incident management across Windows, Linux, VMware and hybrid cloud using SolarWinds and Splunk. Administer SolarWinds platform, tune alerts/reports, perform first-line triage, support patching/change processes, troubleshoot virtualization and AWS, and coordinate escalations following ITIL practices.

Lead DevSecOps initiatives by integrating security into CI/CD pipelines, operate and configure SAST/DAST/SCA/container/IaC scanners, triage and remediate vulnerabilities, support developers with tooling and secure development practices, and help mature enterprise application and cloud security programs.

Manage end-to-end Salesforce deployments and DevOps across Dev/QA/UAT/Pre-Prod/Production. Design and maintain CI/CD pipelines (SFDX, Jenkins, Azure DevOps, GitHub Actions), use Copado/Gearset, enforce branching and quality gates, handle rollback/back-sync/backup/sandbox refreshes, ensure data masking and metadata consistency, support multi-country implementations, and maintain deployment governance and documentation.

Partner with senior leaders to prioritize and drive space initiatives, optimize operations, manage budgets and pipelines, prepare leadership presentations, run workshops and events, and build processes to improve space performance across strategy, people, BD, and capability development.

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.

As an Enterprise Architect, you will define enterprise data architecture, lead cloud platform modernization, establish governance frameworks, and integrate AI-driven solutions while mentoring global teams.

The Data Architect Lead is responsible for designing scalable architecture solutions, engaging with clients, and innovating technology assets while mentoring juniors and driving business growth.

The Lead AI Scientist will design and optimize LLM architectures, fine-tune models, develop AI systems, mentor junior members, and collaborate with clients and teams on AI solutions.

The Engineering Lead will design and implement technical features, work on ML pipelines, and mentor engineers while ensuring high-quality deliverables. This role requires collaborating with teams and managing the ML lifecycle for business value.