Top AWS Jobs in Pune

As an AI / ML Engineer, you'll develop applications utilizing AI tools, apply GenAI models, and ensure high-quality production pipelines, focusing on machine learning operations and collaborating with teams to enhance performance.

As an AI / ML Engineer, you will develop applications leveraging AI tools and cloud services, focusing on quality pipelines and integrating generative AI models.

Develop end-to-end AI systems using LLMs, design RAG pipelines, integrate vector databases, deploy AI services, and optimize performance.

The Senior Product Software Engineer will develop web applications using .NET technologies, design and implement APIs, optimize performance, mentor junior staff, and utilize cloud services for deployment.

The AI/ML Engineer will develop end-to-end AI systems, design pipelines, integrate AI APIs, ensure production quality, and perform rapid prototyping.

Lead architecture and delivery of enterprise-scale full‑stack features, own end-to-end implementation, mentor engineers, collaborate with product and design, triage production issues, and improve system reliability, performance, and observability.

The Web Solution Architect will design and lead technical solutions for digital platforms, ensuring quality, security, and delivery in an Agile environment.

The Lead WordPress Developer will oversee custom WordPress architecture development, lead a team, and implement headless CMS solutions using Next.js and React.js, while ensuring best practices in coding and performance.

The Technical Lead is responsible for delivering full-stack features, delegating tasks to AI agents, and ensuring production-ready code through rigorous review processes, while working with both legacy and modern parts of the platform.

Lead the technical vision and development of SaaS microservices for data protection services, overseeing design and implementation while ensuring quality and scalability.

The Senior Software Engineer develops innovative software solutions, collaborates with teams, maintains system standards, and improves engineering processes while debugging production issues.

The Software Principal Engineer develops complex software solutions, contributes to architecture, and collaborates across teams to meet business goals.

Develop and maintain full stack Java applications, collaborate on system architectures, conduct code reviews, and resolve performance issues while adhering to Agile practices.

As an Engineering Manager, you will lead a team of engineers, ensuring high software quality and timely project delivery while fostering collaboration and innovation.

The IT Application Owner is responsible for application stability, compliance, and the software delivery lifecycle, ensuring effective release management and collaboration among teams.

As a Data Modeler AVP, you will shape the enterprise data landscape, enforce data governance standards, and create robust data models for regulatory reporting, while collaborating with stakeholders to optimize data provisioning and alignment with enterprise standards.

The Sr. Engineer will design and implement software solutions, oversee technical execution, mentor junior developers, conduct code reviews, and troubleshoot issues while ensuring engineering alignment with bank strategy.

The QA Manager will develop and execute the QA strategy, manage a team, ensure customer satisfaction, and drive continuous improvement in quality processes and tools.

Lead and develop end-to-end full-stack applications while providing technical guidance. Ensure architectural integrity, optimize database services, manage CI/CD practices, and mentor development teams in an agile environment.

The Software Engineer will develop platform APIs for Autodesk's Product Data team, focusing on cloud technology and collaborating with various stakeholders to enhance products.

The Enterprise Infrastructure Architect is responsible for designing and implementing IT solutions, overseeing technical implementations, and ensuring compliance with architectural standards while collaborating with various stakeholders.

The Senior Data Analyst will analyze complex datasets, develop data transformation pipelines, manage pricing processes, and communicate insights to stakeholders.

Lead the design and development of scalable data pipelines using Ab-initio and Python, migrating workflows, ensuring data quality, and mentoring team members.

The Data Engineer role involves developing and deploying AI/ML solutions, building data engineering solutions, and applying statistical methods for insights.

The Senior Data Engineer will lead AI initiatives, focusing on data engineering, machine learning, and analytics, driving technical direction and mentoring team members.