Top AWS Jobs in Pune

The Product Support Engineer monitors API traffic, troubleshoots issues across cloud technologies, and enhances customer satisfaction through engagement and collaboration with support and engineering teams, ensuring timely resolutions.

The Data Warehouse Operations Senior Engineer will monitor, maintain, and optimize the enterprise data warehouse, ensuring stability and performance of ETL, reporting, and cloud infrastructure. Responsibilities include troubleshooting, compliance, incident management, and system performance monitoring.

The Engineer III engages in designing, developing, and deploying applications, focusing on cloud infrastructure, microservices, and database management while mentoring junior engineers.

The role involves designing and implementing Python SDKs for SaaS products, collaborating on code reviews, and improving code quality through testing and customer support.

As a BPM Platform Analyst, you will drive the technical direction of platform projects, ensuring performance, security, and scalability of RPA and BPM solutions while collaborating with teams to meet business objectives.

Lead the design and optimization of data infrastructures, mentor engineers, and develop scalable data solutions while ensuring data integrity and security.

Lead the design and build of integration solutions, collaborating with teams to deliver robust architectures and mentoring new members.

Lead the Data Platforms Operations team, overseeing data infrastructure, database management, AI integration, compliance, and team leadership to align with business goals.

The role involves managing technical sales for Cloudflare's partners, designing solutions, and ensuring successful collaborations while engaging in high-level technical discussions.

Design and deploy AI/ML solutions on AWS, build data pipelines using Databricks and PySpark, and maintain legacy systems. Collaborate with teams to ensure efficiency and performance optimization in data processing.

Design and manage AWS database solutions including MySQL and PostgreSQL, monitoring performance, ensuring high availability, and implementing backup strategies.

The Senior Data Scientist will build AI and ML models to drive business decisions, translate user requirements into AI solutions, and enhance user experiences with technologies like Salesforce and ServiceNow.

The role involves developing software using Java, Python, and Angular, collaborating in an agile environment, and ensuring quality product offerings through testing and debugging.

The Principal Software Engineer will oversee software development for Autodesk's cloud data platform, contributing to architecture, design, and development, while collaborating with product owners and engineers.

Seek a Senior Software Engineer to design modular components and build cloud data interoperability solutions. Responsible for optimizing performance and API documentation.

Lead the design, development, and deployment of complex software systems while mentoring junior engineers and ensuring software scalability and performance.

The Director of Engineering will lead global engineering teams to innovate and deliver AI-powered enterprise solutions while fostering team development and engineering excellence.

Join the Azure Red Hat OpenShift Engineering team to contribute to Kubernetes provisioning, feature development, and quality assurance in a collaborative agile environment.

As a Senior Technical Consultant, you will deploy and implement Openlink solutions, mentor team members, and work directly with clients to meet their business needs.

Develop and maintain full stack web applications integrating AI/ML models. Collaborate with teams to ensure performance, security, and responsiveness while following coding best practices.

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 Multi Modal AI Senior Developer will create innovative AI-driven solutions and workflows for diverse creative content types, focusing on automation and integration of AI models and services into enterprise products.

The Lead QA role involves ensuring software quality through comprehensive testing, leading QA initiatives, and managing teams while implementing automation practices.

Develop and implement tests for embedded systems, utilizing AI tools for automating QA workflows, and collaborating with engineering teams on product requirements.

Join NVIDIA’s Embedded QA team as a Senior SWQA Test Developer. Responsibilities include developing and implementing tests for AI-based embedded systems, automating QA workflows, and collaborating with engineering teams to ensure high-quality software. Candidates should have strong programming and testing experience, particularly in embedded systems and AI tools.