Top Tech Jobs & Startup Jobs in Pune

Work with internal and client teams to analyze business problems, design and implement technical features using SQL, Python, and cloud platforms. Contribute to development, testing, and deployment using modern methodologies (agile, QA, unit testing). Support project implementation plans, translate requirements into technical designs, and collaborate across teams to deliver scalable Gen AI and analytics solutions.

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.

Lead design and delivery of learning and development programs across India. Partner with HRBPs and business stakeholders to identify needs, execute training, measure program effectiveness, ensure high-quality delivery, align with global teams, and enhance learning pathways while working in a matrixed environment.

Partner with recruiters and hiring managers to design and execute global sourcing strategies, build diverse talent pipelines, leverage GenAI and advanced sourcing techniques, produce market intelligence and talent maps, maintain ATS/CRM data, and present insights to stakeholders to support strategic hiring across functions and geographies.

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.

The Advanced Data Science Associate Consultant will develop algorithms, execute statistical techniques, collaborate with clients, and integrate engineering principles into data science workflows.

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.