Top AWS Jobs in Pune

The Site Reliability Engineer will ensure cloud-native system stability and performance, manage AWS infrastructure, and optimize reliability in Java microservices.

As a Sales Solutions Engineer, you'll support customers in evaluating Sonar's products, deliver technical presentations, troubleshoot issues, and ensure successful product adoption.

The Senior Data Engineer will design and implement ELT processes, build data pipelines, collaborate with teams, utilize AWS services, and ensure seamless data integration.

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 IT Systems Engineer will design, automate, and manage IT infrastructure and cloud environments, focusing on automation, security, and collaboration.

Develop software strategies, define architecture standards, and advise on technology integration and governance for enterprise solutions.

As a Senior Quality Platform Engineer, you will develop and maintain quality infrastructure, improve developer experience, and implement quality engineering practices to ensure scalable, efficient testing workflows.

The DevOps Engineer will build and maintain CI/CD pipelines using Azure DevOps and Terraform, manage AWS infrastructure, and improve observability with Datadog, ensuring services are up to date.

Design, develop, and manage data pipelines and architectures for analytics and machine learning, collaborating across teams while establishing DataOps practices.

Lead design and optimization of data pipelines, mentor engineers, ensure data quality, collaborate with teams, and drive improvements in data architecture.

Manage the enterprise product catalog ensuring data accuracy and governance. Lead a team, enhance products using data insights, and support digital platforms.

The role involves supporting and developing software applications, resolving integration issues, and enhancing automation pipelines in a DevOps setting for financial services.

The Data Engineer will build and maintain systems for data collection, storage, processing, and analysis, ensuring data accuracy and security while collaborating with data scientists on machine learning models.

Lead and execute Linux system migrations to cloud, ensuring data integrity and minimal downtime while collaborating with cross-functional teams.

The Infrastructure Engineer will develop, maintain, and optimize infrastructure platforms, manage incidents, implement automation, enhance security, and collaborate with teams to ensure reliability and scalability of systems.

The Data Engineer will design and develop software solutions, manage data pipelines, collaborate with cross-functional teams, and ensure code quality and performance.

Design, develop and improve software solutions while collaborating with cross-functional teams for seamless integration and alignment with business objectives. Ensure quality and security of code, and manage team performance.

The Cloud Data Engineer role involves building and maintaining data infrastructures, designing data warehouses, collaborating with data scientists, and ensuring data security and accessibility.

The role involves building and maintaining data architectures, implementing data warehouses and lakes, developing algorithms, and collaborating with data scientists.

Responsible for building and maintaining data systems, developing data pipelines, architectures, and collaborating with data scientists on machine learning models.

Design, build and maintain data pipelines, warehouses and lakes using PySpark, Snowflake and AWS; implement processing algorithms, support ML model deployment, and lead or advise teams while ensuring security and data quality.

Build and maintain data architectures and pipelines, design data lakes and warehouses, and collaborate with data scientists to develop solutions.

Lead design and delivery of scalable AI-driven software, collaborate across product and engineering, implement secure coding and testing practices, deploy LLMs and agentic AI on cloud platforms, and guide technical strategy and mentorship.

The Senior QA Manager will lead a high-performing QA team, drive automation strategies, ensure quality in web applications, and manage testing integrations into CI/CD pipelines while collaborating across teams.

Manage and operate customer MongoDB deployments: troubleshoot availability and performance, perform capacity planning, backups and recovery, implement security best practices, tune performance, deliver proactive improvements, collaborate with SRE/platform teams to build automation and monitoring, and participate in on-call follow-the-sun support and scheduled shifts.